基于MYGCC的编程规则检查算法研究

MYGCC是一个编程规则检查工具,其目前的检查算法存在局限性,不能完整地展示违反编程规则的程序路径。本文提出并实现了一种改进的编程规则检查算法,可以弥补上述的局限性。实验表明改进算法是有效的,此改进有助于用户更准确地定位错误位置,方便对编程错误的修正。     

基于规则引擎的电子采购逆向竞拍的研究

近年来规则引擎技术已广泛应用于金融、电子商务及制造业等领域。当前大型企业的采购方式越来越多样化,传统采购系统所采用的逆向竞拍方案已不能满足现有需求。本文研究了规则引擎技术在企业电子采购系统中的应用,以将程序代码和业务规则分离开来。企业可以按照不同采购需求个性化配置采购规则,规则引擎控制整个拍卖过程,拍卖结束后系统再利用规则引擎自动对报价进行评分,帮助企业选择最优供应商,使其在采购过程中降低成本,提高采购效率。     

基于词间关系分析的文本特征选择算法

传统的特征选择方法通常使用特征评价函数从原始词集中筛选出最具有类别区分能力的特征。这些方法是基于以独立的词作为语义单元的向量空间模型,忽略了词与词之间的关联关系,难以突出文本内容中的关键特征。针对传统特征选择方法的不足,本文提出一种新的基于词间关系的文本特征选择算法。该方法考虑对文本内容表示起到关键性作用的词,利用关联规则挖掘算法发现词语之间的关联关系,并且通过相关分析对强关联规则进行筛选,最终生成与类别属性密切相关的特征空间。实验结果表明,该方法更好地表示了文本的语义内容,而且分类效果优于传统算法。     

基于信息元的教学资源组织系统设计与实现 *

以文本类型教学资源为研究对象,在领域知识可拓信息网模型和CELTS-3的基础上,阐述了基于信息元的教学资源组织系统设计与实现过程,包括信息特征元数据描述框架、特征词获取、信息元距离度量、信息元匹配规则以及匹配算法等.该系统通过有限的信息元描述无限的资源,实现了教学资源的高效组织,支持学习过程中资源自动重组.     

基于量化规则格的关联规则渐进更新*

提出一种基于量化规则格的规则更新算法,重点讨论了在新增格节点的过程中规则更新的思想,实现在格的渐增生成过程中,相应的关联规则也得到渐进更新.最后给出简单实例说明规则更新算法的正确性.     

论儒家"差等观"及其对中国法治的影响

作为中国各种哲学渊源中影响最大的儒家思想,其“差等观”深刻地体现于家庭（族）生活、社会生活、政治和法律生活等方面的理论当中,对中国古代的法思想影响至深.在当代中国的法治建设进程中,应当对传统的“差等观”加以扬弃改造,批判继承,在全社会树立现代的、注入自由平等观的“差等观”.     

ECAP制备的亚微米7050铝合金的力学性能和微观结构

采用等通道角挤压法 (ECAP法 )制备亚微米 70 5 0铝合金。为了提高合金的力学性能 ,在挤压过程中增加了固溶时效处理工艺 ,并对 70 5 0铝合金在不同处理工艺条件下的显微组织和力学性能的变化进行了研究。结果表明 :ECAP挤压后进行固溶和时效处理能明显提高合金的力学性能。退火态合金经过ECAP后 ,晶粒尺寸明显细化到亚微米级。将挤压一次的试样进行固溶处理和时效处理 ,合金的强度在 5 75MPa左右 ,而延伸率能达到2 5 .5 %左右 ;若经等通道角挤压过的试样在固溶处理后立即进行再次挤压 ,并配合时效处理 ,合金强度能迅速达到 6 16MPa ,延伸率为 16 .9%。     

Monte-carlo modeling of grain growth in Zr equal channel angular pressed and recrystallized

Grain boundary character distribution in equal-channel-angular pressed Zr was studied. Using a die design of 90°/20° and an operation temperature of 350°C. The initial grain size of 20 μm was reduced to about 270 nm with 4 passes via route B_c. The grain growth kinetics of the recrystallized state was obtained by experiment and Monte-Carlo computer simulation, respectively, which showed good agreement. Based on kinetics and morphological characteristics, it was concluded that the grain coarsening mechanism was governed by normal grain growth. No sign of abnormal grain growth was detected either in the experiment or in simulation despite taking into consideration anisotropy in grain boundary energy as well as its mobility. This indicates that grain boundaries produced by severely deformed Zr are stable against explosive coarsening. The evolution characteristics of the microstructure in the present ECA pressed and recrystallized Zr differed from those of cold rolled Ti in that the grain boundary misorientation distribution and texture were rather stable during grain growth. Jointly Appointed by the Center for Advanced Aerospace Materials This article is based on a presentation made in the 2002 Korea-US symposium on the “Phase Transformations of Nano-Materials,” organized as a special program of the 2002 Annual Meeting of the Korean Institute of Metals and Materials, held at Yonsei University, Seoul, Korea on October 25–26, 2002.     

区域生态水利经济系统的初步探讨

根据生态经济学理论、 生态水利研究和区域水资源合理配置理论, 运用系统分析的方法, 结合我国区域生态水 利经济系统研究现状, 在分析区域生态水利经济系统的基本理念的基础上, 探讨了区域生态水利经济系统的组成要 素, 研究了区域生态水利经济系统的发展变化规律。以期为区域经济社会新的发展模式的建立提供理论基础和思 路, 对推动我国自然环境的保护和经济社会的发展起到一定的作用。     

Smart pricing scheme: A multi-layered scoring rule application

Defining appropriate pricing strategy for smart environment is important and complex task at the same time. It holds the primal fraction in Demand Response (DR) program. In our work, we devise an incentive based smart dynamic pricing scheme for consumers facilitating a multi-layered scoring rule. The proposed strategy characterizes both incentive based DR and price based DR programs facilities. This mechanism is applied between consumer agents (CA) to electricity provider agent (EP) and EP to Generation Company (GENCO). Based on the Continuous Ranked Probability Score (CRPS), a hierarchical scoring system is formed among these entities, CA–EP–GENCO. As CA receives the dynamic day-ahead pricing signal from EP, it will schedule the household appliances to lower price period and report the prediction in a form of a probability distribution function to EP. EP, in similar way reports the aggregated demand prediction to GENCO. Finally, GENCO computes the base discount after running a cost-optimization problem. GENCO will reward EP with a fraction of discount based on their prediction accuracy. EP will do the same to CA based on how truthful they were reporting their intentions on device scheduling. The method is tested on real data provided by Ontario Power Company and we show that this scheme is capable to reduce energy consumption and consumers’ payment.