基于改进遗传算法的单元机组非线性模型参数辨识

针对火电厂单元机组的特点及遗传算法工具箱在辨识多变量、非线性系统参数中存在的早熟、收敛速度慢等问题,对遗传算法工具箱进行了改进,以单元机组非线性动态模型为研究对象,提出了基于改进遗传算法工具箱的参数辨识方法．根据托电600MW机组的阶跃扰动试验数据,辨识得到了单元机组非线性动态模型的参数．结果表明改进遗传算法工具箱对单元机组非线性模型参数辨识具有良好的适应性,辨识得到的模型是有效可靠的．     

实现化、实例化和个性化——系统功能语言学的三种层次关系

系统功能语言学已走过50多年的历程。50多年里,首先研究的主要是语言系统层次的实现化关系,后来研究与之互补的实例化关系。语言系统中包括音系字系系统、词汇语法系统和语篇语义系统。这三个系统层次是实现关系,语篇语义由词汇语法实现,词汇语法由音系字系实现。每个系统都受语域和语类的影响,从而产生不同的文本类型,文本就是语域和语类的实例化结果。但实现化和实例化对个体文本中意识形态和互文性的解读缺乏说服力,急需建构与它们互补的其他层次关系。本文是在介绍实现化和实例化的基础上推出个性化层次关系,从而丰富系统功能语言学对大语篇研究的理论框架。除了介绍三种层次关系外,还通过实例分析来验证三种互补层次关系的可用性。     

故障诊断专家系统应用研究

提出了直流斩波电路故障诊断专家系统的理论根据及设计方法。知识库设计为多元故障树，诊断数据来源于对被诊断对象的测试与知识推理，依据特征向量实现故障定位。采用功能级故障诊断模型比依据网络理论建立的数学模型更为简便。     

高速公路网交通信息基础数据元语义建模

针对国家标准《交通信息基础数据元》（JT/T 697）中存在的数据元语义缺失问题，以高速公路网静态设施相关数据元为例，通过交通信息基础数据元的蕴涵语义及其特征，按照搭建语义描述框架、提取数据元语义、数据元语义注解的步骤，对高速公路网交通信息基础数据元进行了语义建模，从而实现了对现有数据元标准的语义化扩展。通过实例应用表明，引入语义的数据元可以很好地表达复杂交通信息，在我国交通运输行业的信息化建设中具有很好的应用价值。     

高速铁路路基质量检测指标K30、Ev2、Evd的相关性分析

高速铁路施工中同时采用了K30、Ev2、Evd3项力学指标对路基压实质量进行检测,该3项指标的检测内容与检测原理接近.为了减少检测工作量、提高检测效率,本文在简要分析3项指标各自测试原理的基础上,利用大量实测数据,对3项指标进行了相关性分析.分析结果表明,3项指标具有较好的相关性,且用回归分析结果反算的数值与规范给出的标准相近,说明该3项指标具有较好的相互替代性.依据分析结果,认为用Ev2替代K30,或用Evd替代Ev2和K30都是可行的.     

硬路面碎块抛物运动模型

事故现场固体抛落物及其分布场隐含着揭示交通事故状态的重要信息。基于抛物运动的各种运动成分描述 ,分析了道路交通事故汽车碰撞速度与抛物距离之间的各种关系模型 ,揭示了包括经典抛物方程、弹跳运动和滚动—滑动运动模型的广义抛物运动规律。以汽车大灯玻璃碎片为例 ,给出了校验广义抛物运动方程的参数     

An SNN Ontology Based Environment Monitoring Method for Intelligent Irrigation System

In order to realize high precision of environment parameters detection in irrigation applications, a sensor and sensor network (SSN) ontology based data fusion method is proposed. An SSN sub-ontology for soilstate monitoring is revised, which includes the sensing devices hierarchies and measurement properties selection according to the detection feature interests. As for sensor data processing, a tuning data method by data pool filtering and clustering is adopted, as well as a useful data fusion method for multi-sensor system. The testing results show that both the accuracy and efficiency of the proposed method are higher after related filtering and clustering process, which enables a thorough monitoring for intelligent irrigation systems and can be extended into environment monitoring and control applications.     

基于现场实测数据的隧道掘进机滚刀磨损预测

为了合理预测隧道掘进机（TBM）施工过程中地质条件、掘进参数及刀圈特性等多种因素对盘形滚刀刀圈磨损的影响,对TBM滚刀破岩机理和刀圈磨损机理进行了研究. 基于现场实测数据,如掘进推力、贯入度、磨损量、滚刀半径、滚刀安装半径、刀圈几何尺寸等,根据摩擦学理论,综合考虑各影响因素的相互作用,提出了刀圈综合磨损系数的概念,并建立了滚刀磨损预测模型,同时可对刀盘上各滚刀的有效掘进距离进行预测;将预测模型应用到兰州市水源地建设工程输水隧洞双护盾TBM施工中,同时与其他预测模型对比,验证了综合磨损系数预测模型的有效性. 研究结果表明:刀圈综合磨损系数随滚刀安装半径的增大而减小,随滚刀安装角度的增大而增大;综合磨损系数与其他模型磨损系数变化规律基本一致;基于综合磨损系数预测得到的有效掘进距离与实际掘进距离基本吻合,误差在10%以内,说明基于综合磨损系数建立的TBM滚刀预测模型是可靠的.      

自主船舶的定义及其自主水平的界定

梳理了自主船舶的发展历程, 明确了自主船舶的定义, 规范了自主船舶的中英文表述, 基于船舶自主化演变路径, 分析了船舶自动化、智能化和自主化的关系; 总结了当前国际上6家权威机构提出的自主水平分级标准, 分析了其分级依据的实质与局限性; 以具体的任务情景为对象, 参考《STCW公约》有关海员适任标准中规定的7项职能, 提出了一种基于航海实践的自主水平分级方法, 依据不同的水域条件、操作复杂程度、独立于人的干预程度等因素确定任务情景等级, 并通过标定方程的计算结果确定船舶整体自主水平; 以2艘搭载自主航行技术的测试船舶为例, 对比了不同机构的自主水平分级结果。研究结果表明: 自主水平分级依据的关键在于能否独立于人的干预完成相应的任务或实现相应的功能, 而不是取决于船舶自动化水平或决策地点; 基于航海实践的自主水平分级方法能够更为客观地反映船舶的自主水平, 有效避免了由于单一功能的自主实现导致船舶整体自主水平认定不准确的弊端, 该方法科学、合理。      

基于Click的身份与位置分离映射的实现

随着互联网技术的快速发展，IP地址二义性所带来的弊端越来越明显，严重影响了互联网的可扩展性、移动性及安全性．Click是一种灵活的开发模块化路由器的软件平台，其提供了大量的包处理模块，可根据需要实现多种应用．本文在新网络理论体系的基础上，利用Click路由软件在接入交换路由器上实现了3种网络中身份与位置分离映射的功能，并分析了分离映射模块对接入交换路由器转发时延的影响．实验结果验证了该方法的正确性及可行性，从而为地址分离映射的具体实现提供了一种新的方法．     

CASE STORAGE BASED ON RELATIONAL DATABASE

IntroductionCase- Based Reasoning ( CBR) ,as a relativelynew methodology,has attracted wide concern ofAI researchers since1 980 's.The number of suc-cessful applications of CBR is growing rapidly,especially in the fields of architecture and indus-try,e.g. ARCHI- II[1] for the architecture designof courthouse and MIDAS[2 ] for the conceptualdesign of aircraft.The currently prevailing CBD systems mostlytreat cases as instances of some predeterminedand static case template.Such an appro…     

Graph based signal-behavior-structure mapping for state maintenance of equipment

Equipment has dual nature: physical objects existing in nature, and artificial objects designed by human. The decision on the configuration and structural parameters of equipment is made by engineers based on technical-physical effects which control the behavioral parameters of the equipment. Sensors are mounted on the equipment to monitor the equipment state. Current methods for state monitoring and diagnosis mostly use mathematics and artificial intelligence technology to construct evaluation methods. This paper presents an integrated design and state maintenance method, in which graph and dual graph are used for recording design data and sensor arrangement and for mapping method from signals to substructures and connection pairs. An example of state maintenance of hydro power generating equipment is illustrated.     

基于压缩感知和字典学习的背景差分法

针对当使用背景差分法时,背景存在突变和渐变、图像数据的冗余和伪前景对目标检测的干扰等问题,提出一种基于稀疏表示和字典学习的背景差分法。该方法首先训练视频流得到其数据字典,并根据数据字典学习与稀疏表示理论建立背景模型,可以有效减少数据的冗余。然后根据目标及其邻域的密集度进行目标分割,以排除前景的干扰。最后再根据数据字典的更新算法,有效解决了背景的突变和渐变问题。实验结果表明,该方法具有可行性。     

Efficient Rate Control for Motion JPEG2000 under Constraint Memory

IntroductionRate control is essential to video transmissionthrough heterogeneous lossy networks and time-varying communication channels.In recent years,scalability has gained more attention as a highlydesirable feature of some video coders,such asMPEG-4and Motion JPEG2000.Scalability canprovide not only precise rate control for constantbitrate(CBR)traffic,but also accurate qualitycontrol for variable bitrate(VBR)traffic,whenthe coder adopts different rate control algorithm.The rate contr…     

Semantic-Based Knowledge Categorization and Organization for Product Design Enterprises

Former knowledge engineering research aimed at boosting automatic reasoning.However recent knowledge management research focused on promoting the knowledge sharing and reusing among the people.Because of the different aims between the two directions,former knowledge representation schemata,such as rule based representation,frame from knowledge engineering research does not fit to the current knowledge management scenarios.In this paper,for the purpose of building knowledge management systems for product design enterprises,knowledge items are classified into seven types based on the semantics of their usage.Then their representations are discussed respectively.Based on the above classification,a knowledge representation meta-model and a basic domain ontology reference model for cooperative knowledge management systems are put forward.The reference model is an abstraction that can be reused and extended in knowledge management systems of different enterprises.Finally,the patterns of knowledge acquisition processes in cooperative knowledge management scenarios of product design processes are studied.     

Creation of extension knowledge base system about intelligent detection in dendrobium huoshanense photosynthesis process

Aiming at the limitations of the existing knowledge representations in intelligent detection, a novel extension-based knowledge representation (EKR) is proposed. The definitions, grammar rules, and formal semantics of EKR are presented. A rhombus solving strategy (RSS) based on EKR is discussed in detail, including creation of the problem oriented model, extension operator, the solution formation of contradictions problem and extended inference of matter-element. A knowledge base system based on EKR and RSS is developed, which is applied in intelligent detection in the Dendrobium huoshanense photosynthesis process (DHPP). More reasonable results are obtained than traditional rule-based system. The EKR is feasible in intelligent detection to solve the limitations of traditional knowledge representations.     

基于车联网V2P 的行人碰撞风险辨识研究

为探索基于车联网V2P(Vehicle to Pedestrian)通信技术的行人碰撞风险辨识方法, 首先,在车联网环境下实时获取了目标位置、速度、运动方向等信息,并分析了典型人-车相 对运动场景中交通参与者的行为不确定性,进而提出了人-车碰撞区域随机几何模型;然后, 综合考虑了车联网系统的通信延时、定位误差、人-车相对运动不确定性等多因素的影响,建 立了人-车碰撞事故概率和冲突风险程度模型;最后,通过仿真实验分析了行车速度、通信延 时、定位精度等因素对行人碰撞风险辨识模型效果的影响,以及各因素间的相关性关系.本文 提出的方法对行人安全保护研究具有一定的参考价值,研究结果同时指出了车联网系统通信 延时与定位精度的技术要求.     

粒计算及其应用的研究

粒计算是一种新的计算模式,涉及到如何利用粒来求解问题的方法,其基本问题是两个相关问题的研究：粒的结构和粒的计算.本文介绍了有关粒计算中的研究问题和相关的主要研究工作;使用Rough集理论作为工具,在信息系统S上提出了粒计算的一种模式,给出了粒语言、粒语义和粒运算的形式定义;并探讨了该粒计算模式在数据挖掘中的应用.     

基于AOP的细粒度RBAC模型的设计与实现

针对核心RBAC模型实现B/S企业应用时,没有根据操作特征细化权限控制粒度,缺乏针对细分数据的访问控制问题,提出了一种在操作维度上进行了扩充的细粒度RBAC模型,给出了模型的形式化描述;针对传统企业应用中权限认证逻辑横切业务逻辑的问题,阐述了基于AOP与注解的细粒度RBAC模型实现,模块化了权限认证逻辑,解除了业务逻辑与权限通用服务的耦合,提高了权限管理模块的复用性、可维护性与可扩展性.     

Probabilistic Tracking of Objects with Adaptive Cue Fusion Mechanism

A tracking method based on adaptive multiple cue fusion mechanism was presented,where particle filter is used to integrate color and edge cues.The fusion mechanism assigns different weights to two cues according to their importance,thus improving the robustness and reliability of the tracking algorithm.Moreover,a multi-part color model is also invoked to deal with the confliction among similar objects.The experimental results on two real image sequences show the tracking algorithm with adaptive fusion mechanism performs well in the presence of complex scenarios such as head rotation,scale change and multiple person occlusions.