在不断创新中开创新的百年——水口山有色金属集团有限公司110年创新发展历程和展望

回顾了水口山有色金属集团有限公司的发展历程，概述了取得的技术进步和主要成就．提出了企业今后的发展方向。     

An automated coding and classification system with supporting database for effective design of manufacturing systems

The philosophy of group technology (GT) is an important concept in the design of flexible manufacturing systems and manufacturing cells. Group technology is a manufacturing philosophy that identifies similar parts and groups them into families. Beside assigning unique codes to these parts, group technology developers intend to take advantage of part similarities during design and manufacturing processes. GT is not the answer to all manufacturing problems, but it is a good management technique with which to standardize efforts and eliminate duplication. Group technology classifies parts by assigning them to different families based on their similarities in: (1) design attributes (physical shape and size), and/or (2) manufacturing attributes (processing sequence). The manufacturing industry today is process focused; departments and sub units are no longer independent but are interdependent. If the product development process is to be optimized, engineering and manufacturing cannot remain independent any more: they must be coordinated. Each sub-system is a critical component within an integrated manufacturing framework. The coding and classification system is the basis of CAPP and the functioning and reliability of CAPP depends on the robustness of the coding system. The proposed coding system is considered superior to the previously proposed coding systems, in that it has the capability to migrate into multiple manufacturing environments. This article presents the design of a coding and classification system and the supporting database for manufacturing processes based on both design and manufacturing attributes of parts. An interface with the spreadsheet will calculate the machine operation costs for various processes. This menu-driven interactive package is implemented using dBASE-IV. Part Family formation is achieved using a KAMCELL package developed in TURBO Pascal.     

内蒙红花沟金矿有关岩石中金等微量元素的丰度及其意义

本文首次系统地研究了内蒙红花沟金矿变质岩、花岗岩、石英斑岩和多种脉岩的Au、Ag等13种微量元素的丰度,并对其在矿源层研究和化探找矿工作中的意义进行了探讨。红花沟金矿各主要岩类的金丰度均在3.18～4.2ppb之间,斜长角闪岩的金丰度为4.2ppb,是金的矿源层。     

关于电视群信号对光纤副载波调频传输中的信噪比平衡问题的分析

本文对微波副载波用电视群信号调频的光纤传输中的信噪比平衡问题进行了分析,推导出VSB-AM信号在解调后的信噪比表达式,引入了信噪比恶化系数的概念.为了实现多路VSB-AM信号间的信噪比的平衡,相应的微波副载波频偏应有确定的比例关系.     

基于Lotus Notes软件平台创建江铜办公自动化系统

本文介绍利用LotusNotes软件平台的电子邮件、复合文档数据库、工作流和完全的Client/Server技术 ,建立一个以开放、先进的Intranet/web及消息传递和工作流管理技术为核心的新一代全方位网络办公自动化系统。     

深大露天矿综合开采工艺主要设计参数的研究

深大露天矿的间断向半连续开采工艺过渡时，合理深度及半连续开采工艺的移设步距是两个重要的开采参数，对矿山的经济效果影响巨大，本文首次提出采用组合台阶单位体的开采来分析确定这两个重要的参数，得到的结论在霍林河煤矿的应用中取得了满意的结果，对其它类似矿山具有应用价值。     

宣汉——达县地区飞仙关组储层预测方法研究

在宣汉-达县地区,以往仅依据地震属性来预测飞仙关组储层分布,钻探结果与实际情况不符,为此本文提出量化分析预测结合主参数分析的新方法和新思路。在量化分析中首先对飞仙关组储层进行高分辨率反演,获得储能系数图;然后结合主振幅剖面和主频率剖面分析,对储层进行预测。在研究区,本方法的预测结果与实钻情况相吻合。     

Composite group vector space method for estimating melting and boiling point of pure organic compound

Composition Group Vector Space (CGVS) method for estimating melting and boiling point T _m , T _b of organic compound has been proposed, and the principle of this method has been elucidated. The models for estimating T _m , T _b have been established and the numerical values of relative parameters have been presented. The average percentage deviations of T _m , T _b estimation are 7.53 and 1.58, respectively, which show that the present method demonstrates significant improvement in applicability to predict the above properties, compared to conventional group methods.     

坚持科技创新 打造强势企业

介绍了株洲硬质合金集团有限公司推进科技创新的具体做法,取得的主要成绩,以及今后的努力方向。     

Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment

We study the group decision making problem under intuitionistic fuzzy environment. Based on entropy and cross entropy, we give two methods to determine the optimal weights of attributes, and develop two pairs of entropy and cross entropy measures for intuitionistic fuzzy values. Then, we discuss the properties of these measures and the relations between them and the existing ones. Furthermore, we introduce three new aggregation operators, which treat the membership and non-membership information fairly, to aggregate intuitionistic fuzzy information. Finally, several practical examples are presented to illustrate the developed methods.