绥高#2线线路保护2动作分析

对高岭站2009年6月15日绥高#2线线路保护动作的原因进行深入分析,介绍处理措施。     

A new intelligent prediction system model-the compound pyramid model

A current development trend in research on intelligent systems is to optimize a general intelligent prediction system into an individuation intelligent prediction system that is applied in specialized fields. Protein structure prediction is a challenging international issue. In this paper, we propose a new intelligent prediction system model, designed as a multi-layer compound pyramid model, for predicting secondary protein structure. The model comprises four independent intelligent interfaces and several knowledge discovery methods. The model penetrates throughout the domain knowledge, with the effective attributes chosen by Causal Cellular Automata. Furthermore, a high pure structure database is constructed for training. On the RS126 dataset, the overall state per-residue accuracy, Q3, reached 83.99%, while on the CB513 dataset, Q3 reached 85.58%. Meanwhile, on the CASP8 sequences, the results are superior to those produced by other methods, such as Psipred, Jpred, APSSP2 and BehairPred. These results confirm that our method has a strong generalization ability, and that it provides a model for the construction of other intelligent systems.     

C++程序设计教学中的技能培养

本文阐述了知识与技能的关系,以及C++程序设计教学中知识和技能的双重性要求。以选择语句为例,演示了"先知识后技能"的教学过程。实践证明,这样的教学安排行之有效。     

一种高效的多边形寻路元数据融合方式——边界爬行算法

游戏寻路中采用网格寻路可以极大的提高寻路效率,但是在斜45度2D游戏地图中使用网格寻路,采用传统的网格生成算法需要消耗非常长的时间。原因是使用Weiler-Athenton算法进行多边形融合时,会进行很多层递归与循环,消耗大量的时间。由于Weiler-Athenton算法是一种泛用性很强的多边形融合算法,而斜45度2D游戏地图的障碍物又具有很强的特殊性,由此我们针对45度2d游戏地图数据的特点,设计了一种名为边界爬行的多边形融合算法,把原来需要5-10小时才可以完成的融合操作缩短到了10-20秒。极大地提高了多边形融合的效率。为编辑器的地图寻路实时预览提供了有力的支持。     

ExtJS框架下表格组件的应用与改进

在油田措施效果评价系统开发中,使用了ASP.NET技术并结合ExtJS框架,设计并实现了一个基于B/S模式的Web应用系统,解决开发中的技术问题,着重对ExtJS中的表格组件进行了改进和扩展,实现了同时显示锁定部分表格列与支持多行表头的复杂表格,对系统中常用的几种表格形态及深入应用作了介绍与分析。     

基于知识图谱的互补项目推荐

在缺乏用户交互互补项目方面数据的情况下,将用户对项目的偏好融合到只考虑项目关系的互补项目推荐中,提高推荐模型的性能。提出一种基于知识图谱的互补项目推荐方法,在用户历史交互项目集中推测用户交互的互补项目,基于知识图谱提取用户对互补项目的偏好,利用图像与文本学习项目之间的互补关系,最后基于神经网络实现二者的共同学习。提出的方法在Amazon数据集上与次优的基线方法相比,ACC提升了7%,precision提升了3%,这说明提出的方法性能优异。该算法共同学习用户对项目的偏好与项目之间的互补关系,提升了推荐性能。     

基于ECC-ZKP的农产品供应链可控身份管理与认证模型

基于区块链的农产品供应链中,当参与主体数量规模越来越大时,节点与企业之间的1：1匹配关系将造成节点数量众多,从而造成网络开销大、共识效率低等问题。针对这些问题,引入中间件使得节点与企业之间1：1关系变为1：n的关系,对所涉及到的企业身份管理以及相互之间的认证,提出一种基于ECC-ZKP（elliptic curve cryptosystem-zero—knowledge proof）的可控身份管理与认证模型,实现身份的可控管理和完成可信交易前所需要的身份认证。通过模型分析和仿真实验分析结果表明,该模型能够提供较高的安全性,能够有效进行身份的管理和认证,且节点与企业之间1：n关系相比较于1：1关系减少了网络开销并提高了共识效率。     

CRU高分辨率格点降水资料在海河流域的适用性

利用海河流域及其子流域漳河流域的实测站点资料,采用皮尔逊相关系数、均方根误差、平均绝对误差以及相对偏差作为评价指标,对CRU(climate research unit)数据降水产品的月尺度降水数据在海河与漳河流域的适用性进行评估分析,结果表明：CRU数据在海河子流域漳河流域的适用性好于整个海河流域,各项评价结果均达到预期期望;突变性与周期性规律检验结果与以往基于实测数据分析结果相符;从相关系数角度来看,应用于2个流域的CRU数据在1990年之前整体表现良好,但在1990年后海河流域的相关系数显著下降。综上CRU数据可应用于海河流域与漳河流域的气候变化背景下水文过程模拟与分析,但应用于海河流域实测站点数据的还原时,应充分考虑其年际表现不一的问题。     

Potential applications of three-way multidimensional scaling and related techniques to integrate knowledge from multiple experts

Theknowledge transfer problem in artificial intelligence consists of finding effective ways to elicit information from a human expert and represent it in a form suitable for use by an expert system. One approach to formalizing and guiding this knowledge transfer process for certain types of expert systems is to use psychometric scaling methods to analyze data on how the human expert compares or groups solutions. For example, Butler and Corter [1] obtained judgments of thesubstitutability of solutions from an expert, then analyzed the resulting data via techniques for fitting trees and extended trees [2]. The expert's interpretation of certain aspects of the solutions were directly encoded as production rules, allowing rapid prototyping. In this paper we consider the problem of combining information from multiple experts. We propose the use of three-way or individual differences multidimensional scaling, tree-fitting, and unfolding models to analyze two types of data obtainable from the multiple experts: judgments of the substitutability of pairs of solutions, and judgments of the appropriateness of specific solutions to specific problems. An application is described in which substitutability data were obtained from three experts and analyzed using the SINDSCAL program [3] for three-way multidimensional scaling [4].     

DETECTOR: A knowledge-based system for injection molding diagnostics

A knowledge-based system (KBS) for diagnosis of multiple defects in injection molding is presented. The general scheme for knowledge representation based on fuzzy set theory has been shown useful in representing inexact and incomplete information for developing the KBS. An optimality criterion is created for selecting a simple and best cover to explain the given problem. An efficient search algorithm for finding such cover is also discussed.