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.     

基于发文内容的微博用户兴趣挖掘方法研究

本文针对微博用户兴趣属性缺失问题,提出一种基于发文内容分析的微博用户兴趣挖掘方法。利用基于短语的主题模型和自动构建的用户兴趣知识库,能够有效地从发文内容中挖掘出高质量的用户兴趣短语并标识其类别,从而实现对微博用户的兴趣挖掘。在SMP CUP 2016数据集上的实验结果表明,主题短语模型在困惑度和短语质量上取得的效果均优于传统的主题模型,用户兴趣挖掘的准确率和召回率最高可达到78%和82%。     

路易氏碱在阴离子聚合领域中的应用 Ⅱ.活化作用

路易氏碱在阴离子聚合领域中用途十分广泛，其重要性有待进一步认识。本文仅介绍它对活性种（包括引发剂和活性聚合链末端）的活化作用。     

新型层状表面相锆基固体酸催化酯化反应研究

将所研制的层状表面相锆基固体酸催化剂用于一元、二元醇醋酸酯和其他羧酸酯类产品的合成 ,考察了其催化性能。研究发现 :层状表面相锆基固体酸催化剂对所考察的酯化反应具有很好的普遍适用性 ,但其酯化率与醇的性质和结构密切有关。催化反应动力学研究表明乙酸与丁醇、戊醇、己醇的酯化反应均为二级反应 ,且反应活化能均较低 ,分别为 47 4kJ/mol、2 3 3kJ/mol和 19 8kJ/mo     

A FUZZY MATCH BASED EXPERT SYSTEM FOR SYNTHESIS OF SEPARATION PROCESSES

A predictive parallel search algorithm,the fuzzy match inference strategy,is implemented ina prototype expert system.Selection of separation technologies and sequencing of separators are beingapproached in an integrated manner.The fuzzy match mechanism results in a relatively smaller subsetof favored schemes,constituting a hyperstructure for further quantitative evaluation and combinationoptimization.An industrial application example of aromatics extraction separation is presented.     

将开滦建成国内一流煤炭洗选加工基地的构想与实施

着重对开滦煤炭洗选加工的现状进行了分析和研究 ,总结了目前选煤系统存在的问题与差距 ,论证了开滦建设一流煤炭洗选加工基地的定位、主要内容 ,结合实际情况提出了实施建议。     

Influence of the pH of Water on its Electron-Accepticity and Donicity

By means of contact angle measurements on dry layers of electrostatically neutral dextran with pure water (pH 6.1), water acidified with HCl (to pH 1.94) and water made alkaline with NaOH (to pH 12.8), it could be shown that there was essentially no change as a function of pH in the ratio of γ⁺/γ^- of water as compared with the aqueous acid and alkaline solutions. (Here γ⁺ is the Lewis acid parameter of the polar surface tension component of water and γ^- is its Lewis base parameter). In contrast, with contact angles measured with the same liquids on negatively charged clean glass, a significant decrease in contact angle was observed with water at pH 12.8, which was caused by the fact that at this alkaline pH an increase in surface hydrophilicity took place. This is because surfaces that have a given surface electrical potential at neutral pH generally acquire an even higher surface potential under more alkaline conditions which, concomitantly, also gives rise to an increase in surface hydrophilicity, and thus to lower contact angles with water. Finally, contact angles with acid water, pure water, and alkaline water, deposited on hydrophobic Parafilm surfaces, were exactly the same.     

IPN压电阻尼材料的研究进展

阻尼材料广泛应用于交通工具、产业机械、建筑土木、家用电器、精密仪器和军事装备等领域。科学技术的不断发展,对阻尼材料的要求不断提高。本文主要综述了阻尼材料的发展状况,阐述了粘弹性阻尼、高阻尼合金、阻尼复合以及聚合物基压电智能阻尼材料的阻尼机理,并详细分析介绍了聚合物基IPN压电阻尼材料的设计原理及阻尼效果。     

钛基体化学镀镍及其耐蚀性能

采用化学镀在钛基体上制备Ni-P合金镀层.研究了活化时间、镀液pH值、热处理温度及时间对镀层的影响.用动电位极化曲线法比较镀层的耐均匀腐蚀性能,并用X-射线衍射仪和扫描电子显微镜分别研究镀层结构和表面形貌.结果表明,以HF为主剂的活化液,时间60 s,pH值4.8～5.2的活化工艺以及250 ℃、保温2 h的热处理为最佳工艺.镀层具有较高的耐蚀性能,属于非晶和微晶组成的混晶结构.借助于正交试验,确定了最佳工艺.     

晃动基座下捷联惯导的抗干扰自对准算法

针对捷联惯导(SINS) 晃动基座下, SINS 难以快速实现自对准的问题, 提出SINS 的抗干扰自对准算法. 该算法通过将初始对准问题转化为Wahba 求解问题来消除角运动干扰的影响; 利用惯性坐标系重力矢量和晃动干扰加速度的频率特点, 通过设计低通滤波器对比力在惯性坐标下的投影进行滤波来消除线振动干扰的影响. 仿真结果表明, 该算法不需要进行粗对准, 能够在角运动干扰和线振动干扰同时存在的情况下快速实现自对准.