基于本体的数字卡通项目知识共享与维护

针对数字卡通项目开发过程中知识管理和共享所面临的难题,提出了一种基于本体的数字卡通项目知识共享和维护解决方案。探讨了如何构造面向数字卡通项目管理的本体COPMO,给出了一种基于本体的知识共享和推送框架CKSF,并且研究了COPMO本体的演化和维护问题。     

多样性制导分段进化的基因表达式编程

为了解决基于传统基因表达式编程（GEP）的函数挖掘及其改进算法仍然存在局部优化的缺陷这一问题,提出了以基因组多样性制导的分阶段进化挖掘算法DGGEP。给出了GEP 进化阶段和基因组多样性评估模式的定义;提出了描述进化阶段的进化因子概念和分阶段进化策略;采用动态遗传算子设计和群体规模控制方法,使进化更快速跳出局部最优。实验表明了新算法的有效性,能减少进化停滞代数65％以上,使群体的平均适应度提高12%以上。     

逻辑表达式图的实现及其在集成电路故障 可测性中的应用

数字电路的可靠性有着至关重要的影响,测试是其重要保证,测试向量的自动生成(ATPG)在数字电路的测试中占有重要地位;逻辑表达式图(Boolean Expression Diagrams,BED)是用于逻辑函数与逻辑电路表达与运算一种数据结构,能够将逻辑电路在线性空间复杂度内表达,是二元判决图(Binary Decision Diagrams, BDD)在概念上的推广且保留着BDD的许多有用的性质。讨论了BED的性质与实现方法,并将BED用于逻辑电路呆滞型故障测试向量的自动生成中,基于BED的测试算法直接将原电路与故障电路做异或运算后用BED表达再化简或判断其可满足性,算法能充分使用逻辑代数的化简规则和利用电路与故障电路的相似性。实验结果表明,基于BED的测试方法具有较低的复杂度。     

Capturing Expert Knowledge for Supporting Design and Manufacturing of Injection Molds

Knowledge based approach is effective for renovating design and manufacturing processes. The objective of this paper is to investigate roles and usages of expert engineering knowledge in high-quality manufacturing, and to study a practical knowledge capturing method for realizing engineering support tools. An engineer oriented interface for a capturing method is proposed, and a flexible representation framework is studied for various types of expert knowledge. An integrated knowledge-based system has been developed for mold design support. The results have been evaluated by design and manufacturing of molds for cellular phones, and have shown substantial reduction of lead time for mold production.     

机床故障诊断系统知识表示的研究

针对所研究的机床故障诊断专家系统，以故障树分析法为基础，采用面向对象的事件知识表示方法。并以面向对象编程技术给出了知识表示的示例。分析了这种知识表示方法的特点。实践证明，这种知识表示方法在故障诊断专家系统中是确实有效的，而且这种表示方法融合了多种传统知识表示方法的长处，是一种值得研究与应用的方法。     

CIM技术在塑性成型工程的应用

本文根据国外ＣＩＭ技术发展的概况，针对塑性成形工程的特点，提出了塑性成形工程中实施ＣＩＭＳ技术应用和研究的几个重要的方向，同时，从系统集成的角度，指出基于知识集成的智能制造系统应是ＣＩＭＳ进一步发展的重点，最后，对这类系统建模的基本技术与方法进行了讨论。     

人Leptin基因的克隆及其在大肠杆菌中的表达

目的克隆Leptin基因,构建其重组表达菌株,并对表达产物进行免疫学鉴定。方法利用RT-PCR方法从脂肪细胞RNA中扩增出人瘦素前体(pre-Leptin)的cDNA片段和去信号肽序列的Leptin成熟基因片段,并插入pET32a中,转化大肠杆菌BL21(DE3),获得表达重组人瘦素(rh-Leptin)的菌株。结果DNA序列分析显示获得的pre-Leptin和成熟基因片段的序列与预计序列一致,菌株诱导后经SDS-PAGE检测,rh-Leptin表达量达菌体总蛋白的40%以上。Western blot分析显示重组Lep-tin具有免疫学活性。结论已获得高效表达Leptin的重组菌株。     

大肠杆菌肉碱脱水酶基因的克隆、测序及高效表达

［摘 要］目的 克隆并表达大肠杆菌肉碱脱水酶基因。方法 用聚合酶链反应（PCR）从大肠杆菌K12s中扩增大肠杆菌肉碱脱水酶基因caiB，测定其DNA序列，将caiB基因重组到T7启动子控制下的表达载体pET－28a（＋）中，构建表达质粒pETCaiB，转化大肠杆菌BL21（DE3），用1mmol/L异两基硫代-β-D半乳糖苷（IPTG）诱导表达。结果 克隆得到的肉碱脱水酶编码基因 caiB长度为 1221bp，与文献报道值相比,DNA序列有26个不同，氨基酸序列只有一个不同，即302位的丙氨酸变为苏氨酸。重组菌经IPTG诱导，可高效表达，SDS－PAGE分析表达蛋白相对分子质量约43000，表达产物含量占菌体总蛋白45％以上。结论 得到了高效表达肉碱脱水酶的重组菌，为制备L-肉碱创造了条件。     

Development of a Composite Knowledge Manipulation Tool: K-Expert

A goal of this study is to develop a Composite Knowledge Manipulation Tool (CKMT). Some of traditional medical activities are rely heavily on the oral transfer of knowledge, with the risk of losing important knowledge. Moreover, the activities differ according to the regions, traditions, experts’ experiences, etc. Therefore, it is necessary to develop an integrated and consistent knowledge manipulation tool. By using the tool, it will be possible to extract the tacit knowledge consistently, transform different types of knowledge into a composite knowledge base (KB), integrate disseminated and complex knowledge, and complement the lack of knowledge. For the reason above, I have developed the CKMT called as K-Expert and it has four advanced functionalities as follows. Firstly, it can extract/import logical rules from data mining (DM) with the minimum of effort. I expect that the function can complement the oral transfer of traditional knowledge. Secondly, it transforms the various types of logical rules into database (DB) tables after the syntax checking and/or transformation. In this situation, knowledge managers can refine, evaluate, and manage the huge-sized composite KB consistently with the support of the DB management systems (DBMS). Thirdly, it visualizes the transformed knowledge in the shape of decision tree (DT). With the function, the knowledge workers can evaluate the completeness of the KB and complement the lack of knowledge. Finally, it gives SQL-based backward chaining function to the knowledge users. It could reduce the inference time effectively since it is based on SQL query and searching not the sentence-by-sentence translation used in the traditional inference systems. The function will give the young researchers and their fellows in the field of knowledge management (KM) and expert systems (ES) more opportunities to follow up and validate their knowledge. Finally, I expect that the approach can present the advantages of mitigating knowledge loss and the burdens of knowledge transformation and complementation.     

A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers

The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Supply Chain (SC) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify and rank the solutions of KM adoption in SC and overcome its barriers. The AHP is used to determine weights of the barriers as criteria, and fuzzy TOPSIS method is used to obtain final ranking of the solutions of KM adoption in SC. The empirical case study analysis of an Indian hydraulic valve manufacturing organization is conducted to illustrate the use of the proposed framework for ranking the solutions of KM adoption in SC to overcome its barriers. This proposed framework provides a more accurate, effective and systematic decision support tool for stepwise implementation of the solutions of KM adoption in SC to increase its success rate.