处理钻井事故的专家系统

介绍了所研制的处理钻井事故的专家系统,经过井场事故实例检验表明,正确识别率与正确处理率较高。在现场使用一段时间之后,又进行了修改与完善,增加实时监测功能后,它将成为处理现场事故的有力工具。     

解释学习在机器人过程控制中的应用

机器人过程控制是智能机器人系统的一个特别重要而又十分复杂的研究课题。本文将解释学习应用于机器人过程控制，为之开发了一种新的方法。仿真结果表明，该方法可行、有效。同时，还尝试了将Ｐｒｏｌｏｇ语言作为机器人过程控制的运行机制的形式化表达工具的可能性。     

数据采集与光条图象细化新方法——用于三维计算机视觉系统

介绍了具有位置反馈信息旋转平台的图象数据采集方法,以及对采集到的图象进行智能化快速细化的新方法,使得在一周内的36幅图象做到边采集边细化,而且仅用40s时间。     

基于HLA攻防对抗仿真中三维视景设计与实现

在SGI工作站上用Vega、Creator开发了攻防对抗三维显示节点，利用仿真的HLA标准开发了三维显示节点客户端联邦成员；提出了联邦仿真数据交互外层网络和三维数据交互的内层网络两层结构；利用TCP/IP可靠传输进行内层数据交互；在保证数据传输的精度和正确的前提下，有效的减小网络的通信量；对离散的三维数据进行平滑处理；使用特效渲染场景；采用多线程、多场景、多通道技术再现战场；给出了智能眼点选择的策略，解决了数据存储面临的诸多问题。     

用遗传算法解决一类模糊流水车间调度问题

对同时考虑模糊加工时间和模糊交货期的模糊流水车间调度问题进行了研究 ,模糊加工时间用三角模糊数来表示 ,模糊交货期用梯形模糊数来表示。应用遗传算法搜索最优排序 ,在适应度函数处理中引入模糊数处理方法 ,以平均满意度最大作为优化目标。最后给出了实验结果和结论     

宿舍智能化管理系统的研制

研制开发的宿舍智能化管理系统可以实现对宿舍楼中的人员和财产进行管理,同时还能实现对整个宿舍楼寝室的定时语音提醒和呼叫功能.     

FROM MANUFACTURING SCHEDULING TO SUPPLY CHAIN COORDINATION：THE CONTROL OF COMPLEXITY AND UNCERTAINTY

With time-based competition and rapid technology advancements, effective manufacturingscheduling and supply chain coordination are critical to quickly respond to changing marketconditions. These problems, however, are difficult in view of inherent complexity and variousuncertainties involved. Based on a series of results by the authors, decomposition and coordination byusing Lagrangian relaxation is identified in this paper as an effective way to control complexity anduncertainty.A manufacturing scheduling problem is first formulated within the job shop context withuncertain order arrivals, processing times, due dates, and part priorities as a separable optimizationproblem. A solution methodology that combines Lagrangian relaxation, stochastic dynamicprogramming, and heuristics is developed. Method improvements to effectively solve large problemsare also highlighted. To extend manufacturing scheduling within a factory to coordinate autonomicmembers across chains of suppliers, a decentralized supply chai     

SCHEDULING PROBLEMS - AN OVERVIEW

There seems to be a significant gap between the theoretical and the practical aspects of scheduling problems in the job shop environment. Theoretically, scheduling systems are designed on the basis of an optimum approach to the scheduling model. However in the practice, the optimum that is built into the scheduling applications seems to face some challenges when dealing with the dynamic character of a scheduling system, for instance machine breakdown or change of orders. Scheduling systems have become quite complex in the past few years. Competitive business environments and shorter product life cycles are the imminent challenges being faced by many companies these days. These challenges push companies to anticipate a demand driven supply chain in their business environment. A demand-driven supply chain incorporates the customer view into the supply chain processes. As a consequence of this, scheduling as a core process of the demand-driven supply chain must also reflect the customer view. In addition,     

智能温度传感器在测控领域的应用

从智能传感器的发展现状出发,重点介绍了DS18B20、TMP101的性能和典型应用电路,并就其应用特点进行了比较,分析了智能温度传感器在测控领域的应用前景。     

信用风险优化模型及其智能计算

采用模糊规划的方法,对模糊不确定环境下的信用风险度量和投资优化问题进行了模型的构建与仿真研究。基于具有自对偶性的可信性测度,提出了模糊条件在险价值作为信用风险度量,并构建了带有投资和收益等约束条件限制的信用风险最小化模型。其中,所考虑市场信用资产预期收益的可能性分布,用指数型模糊变量来刻画。最后,对该信用资产优化模型设计了智能算法,并进行了仿真分析。仿真结果表明,优化后的信用风险明显优于原始的信用风险。