Exploration of Constructions of Enterprise Knowledge Management Systems

knowledge management is an effective method to improve the enterprise's competitive ability. To construct knowledge system is the base for the performance of knowledge management. According to the theory and method of system engineering, information system and information management, this paper gives an architecture of enterprise knowledge management system basing on management information system. The architecture includes several main parts, such as knowledge base, knowledge base management system, people for knowledge management and users. A function structure of knowledge management system is given too.     

Study on Application Model of Knowledge Expression

As a key resource, the knowledge management is becoming a research field interested by many researchers. In order to study the mathematics theory base of knowledge expression, in this paper, a knowledge expression model is given. In this model the knowledge system is expressed by multi-tuple, the single knowledge object is expressed by the tuple, a structural expression of knowledge is given using token as example and the application of the model in city water supply pipe network is presented in this paper.     

Influencing Factors and the Concept Model of Human-information System Interaction Efficiency

The importance of human-information system interaction efficiency within enterprise informationization environment is analyzed.The intension of human-information system interaction efficiency is studied from definition,characteristic and evaluation.According to different properties,the influencing factors of human-information system interaction efficiency are divided into five kinds,including human factor,information system factor,management factor,environment factor,and technology factor.On this basis,the concept model of human-information system interaction efficiency is brought forward,and mechanisms of influencing factors to human-information system interaction efficiency are discussed in the model.The analysis indicates: As the core parts of the model,human factor and information system factor determine interaction efficiency directly.Management factor restricts or supports efficiency of human and information system.Environment factor and technology factor bring indirect influence to interaction efficiency by restricting or supporting human factor and information system factor.     

对中国村级民主性质的理论认知及其实践价值——以西方民主理论为分析维度

对中国村级民主性质的认知是村级民主政治实践的反映,是村级民主政治实践的产物。任何这方面的认知都应包含一定的实践价值,以引导村级民主政治实践的发展。如果这种认知不能客观地反映村级民主政治实践的内容,也就无法为村级民主政治实践的发展提供正确的方向。因此对中国村级民主性质的理论认知是一项至关重要的理论工作,而西方民主理论可以为这一工作提供有益的分析维度。     

Customer knowledge identify and application in collaborative product creative design

Customer involvement in product innovation can improve design efficiency effectively. Identifying customer knowledge quickly and applying it into the process of product design can enhance the product design capability of manufacturing enterprise. Rough set theory is used to simplify the variety of customer knowledge and identify the important customer knowledge. In order to select the customer with great contribution, a customer knowledge contribution measurement model based on Fuzzy Analytic Hierarchy Process and Shapley (FAHP S) is proposed to determine the importance weights of customer knowledge and member influence weights in group decision. An example is presented to illustrate the effectiveness of this model.     

Knowledge discovery model of basic oxygen furance steelmaking based on Rough Set Theory

The characteristics of the knowledge discovery for basic oxygen furnace(BOF) steelmaking are analyzed by using the Rough Set Theory. The production data of BOF steelmaking are preprocessed by using the methods of data withdrawal, standardization, discretization and so on. The main influencing factors of steelmaking production are set as the knowledge discovery property. The endpoint control objectives of BOF steelmaking are used as the decision attribute of knowledge discovery. Then the knowledge discovery model of BOF steelmaking based on rough set theory is established, which makes the automation of the production knowledge discovery, access and rule extraction come true. The model is tested by using the production data of 210 t BOF, and takes the temperature variation of smelting endpoint as the decision attribute. The results show that the influencing factors, such as silicon content, iron ore weight, oxygen consumption and so on, are of very importance to the endpoint temperature of molten steel. Besides, the rules of molten steel temperature extracted by the model vary with current converter steelmaking process, which proves the validity of the model.     

Will breeding for nitrogen use efficient crops lead to nitrogen use efficient cropping systems?: a simulation study of G×E×M interactions

The benefits of improving nitrogen use efficiency (NUE) in crops are typically studied through the performance of the individual crop. However, in order to increase yields in a sustainable way, improving NUE of the cropping systems must be the aim. We did a model simulation study to investigate how improvement of NUE traits of individual crops affects the succeeding crops and the NUE of the crop rotation. Based on experimental results parameterization was altered for different types of improved NUE in the EU-Rotate_N model, e.g. through higher N harvest index, reduced litter loss or improved root depth penetration rate. The different ways of improving NUE have different effects on the cropping system, affecting either N uptake, the ability of the crop to hold on to N already taken up, or the fraction of crop N being harvested. Due to the different modes of action, the model simulations show that these changes in NUE traits will also have different effects on N leaching loss and on N availability and N loss in the following years. Simulations also show that the effect of genotypes with improved NUE depend on environment and crop management. This is true for the improved crop itself and when its effect is analyzed for the whole cropping system. The environmental conditions, crop choices and management will all affect the fate of the N left in the soil, and whether this will contribute mainly to leaching loss or be used for production in later crops. As an example, increasing pre-crop fertilization was shown to affect the leaching after the following oilseed rape crop with up to 50 kg N ha^?1 taken up before it was lost to the environment when pre-crop fertilization as well as root depth penetration rate was high. All in all, the simulations illustrate the concept of NUE as the result of interactions between genotype, environment and crop management (G×E×M).     

棉花适宜密度与播种量设计的动态知识模型

通过分析和提炼有关棉花种植密度与播种量的最新研究资料,在综合量化气候条件、土壤类型、产量目标、管理水平和品种特性等影响因子的基础上,建立了具有时空适应性的棉花种植密度和播种量设计动态知识模型,可用于精确定量不同环境和不同产量目标下的种植密度和播种量。利用不同生态点、不同品种、不同土壤类型和不同产量目标等资料对知识模型进行了验证,结果表明模型具有较好的决策性和适用性。     

Influence of information processing ability on human information system interaction efficiency

The essentiality of human information system interaction efficiency was analyzed under the computerization environment of enterprises. Information processing ability was measured from three dimensions: working memory, cognitive skill, and computer self efficacy. The experimental method was used to study the influence of information processing ability on human information system interaction efficiency. Multiple regression results show that cognitive skill is the main factor influencing interaction efficiency for skill based tasks, working memory is the main factor for rule based tasks, and working memory has no significant influence on interaction efficiency for knowledge based tasks. Working memory and computer self efficacy are the main factors influencing interaction efficiency for total tasks.     

基于知识溢出效应的供应链企业利益协调研究

针对知识溢出时供应链企业间的利益分配问题,引入了供应链成员的参与度和贡献因子等来模拟资源共享或协同创新活动所产生的溢出现象,并提出了包括共享认知、技术差距、经济与空间地理、溢出风险控制和溢出成果补偿等主要驱动因素。综合运用修正Shapley模型和专家打分的方法进行模糊组合决策分析,通过模拟由3个成员组成的供应链企业,计算出每个成员的贡献度和其对知识溢出的效应差异,发现知识共享认知因素和溢出效果的补偿因素对供应链企业整体利益协调有较大的影响。最后指出修正模型的合理性,结果也表明知识溢出的量化是个关键性问题,也亟需相应补偿机制的研究。     

Efficiency of product collaborative innovation design based on the attribute and matching task

The degrees that the design agent capacity matches the design task are an important factor affecting the efficiency of collaborative product innovation design. The classification and quantitative calculation of different types of design agent capacity combination is carried out after the characteristic of design agent is analyzed. An efficiency model whose goal is the shortest entire time is constructed based on the definition of task attribute,and then the solving method of efficiency model are designed based on particle swarm optimization algorithm. The collaborative product innovation design of cabin is taken as an example to prove that considering the matching agent attribute with task can shorten the design cycle and improve design efficiency.     

Selection Theory and Method of Stock Investment Strategy

The author analyzes and concludes the factors that affect the stock market, and gives out the theory basis of the model and its feasibility; Then, based on the related knowledge of statistics and unit exchange, the selection theory and its corresponding model of stock investment strategy are gotten to describe the risk situation of stock market. At last, the author concludes the selection method of stock investment strategy and does the empirical study to prove that the strategy is both right and efficient.     

石灰岩贫困山区农户土地利用转型影响因素研究

石灰岩山区因土地利用存在可用面积少和可利用方式有限等诸多问题,容易导致农村贫困问题产生,研究石灰岩贫困山区影响农户土地利用转型的因素,探讨与现代农业发展相适应的土地利用模式有助于缓解石灰岩贫困山区的贫困问题。本文基于广西壮族自治区环江毛南族自治县洛阳镇的问卷调查数据,运用二值选择Logit模型从农户土地利用结构、土地利用权属和土地利用方式三个方面着手,系统分析现阶段影响农户土地利用转型的因素。研究结果表明：政府的土地承包政策依然是影响农户土地利用转型的主要因素;而农户自身的家庭类型、个人特征、资源禀赋、经济因素则分别通过农户不同方面的土地利用转型需求影响农户的土地利用行为。当地政府应以农村土地“三权分置”政策为基本原则,根据石灰岩山区的特殊背景,从差异化修正完善农村土地承包政策、健全农村土地流转市场等方面合理引导农户土地利用行为,提高土地利用效率,实现土地资源的可持续利用。     

Review on the measurement theories of enterprise knowledge management during the past three years in China

The implement of enterprise knowledge management gives rise to extensive research on its measurement. Based on the existing measurement theories and evaluation index systems of enterprise knowledge management during the past three years in China, this paper analyzes the problems in measuring target and designing the evaluation index system in the existing research findings, and explains detailedly why measurement target of enterprise knowledge management should be "level evaluation" instead of "performance evaluation", and definitely points out the meanings of enterprise knowledge management level and significance of its evaluation. This paper also indicates that the design of the evaluation index system should be complete, reasonable, proper and operable.     

硫酸亚铁对铬渣滤液中六价铬的处理研究

铬渣废水中由于Cr6+浓度高,对环境以及人的健康存在潜在危害,因此有必要进行研究处理。笔者通过单因子试验研究硫酸亚铁投药量、pH、搅拌速度、搅拌时间和反应时间5种参数对含铬废水处理的影响。研究结果表明,5种影响因素中对含铬废水处理效果最明显的是投药量,试验条件下的各单因子的最佳条件分别为：投药比为80;pH为7~8;反应时间为20 min;搅拌速度为快速搅拌;搅拌时间为10 min。     

农业科研机构知识管理的研究

科研机构是知识创新型单位,是知识密集型组织,科研机构的绝大多数产出与知识管理密切相关。由于人们理解的角度和范围不同,对农业科研机构的知识管理的认识也存在着不同的解释。本文探讨了农业科研机构知识管理研究的背景、必要性以及基本内容,认为农业科研机构的知识管理的核心在于隐性知识的显性化。这对于正确理解知识管理实务和构建农业科研机构的知识管理理论体系具有重要指导意义。     

Building innovative capacity in regional entrepreneurship and innovation (eco)systems: Startups versus incumbent firms

This article studies how three sets of regional factors—knowledge, agglomeration, and openness—impact and interact differently with startups and incumbent firms in their innovative capacity building. Based on a large dataset of Chinese high-tech firms, regression analysis shows that the speed of growing startup innovative capacity relies positively on regional knowledge stock and localization economies. In addition to regional knowledge stock, incumbent innovative capacity building benefits from urbanization economies and regional openness. Favorable regional factors, including the presence of universities and the clustering of knowledge-intensive peers, also enable startups (but not incumbents) to leverage internal knowledge assets into their innovative capacity. The results suggest that it is not only the access to the external knowledge environment but also proactive endeavors to cross-fertilize between internal and external knowledge that underlie the eco-systemic nature of startup innovative capacity building.     

Research on Independent Product Development for Concurrent Collaborative Environment & Supporting Technologies

This article deals with the research on the features and collaborative process of independent development of key automobile parts. It generally employed concurrent engineering theory and technologies of Internet & Intranet, computer aided design (CAD), computer aided manufacturing (CAM) and product data management (PDM). Field knowledge on independent development of key automobile parts was concluded and a set of concurrent collaborative environment and key enabling supporting technologies that face the independent development of automobile body panel dies were also built up. Meanwhile it introduced the secondary development methods of knowledge based engineering (KBE) to implement the knowledge transformation of designing and manufacturing experiences for an enterprise. The results was applied for the development & production of one of this enterprise's new automobile styles and work well.     

湖南省粮食产量波动的影响因素分析及预测

旨在维护国家稳定,为预判粮食生产前景、提高粮食生产效率、保障粮食安全提供理论依据。利用湖南省统计数据,运用灰色关联分析法筛选关联性较强的影响因素,并建立GM(1,N)预测模型预测粮食产量。2008—2017年与湖南省粮食产量关联度最大的影响因素是粮食作物播种面积和农业机械总动力;科技因素是影响2008—2017年湖南省粮食产量的主要因素,其次是自然因素,社会因素;2018—2027年湖南省粮食产量有较小波动,且农业机械总动力和财政农业支出影响较大;农业机械总动力在前后十年对粮食产量都有较重要的影响,越来越占据主导地位。粮食产量受国家政策的影响,受农业机械总动力影响最大,维持产量水平需高度重视农业机械化水平,稳步提高粮食作物播种面积。     

Real time self learning method of diagnostic knowledge in intelligent diagnosis system

Aiming at real time diagnostic knowledge accumulation and updating in intelligent diagnostic system, to simulate the process experts accumulate and update fault diagnostic knowledge, a new real time diagnostic knowledge self learning model is proposed based on pattern comparing and updating. Abnormal distribution test of hypothesis is used to compare real time equipment fault pattern to equipment normal pattern of contingent knowledge. The algorithm of sample size estimation algorithm is used to calculate the number of samples which is used to obtain necessary diagnostic efficiency. Real time model updating algorithm is used to adjust the diagnostic knowledge model to actual equipment on the spot. Analysis to actual test data of equipment shows that the method could achieve new diagnostic knowledge accumulation and be adaptive to actual equipment on the spot.