多雷达数据处理系统中网格同步研究综述

在多雷达数据处理系统中，各种误差是影响目标跟踪和数据融合质量的一个重要因素。而网格同步则是系统中的一个重要环节，是进行数据融合的前提。如果没有网格同步则融合结果不可信。文章介绍了网格同步的定义，分析了目前国内外研究的主要方法。并针对此提出了一些新的想法。     

动态未知环境下一种Hopfield神经网络路径规划方法

针对动态未知环境下移动机器人路径规划问题,采用一种有效的局部连接Hopfiled神经网络(Hopfield Neural Networks,HNN)来表示机器人的工作空间.机器人在HNN所形成的动态数值势场上进行爬山搜索法来形成避碰路径,并且不存在非期望的局部吸引点.HNN权值设计中考虑了路径安全性因素,通过在障碍物附件形成局部虚拟排斥力来形成安全路径.HNN的连接权是非对称的,并且考虑了信号传播时延.分析了HNN的稳定性,所给稳定性条件和时延无关.HNN模型中突出了最大传播激励,从而使得HNN具有更广的稳定性范围并能表示具有更多节点的机器人工作空间.为对该HNN有效仿真求解,结合约束距离变换和HNN的时延性,给出了单处理器上高效的串行模拟方案,规划路径的时间复杂度为O(N)(N是HNN中神经元的数目),使得路径重规划能快速在线进行.仿真和实验表明该方法的有效性.     

基于小波变换的超声电机启动和关断特性的测试与分析

叙述了本研究中心研发的超声电机瞬态测试系统及其测试方法。由于噪声的影响，启动、关断响应曲线常常不太光滑，以往采用平滑技术和数字滤波等处理办法，获得启动和关断响应特性精度较差。本文利用小波变换对原始启动、关断响应数据进行分析，去除噪声，从而较准确地获得了超声电机启动和关断的响应时间。实验结果表明，超声电机确实具有毫秒级的响应时间。     

实事求是开拓创新与时俱进全力以赴把集团公司做实做优做强

作者指出，江西省冶金集团公司几年来快速发展的实践证明，必须从转变观念入手，审时度势，以深入改革推进体制与机制的转换，以技术创新和管理创新的新理念促进企业的运营和发展，才是做实做优做强江西冶金集团公司的必由之路。     

拉拉铜矿矿床工业指标探讨

从地质、技术经济的角度讨论拉拉铜矿合理矿床工业指标。通过分析论证认为调整矿床工业指标有利于满足矿山扩大规模开发的需要,提高矿山开发的经济效益,解决矿山生产过程中的实际问题。     

Conception of the optical sensors based on transient processes in MIS structures

New silicon-based optical sensors with metal–insulator–semiconductor structure (MIS) have been developed in this work. The physical properties of these sensors are described with a simple MIS capacitor model. Two-level voltage bias provides a transient between two quasi-equilibrium inversion modes. This transient is applied for storage and readout of the input optical signal for a quantitative measurement of a weak radiation. Proposed simple readout procedure provides reading the integrated information with a significant amplification. The amplification (or the current transformation coefficient) is determined by the ratio of integration and readout times and in this investigation the amplification exceeds the value of 10³. A simple theoretical model is applied to describe the sensor properties at illumination. Numerical calculation under the experimental conditions confirms a validity of the physical model and arguments used at the discussion of the experimental results.     

Meta-modelling and graph grammars for multi-paradigm modelling in AToM<Superscript>3</Superscript>

This paper presents the combined use of meta-modelling and graph grammars for the generation of visual modelling tools for simulation formalisms. In meta-modelling, formalisms are described at a meta-level. This information is used by a meta-model processor to generate modelling tools for the described formalisms. We combine meta-modelling with graph grammars to extend the model manipulation capabilities of the generated modelling tools: edit, simulate, transform into another formalism, optimize and generate code. We store all (meta-)models as graphs, and thus, express model manipulations as graph grammars.We present the design and implementation of these concepts in AToM³ (A_To_ol for M_ulti-formalism, M_eta-M_odelling). AToM³ supports modelling of complex systems using different formalisms, all meta-modelled in their own right. Models in different formalisms may be transformed into a single common formalism for further processing. These transformations are specified by graph grammars. Mosterman and Vangheluwe [18] introduced the term multi-paradigm modelling to denote the combination of multiple formalisms, multiple abstraction levels, and meta-modelling. As an example of multi-paradigm modelling we present a meta-model for the Object-Oriented Continuous Simulation Language OOCSMP, in which we combine ideas from UML class diagrams (to express the OOCSMP model structure), Causal Block Diagrams (CBDs), and Statecharts (to specify the methods of the OOCSMP classes). A graph grammar is able to generate OOCSMP code, and then a compiler for this language (C-OOL) generates Java applets for the simulation execution.     

Piazza: mediation and integration infrastructure for Semantic Web data

The Semantic Web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. To this point, researchers have defined new languages for specifying meanings for concepts and developed techniques for reasoning about them, using RDF as the data model. To flourish, the Semantic Web needs to provide interoperability—both between sites with different terminologies and with existing data and the applications operating on them. To achieve this, we are faced with two problems. First, most of the world’s data is available not in RDF but in XML; XML and the applications consuming it rely not only on the domain structure of the data, but also on its document structure. Hence, to provide interoperability between such sources, we must map between both their domain structures and their document structures. Second, data management practitioners often prefer to exchange data through local point-to-point data translations, rather than mapping to common mediated schemas or ontologies.This paper describes the Piazza system, which addresses these challenges. Piazza offers a language for mediating between data sources on the Semantic Web, and it maps both the domain structure and document structure. Piazza also enables interoperation of XML data with RDF data that is accompanied by rich OWL ontologies. Mappings in Piazza are provided at a local scale between small sets of nodes, and our query answering algorithm is able to chain sets mappings together to obtain relevant data from across the Piazza network. We also describe an implemented scenario in Piazza and the lessons we learned from it.     

低磷酸盐处理在娘子关发电厂的应用

对娘子关发电厂炉水磷酸盐处理存在的问题进行分析，对降低锅炉水冷壁的腐蚀和结垢提出了建设性意见。     

引进项目的管理及创新

通过高速线材轧机引进项目的管理,技术消化和转化以及企业管理实践,阐述了针对现代化生产企业管理模式的探索和管理创新,实现了项目决策的预期目标.