面向不平衡数据流的自适应加权在线超限学习机算法

一般的在线学习算法对不平衡数据流的分类识别会遇到较大困难,特别是当数据流发生概念漂移时,对其进行分类会变得更困难.文中提出面向不平衡数据流的自适应加权在线超限学习机算法,自动调整实时到达的训练样本的惩罚参数,达到在线学习不平衡数据流的目的.文中算法可以适用于不同偏斜程度的静态数据流的在线学习和发生概念漂移时数据流的在线学习.理论分析和在多个真实数据流上的实验表明文中算法的正确性和有效性.     

Comprehensive numerical study of molecular diffusion effects and Eddy Dissipation Concept model in MILD combustion

Moderate or Intense Low-oxygen Dilution (MILD) combustion is a clean combustion technology with high thermal efficiency and low levels of emissions. In this paper, by employing Adelaide Jet-in-Hot-Co-flow (AJHC), several approaches are examined to increase the numerical solution accuracy. First, molecular diffusion effects are investigated in MILD combustion. Second, adjusting the Eddy Dissipation Concept (EDC) coefficients is comprehensively discussed, and finally, the reaction fraction coefficient and EDC formulation are investigated. The results show that the effect of enthalpy transport caused by molecular diffusion on the energy equation must be considered in the low oxygen concentration regions. Also, the maximum temperature in the MILD region can be kept constant by adjusting EDC coefficients. Furthermore, it is shown that applying the reaction fraction factor increases the accuracy of the numerical solution in the MILD region.     

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams

This work aims to connect two rarely combined research directions, i.e., non-stationary data stream classification and data analysis with skewed class distributions. We propose a novel framework employing stratified bagging for training base classifiers to integrate data preprocessing and dynamic ensemble selection methods for imbalanced data stream classification. The proposed approach has been evaluated based on computer experiments carried out on 135 artificially generated data streams with various imbalance ratios, label noise levels, and types of concept drift as well as on two selected real streams. Four preprocessing techniques and two dynamic selection methods, used on both bagging classifiers and base estimators levels, were considered. Experimentation results showed that, for highly imbalanced data streams, dynamic ensemble selection coupled with data preprocessing could outperform online and chunk-based state-of-art methods.     

城市道路设计构思

城市道路设计，应该从道路平面几何线型、横断面各要素组成，竖向设计、交叉设施、地下管网、城市雕塑、交通标志、环境保护等方面来构思。现代化城市道路必须是交通功能良好、各项市政设施完备，园林化、绿化、美化、香化、艺术化。每条城市道路成为一座街心花园。     

文化·概念·形象——辛亥首义文化区总体规划析要

该文基于对“辛亥首义文化”概念的挖掘,以形象要素分析、空间形态解构为切入点.从功能结构、用地布局、景观环境、旅游组织等方面提出了辛亥首义文化区概念与物质形态一体化的规划构想。     

整合理念在建筑、环境设计的应用——中铁科技大厦设计

介绍了在"整合理念"指导下的武汉中铁科技大厦项目设计实践,指出在当前建筑设计与建筑技术要求的前提下,努力倡导建筑与环境相互融合,探索建筑和环境设计的整合之路。     

新型住区规划理念探索——以常熟市新市区滨江花园规划为例

传统的行列式及围合式的建筑布局模式已不再适应住区的发展及人的行为模式的需求.常熟市新市区滨江花园规划采用自由式住宅布局,形成带状公共空间,利用建筑与太阳方位角、风向夹角的关系改善住区微气候,并结合住区规划结构,形成多功能、人性化的网状交通结构.     

科学发展观和生态优先思想在城市规划中的实践——上海市崇明三岛总体规划简析

崇明三岛的岛域规划蓝图,拟按照生态环境优先的原则,选择和确立一条体现科学发展观的区域发展道路,合理比选主导功能和产业组合,坚持留足自然生态涵养空间、留足未来国际级项目空间,以代际可持续发展的眼光,并在总体规划布局上,预构好推动崇明社会经济和城乡建设有序发展的城镇体系和基础设施布局框架.     

德国新型建筑节能理念与应用

介绍了德国当前的建筑节能理念和实际技术的应用,并针对中国目前情况提出建筑生态节能设计系统的概念及其重要组成部分;建筑整体的能量平衡系统设计;优秀的建筑构造系统设计和正确地选用建筑材料和技术设备系统。     

景观设计的人文要素概念初探

在了解人文概念的基础上，文章确立了景观设计的人文要素概念，以及景观设计概念与文明进程，并对其在景观设计中的地位和意义进行了阐明，进而理顺景观设计的人文要素与其他要素的关系是十分必要的。