基于图像识别的铜转炉吹炼造渣期渣含Fe预测模型研究

铜转炉吹炼是火法炼铜的关键工序,其终点判断与炉寿、铜产率和直收率紧密相关,目前现有人工经验、仪器测定和物料平衡法等终点判断方法均存在一定的局限性。理论上铜转炉吹炼造渣期终点与渣含Fe是否达标有关,而不同Fe含量渣样呈现不同的图像特征,鉴于此,基于图形识别的特征向量提取原理,分别采用卷积神经网络(CNN)算法与支持向量机(SVM)算法,构建了铜转炉吹炼造渣期渣含Fe预测模型,为图像识别技术在铜转炉吹炼终点判断中的应用奠定数模基础。两种模型的实例分析表明,卷积神经网络的训练集预测准确率98%,测试集预测准确率约50%;支持向量机模型的训练集预测准确率99%,测试集预测准确率62%。     

水厂生产运行管理决策支持系统的开发

介绍了水厂生产管理决策支持系统的设计原理和方法，其中主要讲述了数据库和知识库的建立，并阐述了该系统的运行功能、管理和维护方法。     

Catalytic dehydrogenative coupling of methane on active carbon. Effect of metal supported on active carbon

Ethane, ethene, ethyne and hydrogen are obtained in good yields via dehydrogenative coupling of methane in the presence of active carbon as a catalyst. The product yield is increased by supporting metal on active carbon.     

抗水合氧化铝载体研究进展

氧化铝系载体用于含水或有水生成的催化过程时，均会发生再水合现象，从而造成催化剂强度的下降，并导致其比表面积大幅下降，使催化剂不可逆失活。镁铝尖晶石的抗水合性远高于氧化铝系载体，是一种很好的催化剂载体。综述了氧化铝系载体的再水合现象、改进载体抗水合性能的方法以及镁铝尖晶石粉体和载体的制备方法及改进措施。     

水环境实时调控决策支持系统的开发与应用

以建立水环境实时调控决策支持系统为目标,集成综合数据监测体系、数据库、流域入河污染物负荷模型、河流水环境模型、水环境承载能力与污染负荷动态调控模型、GIS平台等众多模块,提出了系统组成的总体框架,分析了多种数学模型间的集成链接方法、GIS显示体系与数学模型间的交互方法、水环境状态实时模拟与基于调控措施的方案模拟等系统集成的关键环节,提出了水环境实时调控与数字化管理功能在复杂大系统中的实现思路与方法,为复杂水环境调控系统的开发与集成提供了简单实用的集成模式。系统在北运河水系水环境管理中的应用结果表明:该系统方法实现了北运河的实时调控模拟,提高了区域水环境管理的智能化水平。研究成果对水环境实时调控与决策系统的建立及精细化管理具有重要的参考价值。     

引汉济渭工程运行调度模式研究

从引汉济渭工程运行调度的实际需求出发,设计了工程运行调度新模式并集成实现。基于Hadoop搭建工程运行调度大数据服务平台,基于数字地球构建了工程运行调度可视化仿真系统,基于云服务架构建立工程运行调度应用支撑平台,以主题、组件、知识图为牵引建立了工程运行调度应用支撑库,基于数字地球和应用支撑平台构建了工程调配水一体化数字水网,基于平台、数字水网、组件、知识图搭建了工程运行调度主题业务应用,实现了运行调度业务主题化云服务。该模式技术理念先进,应用灵活方便,适用性强,可为工程运行调度提供重要技术支撑,具有良好的应用前景。     

Decision support and intelligent systems in the textile and apparel supply chain: An academic review of research articles

This article provides a comprehensive review of research articles related to the application of decision support and intelligent systems in the textile and apparel supply chains. Data were obtained from 77 articles published from 1994 to 2009 in 35 journals. The articles were categorized according to their applicability into three basic sectors – textile production, apparel manufacture, and distribution/sales. They were further categorized into 16 subsectors based on their operational and management/control processes. A comprehensive list of categorized journal articles identified in this study provides insights and relevant references for both researchers and practitioners on the application of decision support and intelligent systems to various stages of a textile and apparel supply chain. In light of the developed classification framework, we identify gaps in extending the use of the decision support and artificial intelligent systems in the industry and suggest potential and applicable research areas for further consideration in this subject area.     

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.     

论西方国家对中小企业的扶持及给我们的启示

主要以中小企业对西方国家的作用和我国中小企业的现状作为切入点，探讨西方国家对中小企业扶持的一些经验和做法，提出我国振兴中小企业的政策和措施。     

岩体结构面对大跨度隧道工程稳定性影响初步研究

基于对沈阳至大连（简称沈大）高速公路扩建工程韩家岭隧道区域调查和分析，研究了岩体结构面对隧道施工过程的影响，围岩失稳方式及可能遇到的问题，并提出了解决这些问题的措施。