我国MIS的开发现状及发展趋势

为适应体制转换和市场经济的要求 ,建立管理信息系统 (MIS)对我国企业极具重要性和紧迫感 ,本文分析了我国MIS的开发现状及存在的问题 ,提出了相应的措施 ,并尝试性地指出管理信息系统的发展趋势是知识信息系统 (KIS) ,并随着知识经济向更高阶段———智能经济的发展进化 ,知识信息系统也将向智能信息系统 (IIS)进化。     

基于智能代理的电子商务信息服务评价研究

随着计算机技术和信息技术的发展开始应用到诸多领域,现在最为热门的是智能代理技术在电子商务信息服务中的应用。本文首先从理论上阐述了智能代理技术的定义、特点、应用结构以及应用领域,归纳了其在电子商务信息服务中的应用层面和应用架构,然后重点对两个应用智能代理技术来提供信息服务的电子商务网站进行详尽的比较分析和研究,最后评价了电子商务信息服务中引入智能代理技术后出现的相关问题,并提出了部分改进意见。     

以热流率作为补偿的智能PID控制

本文以电加热流动热力系统为例，提出了一种以静态模型为基础．以热流率作为补偿的智能ＰＩＤ控制处理动态模型的方法．较好地解决了由于热流率的变化而引起的温度波动，在应用中得到了满意的结果．     

Stimulating effects of intelligent policy on the performance of listed manufacturing companies in China

Based on the pilot projects of intelligent manufacturing of the Ministry of Industry and Information Technology of the People’s Republic of China and the annual data reported by listed companies, this paper studies the effect of China's intelligent policy on the performance of listed manufacturing companies by using the panel data of relevant enterprises from 2011 to 2017, as well as the mechanism of impact. Our empirical tests, using the difference-in-difference method, shows that intelligent policy can significantly improve the economic performance of manufacturing enterprises by guiding enterprises to optimize their intelligent management, strengthening investment in intelligent equipment and promoting collaborative manufacturing. Further empirical tests show that the impact of intelligent policy on economic performance is different in time. In the later selected pilot enterprises, the impact of intelligent policy on their economic performance is more significant; there is regional heterogeneity in the effects of intelligent policy: in regions with low intelligence, the positive impact of intelligent policy on the economic performance of manufacturing industry is more significant. Based on these conclusions, relevant intelligent policy suggestions are put forward.     

Evaluation of Embedded Intelligent Real‐time Systems*

Over the past two decades, questions have surfaced about the effectiveness and contribution of intelligent systems to decision makers in a variety of settings. This paper focuses on the evaluation challenges associated with intelligent real‐time software systems that are embedded in larger host systems. With the proliferation of such systems in operational settings such as aerospace, medical, manufacturing, and transportation systems, increased attention to evaluations of such systems, and to resulting software safety, is warranted. This paper describes one such evaluation and proposes a set of evaluation criteria for embedded intelligent real‐time systems (EIRTS). Implications of the evaluation and the evaluation criteria are discussed.     

Learning by Objectives for Adaptive Shop-Floor Scheduling*

Effective production scheduling requires consideration of the dynamics and unpredictability of the manufacturing environment. An automated learning scheme, utilizing genetic search, is proposed for adaptive control in typical decentralized factory-floor decision making. A high-level knowledge representation for modeling production environments is developed, with facilities for genetic learning within this scheme. A multiagent framework is used, with individual agents being responsible for the dispatch decision making at different workstations. Learning is with respect to stated objectives, and given the diversity of scheduling goals, the efficacy of the designed learning scheme is judged through its response under different objectives. The behavior of the genetic learning scheme is analyzed and simulation studies help compare how learning under different objectives impacts certain aggregate measures of system performance.     

AOD精炼铁合金终点预测模型的建立

智能控制技术在冶金终点检测和终点控制中得到广泛应用,特别是神经网络技术,采用径向基函数神经网络(RBF)构成的神经网络控制方案可以有效地提高系统的精度、自适应性和鲁棒性。选用RBF神经网络建立冶炼终点温度和碳含量的预测模型,可以为后续的控制模型提供有价值的控制信息,通过终点控制模型计算所要补吹的氧气量以及补加的冷却剂量,以达到冶炼终点温度和碳含量的精确命中。仿真分析表明,RBF神经网络应用于冶炼终点温度和碳含量预测模型的建立,具有一定的预测精度。     

智能网联汽车体系结构与关键技术

智能网联汽车（Intelligent connected vehicles,ICV）是无人驾驶技术的核心载体,产业链长,市场巨大,吸引了国内外众多汽车厂商和信息企业都纷纷投向ICV的研发与测试,部分ICV车型已进入量产阶段,新的概念车型也陆续提出。针对新型ICV的发展现状与关键技术,从ICV智能化和网联化两个维度对ICV中涉及到的相关技术进行分析,进一步从信息处理的感知层、决策层、控制层3个层次构建了ICV发展过程中的关键技术体系结构。研究表明,车辆环境感知和通信技术技术涵盖自车状态和外部环境,短程通信技术（DSRC）、机器视觉和激光雷达技术是实现车辆环境信息采集功能完善的关键;车路协同系统涉及车—车通信、车—路通信、车—云通信,协同智能交通系统、云平台和大数据技术是车路协同技术的关键;驾驶辅助技术包括自适应巡航控制系统、车道偏离/避免系统、碰撞预警/避免系统等8个构成,这是辅助驾驶、部分自动驾驶和有条件的自动驾驶3个智能化阶段中的关键;具有自主学习、自我决策的人工智能技术和信息安全技术也是智能网联汽车的关键技术,在此基础上,还应该实现多种技术间的相互支撑与融合,克服关键技术协同障碍,才能实现ICV的市场推广与普及应用。     

智能模块化站用电系统设备的研制

介绍了目前站用电系统设备的现状、发展方向及存在问题,并重点介绍适应电网发展新要求的智能模块化站用电系统新设备的基本性能和设计,制造采用的是新技术、新工艺。     

润滑油脂中抗氧化添加剂作用机理

本文针对润滑油及润滑脂中主要添加剂──抗氧化添加剂的作用机理，从化学反应角度进行理论探讨，并进行了实例分析．