证券分析系统在数字有线电视机顶盒中的实现

简要介绍了基于DVB的数据广播和一个实用的证券分析系统在数字有线电视机顶盒中的实现.     

Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras,Brazil

Predicting the direction of stock price changes is an important factor, as it contributes to the development of effective strategies for stock exchange transactions and attracts much interest in incorporating variables historical series into the mathematical models or computer algorithms in order to produce estimations of expected price fluctuations. The purpose of this study is to build a neural model for the financial market, allowing predictions of stocks closing prices future behavior negotiated in BM&FBOVESPA in the short term, using the economic and financial theory, combining technical analysis, fundamental analysis and analysis of time series, to predict price behavior, addressing the percentage of correct predictions of price series direction (POCID or Prediction of Change in Direction). The aim of this work is to understand the information available in the financial market and identify the variables that drive stock prices. The methodology presented may be adapted to other companies and their stock. Petrobras stock PETR4, traded in BM&FBOVESPA, was used as a case study. As part of this effort, configurations with different window sizes were designed, and the best performance was achieved with a window size of 3, which the POCID index of correct direction predictions was 93.62% for the test set and 87.50% for a validation set.     

EOQ Model: The Case in Which the Placing of Orders Is Rewarded

The first models of optimization of inventory management costs have undergone few changes since they were developed at the beginning of the last century. It is only with the passage of time that new scenarios have appeared with the introduction of new systems of production, and consequently of new strategies in the logistics chain. In this article, we analyze and propose a revision of the basic inventory model of economic order quantity first defined by Harris in 1913 for a scenario in which the owner of the stock receives a bonus or reward each time he replenishes his stock. This situation arises when the supplier receives a benefit (which he then shares with the customer) when managing his stock replenishment. An array of nested models is shown to illustrate this scenario, from which the constraints of previous scenarios have been removed. The model provides insights into the negotiation of batch size between supplier and buyer in a win‐win environment in the specific situation in which the supplier gives a bonus to the buyer at each stock replenishment. © 2011 Wiley Periodicals, Inc.     

关联规则在股票预测中的应用研究

使用经典Apriori算法,对股票数据进行一维和二维规则的挖掘。针对股票交易的特殊性,提出了使用换手率代替成交量作为数据预处理的对象,引入了平均支持度作为最小支持度进行股票数据的挖掘。实例验证证实了挖掘结果的正确性、有效性。     

面向小批量生产企业的成本控制方法研究

结合单件或小批量生产制造业的生产管理特点,提出在企业实施信息化的过程中体现以成本控制为主线的全过程成本控制思想,并对成本控制的环节及实施过程进行了详细论述.     

导料板自动定心跳步模设计

分析了插片加工的工艺方案;进行了有效减少废料的排样;介绍了在行程短的压力机上通过导料板张开和合拢以达到导料板自动定心的模具结构。     

On the mechanics of the grinding process – Part I. Stochastic nature of the grinding process

Grinding of metals is a complex material removal operation involving cutting, ploughing, and rubbing depending on the extent of interaction between the abrasive grains and the workmaterial under the conditions of grinding. It is also a stochastic process in that a large number of abrasive grains of unknown geometry, whose geometry varies with time, participate in the process and remove material from the workpiece. Also, the number of grains passing through the grinding zone per unit time is extremely large. To address such a complex problem, it is necessary to analyze the mechanics of the grinding process using probability statistics, which is the subject of this investigation. Such an analysis is applicable to both form and finish grinding (FFG), such as surface grinding and stock removal grinding (SRG), such as cut-off operation. In this investigation, various parameters of the process including the number of abrasive grains in actual contact, the number of actual cutting grains per unit area for a given depth of wheel indentation, the minimum diameter of the contacting and cutting grains, and the volume of the chip removed per unit time were determined analytically and compared with the experimental results reported in the literature. Such an analysis enables the use of actual number of contacting and cutting grains in the grinding wheel for thermal and wheel wear analyses. It can also enable comparison of analytical work with the experimental results and contribute towards a better understanding of the grinding process. The analysis is applied to some typical cases of fine grinding and cut-off operations reported in the literature. It is found that out of a large number of grains on the surface of the wheel passing over the workpiece per second (˜million or more per second), only a very small fraction of the grains merely rub or plough into the workmaterial (3.8% for FFG and 18% for SRG) and even a smaller fraction (0.14% for FFG and 1.8% for SRG) of that participate in actual cutting, thus validating Hahn’s rubbing grain hypothesis.     

基于神经网络的股市预测

本文讨论了有关神经网络用于股市预测方面的问题，包括股市原始数据的预处理、训练样本的确定。提出了适合于描述股市动态特性和时序特性的网络模型及学习算法，并对上海股市作了实际的预测。实验结果表明本文提出的方法是可行的和有效的。     

C语言程序结构设计的新方法——函数软件包的建立

本文着重介绍一种如何建立用户扩展函数库(即用户函数软件包)的方法.使之成为C语言软件设计强有力的手段之一.UNIX操作系统上C语言提供给用户大量的可供选择的UNIX C库函数,这些库函数可以直接调用.但是.系统C库函数往往不能满足一些用户的特殊需求.所以函数软件包的开发具有很高的实用价值.     

玻璃行业上市公司的统计分析

对在沪深证券市场上市的玻璃类上市公司的概况、经营业绩、存在问题等情况进行了统计分析.