A mathematical model for open pit mine production scheduling with Grade Engineering® and stockpiling

This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework. Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable (i.e. high-grade) and undesirable (i.e. low-grade or uneconomic) materials and ensure the delivery of only selected quantity of high quality (or high-grade) material to energy, water, and cost-intensive processing plant. The model maximizes the net present value under a range of operational and processing constraints. Given that the proposed model is computationally complex, the authors employ a data pre-processing procedure and then evaluate the performance of the model at several practical instances using computation time, optimality gap, and the net present value as valid measures. In addition, a comparison of the proposed and traditional (without Grade Engineering) models reflects that the proposed model outperforms the traditional formulation.     

用C51系列单片机设计物体分级设备的测量光幕

首先介绍了光幕测量高度的原理 ,给出了高度测量光幕的一种实现方法 ,分析了由该方法设计的系统结构和主要性能。从而彻底解决了相邻通路间的干扰 ,提高了测量精度。     

Prediction and quality control of the melt index during production of high-density polyethylene

In polyolefin processes the melt index (MI) is the most important control variable indicating product quality. Because of the difficulty in the on-line measurement of MI, a lot of MI estimation and correlation methods have been proposed. In this work a new dynamic MI estimation scheme is developed based on system identification techniques. The empirical MI estimation equation proposed in the present study is derived from the 1 ^st -order dynamic models. Effectiveness of the present estimation scheme was illustrated by numerical simulations based on plant operation data including grade change operations in high density polyethylene (HDPE) processes. From the comparisons with other estimation methods it was found that the proposed estimation scheme showed better performance in MI predictions. The virtual sensor model developed based on the estimation scheme was combined with the virtual on-line analyzer (VOA) to give a quality control system to be implemented in the actual HDPE plant. From the application of the present control system, significant reduction of transition time and the amount of off-spec during grade changes was achieved     

A Cross-Cultural Investigation of the Efficacy Beliefs of South Asian Immigrant and Anglo Canadian Nonimmigrant Early Adolescents.

The author explored the mathematics efficacy beliefs of 270 South Asian (Indo Canadian) immigrant and Anglo Canadian nonimmigrant Grade 7 students. Self-efficacy beliefs strongly predicted mathematics performance for both cultural groups, but there were differences between the 2 groups in the sources of self-efficacy, the predictiveness of the secondary motivation variables, and the vertical dimensions of individualism and collectivism. It is argued that the Indo Canadian students are more vertical or hierarchical than the Anglo Canadian students and that comparison with others strongly influences their motivation beliefs and the formation of their efficacy beliefs. Self-efficacy in some cultures may be more other-oriented than is typically seen in Western cultures. A caution against generalizing about Asian populations is given, and implications for school settings are explored. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

高水位地基处理实例

介绍高水位(距槽底300)条件下,地基处理的方法、检测及效果验证。为在此条件下进行施工作业提供依据。     

我国不锈钢的基本情况以及与国外的差距

阐述了我国不锈钢品种、质量、产量和工业装备等方面的基本情况，并分析了与先进工业国家间的差距，对加快我国不锈钢发展提出了建议。     

大浓度范围内PV型旋风分离器粒级效率的计算方法

探讨了旋风分离器入口含尘浓度对其分离性能及粒级效率的影响机理。对旋风分离器内部气固两相运动进行了相似分析,得到了包括入口含尘浓度在内的一系列影响分离性能的相似准数。通过相似试验及试验数据的多元回归分析,建立了各相似准数与粒级效率的关系,得出了能精确估计大浓度范围内PV型旋风分离器粒级效率的计算公式。     

Model algorithmic control of grade change operations in paper mills

In this work, the Model Algorithmic Control (MAC) method is applied to control the grade change operations in paper mills. The neural network model for the grade change operations is identified first and the impulse model is extracted from the neural network model. Results of simulations for MAC control of grade change operations are compared with plant operation data. The major contribution of the present work is the application of MAC in the industrial plants based on the identification of neural network models. We can confirm that the proposed MAC method exhibits faster responses and less oscillatory behavior compared to the plant operation data in the grade change operations.     

薄板坯连铸结晶器技术及钢种开发的几个问题分析(续)

薄板坯连铸结晶器是薄板坯连铸技术的核心，通过对薄板坯连铸结晶器内钢水的流动、传热以及凝固壳的收缩和变形行为的研究，分析了连铸坯几种典型裂纹缺陷的形成原因；并结合实验室和生产实践，对薄板坯连铸连轧生产冷轧基料用B微合金化钢、电工钢、V-N微合金高强度钢等的工艺特性以及钢材性能进行了分析。文章分二次发表，本次是上海金属2006—1期文章的续栽，内容是关于薄板坯连铸连轧典型品种的开发以及薄板坯连铸连轧技术的发展与展望。     

一种结合共同邻居和用户评分信息的相似度算法

随着互联网的发展,推荐系统逐步得到广泛应用,协同过滤(CF)是其中运用得最早.最成功的技术之一.CF首先根据用户间的相似度,找出每个用户的近邻;然后根据目标用户近邻的评分预测目标用户的评分;最后把预测评分较高的项目推荐给目标用户.因此相似度计算方法直接关系到预测结果的准确性,对推荐起着至关重要的作用.目前,学者们已从不同的角度提出了各种各样的相似度计算方法,其中共同邻居算法(common-neighbors)是一种简单有效的方法.但此法仅考虑了两用户间的共同邻居数,忽略了用户的具体评分信息.针对这个问题对共同邻居算法进行了改进,同时考虑了共同邻居数和用户的评分信息.实验结果表明,改进的共同邻居算法在一定程度上可提高评分预测的准确性.