Design optimization using ANOVA

This paper describes the design optimization of a robot sensor used for locating 3-D objects employing the Taguchi method in a computer simulation scenario. The location information from the sensor is to be utilized to control the movements of an industrial robot in a 'pick-and-place' or assembly operation. The Taguchi method, which is based on the Analysis-of-Variance (ANOVA) approach, is utilized to improve the performance of the sensor over a wider operating range. A review of the Taguchi method is presented along with step-by-step implementation details to identify and optimize the design parameters of the sensor. The method allows us to gauge the impact of various interactions present in the sensor system exclusively and permits us to single out those factors that have a dominant influence on the overall performance of the sensor. The investigation suggests that the Taguchi method is a more structured and efficient approach for achieving a robust design compared with the classical full factorial design approach.     

A continuous sampling plan using CUSUMs

A Continuous Sampling Plan, CSP-CUSUM, is proposed based on the use of Cumulative Sums (CUSUMs) for deciding when to switch between the phases of sampling inspection and 100% inspection. The Geometric CUSUM, also termed the Run-length CUSUM, is chosen for this purpose, and two separate CUSUMs are to be operated, one for each inspection phase. The conventional measures of performance for CSPs such as average outgoing quality, average fraction inspected, and average proportion passed under sampling inspection are evaluated for CSP-CUSUM, and comparisons with some standard CSPs are presented. An additional performance-measure, Average Cycle Length, is proposed. A table is provided to aid the choice of parameters for the operation of CSP-CUSUM. It is recommended that a Geometric CUSUM control chart be maintained in parallel with CSP-CUSUM to detect significant upward shifts in the incoming fraction defective.     

深化对社会主义本质和特征的认识

社会主义本质不论从历史的角度 ,还是从实践的角度考察都是“解放生产力 ,发展生产力 ,消灭剥削 ,消除两极分化 ,最终达到共同富裕”;社会主义特征只是社会主义的特征中的制度特征 ,它决定和体现了社会主义的性质。全面、完整认识社会主义 ,为社会主义建设指明了方向     

江西劳动就业问题研究

江西劳动就业面临的主要问题是劳动力供需矛盾尖锐、劳动力素质偏低。这些问题严重制约着江西经济的健康发展。必须从增加劳动力需求和控制劳动力的供给着手 ,双管齐下 ;同时 ,要把提高劳动力素质贯穿到整个劳动力供需矛盾的解决中去     

论我国技术创新面临的体制障碍及其解决思路

在我国经济发展进程中，技术创新严重受制于体制滞后所造成的体制障碍。现有 体制不仅阻碍了创新主体的培育、造成了技术创新的资金瓶颈、影响了创新成果的价值实现 、制约了基础研究对技术创新的有效供给，还缺乏对技术创新人才的激励。为促进技术创新 ，就必须消除体制障碍，进行体制创新。体制上的创新至少应包括：国有企业体制创新、投 融资体制创新、技术市场体制创新，科教管理体制创新、以及分配体制创新。     

认同 反抗 超越——《秀拉》中黑人女性寻找自我的历程

非裔美国女作家托妮·莫里森在小说《秀拉》中描写了三位探寻自我的黑人女性形象夏娃、秀拉和奈尔 ,揭示了黑人女性寻找自我的历程 :从认同男性主体意识到反抗男权社会再到超越女性传统命运     

论创新思维的基础

创新是人类的本质特征 ,在人类创新的实践中 ,创新思维具有基础性和先导性的作用 ,是理论创新、科技创新、体制创新的基础和前提。创新思维是唯物辩证法的基本原理与规律在思维过程中的具体运用和体现 ,是多种思维要素相互协调作用的结果 ,它有着坚实的物质基础、心理基础和方法论基础     

Still-births among the offspring of male radiation workers at the Sellafield nuclear reprocessing plant: detailed results and statistical aspects

Summary. This study investigates whether there was evidence of increasing risk of still-birth with increasing paternal exposure to ionizing radiation received during employment at the Sellafield nuclear installation before the child was conceived. A significant positive association is found between the total paternal preconceptional exposure to external ionizing radiation and the risk of still-birth (after adjustment for year of birth, social class, birth order and paternal age, odds ratio at 100 mSv 1.24 (95% confidence interval 1.04–1.45)). A summary of the principal scientific findings of this study has been published in the Lancet . This paper describes in detail the statistical methods that were used in the investigation and presents the results in full.     

Measuring agreement between two statistics with applications to age standardization

Summary.  We detail a general method for measuring agreement between two statistics. An application is two ratios of directly standardized rates which differ only by the choice of the standard. If the statistics have a high value for the coefficient of agreement then the expected squared difference between the statistics is small relative to the variance of the average of the two statistics, and inferences vary little by changing statistics. The estimation of a coefficient of agreement between two statistics is not straightforward because there is only one pair of observed values, each statistic calculated from the data. We introduce estimators of the coefficient of agreement for two statistics and discuss their use, especially as applied to functions of standardized rates.