稀土萃取分离过程综合自动化系统

针对我国稀土工业生产过程自动化装备水平普遍较低而造成的生产成本高、产品质量一致性差、资源消耗大的问题,提出了实现稀土产品纯度、金属回收率和产品产量等综合生产指标优化的稀土萃取分离生产过程综合自动化系统,讨论了由生产过程管理系统和过程控制系统两层结构组成的综合自动化系统的体系结构、功能和以萃取分离过程两端出口产品组分指标为目标的优化控制策略。将所提出的系统应用于某公司HAB萃取提钇生产过程,实现了稀土萃取过程的优化控制、优化运行和优化管理,取得了显著的应用成效。     

An Architectural Modelfor Intelligent Network Management

1 IntroductionThe explosion in size and complexity of today's computer network means that NetworkManagement (NM) is a critical factor. The ever growing demand for distributed applicationscoupled with increasing corporate globalization often leads to users requiring constant network availability as the network becomes the primary strategic resource. The currellt NMbecomes increasingly inadequate, since the networks to be managed are heterogeneous anddynamic, and manapemellt functions, such as…     

智能装备故障预测与健康管理系统研究

针对智能装备预测性维护存在的智能化和网络化程度不高、物理模型建模困难等 问题,研究了数据驱动的智能装备远程故障预测与健康管理系统(PHM)的实施框架、关键技术 和系统开发方法。具体阐述了数据驱动 PHM 系统的运行模式,在此基础上分析了 PHM 系统的 软件架构和关键技术,首先利用 EEMD 对原始信号进行降噪和重构,将重构后的信号作为输入 建立基于 RBF 神经网络的故障诊断模型;然后采用动态神经网络建立基于时间序列的故障预测 模型,并建立基于故障阈值的故障报警机制;最后利用混合编程和网络化开发技术开发了数据 驱动的远程 PHM 系统。实际应用结果表明,该系统能以较高效率完成故障诊断、故障预测等 核心功能,具有良好的实用性。     

基于多源知识图谱融合的智能导诊算法

患者网上挂号时常有挂错科室的现象,因此需要科室推荐应用,功能类似线下医院的护士台预诊.然而,由于医院科室设置不尽相同,患者各项特征和科室之间的关系也不明确,给自动科室推荐带来挑战.因此,该文首先定义了带权重的知识图谱,用于描述症状、疾病以及性别等特征与科室和医院之间复杂的量化关系.其次,利用区域信息平台的电子健康档案(...     

Generalized ordering-search for learning directed probabilistic logical models

Recently, there has been an increasing interest in directed probabilistic logical models and a variety of formalisms for describing such models has been proposed. Although many authors provide high-level arguments to show that in principle models in their formalism can be learned from data, most of the proposed learning algorithms have not yet been studied in detail. We introduce an algorithm, generalized ordering-search, to learn both structure and conditional probability distributions (CPDs) of directed probabilistic logical models. The algorithm is based on the ordering-search algorithm for Bayesian networks. We use relational probability trees as a representation for the CPDs. We present experiments on a genetics domain, blocks world domains and the Cora dataset. Editors: Stephen Muggleton, Ramon Otero, Simon Colton.     

基于Web的谈判支持系统的研究与开发

论述了谈判支持系统的有关理论、应用现状以及存在问题，并通过对一个基于Web的谈判支持系统的分析提出了一种解决问题的新思路。     

基于程序设计主观题智能阅卷算法的应用研究

在程序设计语言考试中，程序设计主观题智能评阅是一项具有实用价值的应用。文中在分析主观题阅卷算法的基础上，针对程序设计主观题的特征，提出了基于阅卷参考点和程序理解相结合的智能阅卷算法，并进行了相关实例分析。设计了VC＋＋程序设计题智能阅卷系统，通过实际教学使用表明该智能阅卷算法具有较好的正确性和客观性。     

基于雷达观测数据的高炉料面多模型控制

炉料在高炉内部的布局直接影响着高炉的运行,好的布料策略能极大地提高生产力,并带来巨大的经济效益.本文利用模糊c均值聚类算法对大量雷达扫描得到的料面数据进行分类,建立多模型料面模型集;设定期望料面,并根据料面模型集中的多种料面,设计多种布料控制策略,求出相应的布料矩阵.每一个布料周期,采用模糊识别的方法把获得的实时料面数据与模型集相匹配,进而采取相应的布料矩阵进行布料,直至达到期望料面.由于雷达扫描数据的存在,形成了反馈机制,使得高炉布料能够实现闭环控制.本控制策略在某钢铁厂2500m3高炉上得到实施,取得很好的控制效果,达到节能降耗的要求.     

A novel intelligent verification platform based on a structured analysis model

An intelligent verification platform based on a structured analysis model is presented.Using an abstract model mechanism with specific signal interfaces for user callback,the unified structured analysis data,shared by the electronic system level design,functional verification,and performance evaluation,enables efficient management review,auto-generation of code,and modeling in the transaction level.We introduce the class tree,flow parameter diagram,structured flow chart,and event-driven finite state machine as structured analysis models.As a sand table to carry maps from different perspectives and levels via an engine,this highly reusable platform provides the mapping topology to search for unintended consequences and the graph theory for comprehensive coverage and smart test cases.Experimental results show that the engine generates efficient test sequences,with a sharp increase in coverage for the same vector count compared with a random test.     

基于C8051f040的CAN总线智能节点设计

CAN总线具有配置灵活、应用范围广的特点，C8051f040单片机功能强大，集成了CAN总线控制器。本文提出了一种基于C8051f040的CAN总线系统智能节点的设计方案，给出了相应的硬件和软件设计，实际运行结果验证了设计的正确性，其通用性好、可靠性高，具有广泛的应用前景。