STD工控机在微波炉烹调控制器性能测试中的应用

本文介绍了 STD 工控机在微波炉烹调控制器性能测试中的应用以及硬件和软件,对其它开关量多点自动检测也具有一定的参考价值。     

Estimating percentiles of uncertain computer code outputs

Summary.  A deterministic computer model is to be used in a situation where there is uncertainty about the values of some or all of the input parameters. This uncertainty induces uncertainty in the output of the model. We consider the problem of estimating a specific percentile of the distribution of this uncertain output. We also suppose that the computer code is computationally expensive, so we can run the model only at a small number of distinct inputs. This means that we must consider our uncertainty about the computer code itself at all untested inputs. We model the output, as a function of its inputs, as a Gaussian process, and after a few initial runs of the code use a simulation approach to choose further suitable design points and to make inferences about the percentile of interest itself. An example is given involving a model that is used in sewer design.     

计算机辅助教学的应用前景及应用原则

计算机辅助教学是现代化教育技术的核心内容 ,有着巨大的生命力和广阔的应用前景。作者在教改实践中对物理教学手段的现代化问题进行了探讨 ,得出了计算机辅助教学优于传统的教学手段的结论 ,同时认识到 ,在制作CAI课件时必须以教学的优化为终极目标 ,并遵循教学适用性原则     

计算科学文化与高等教育的数字化教育理念创新

文章对过程、并行、本体、抽象四个计算科学的基本概念,从教育理念角度加以阐述,论述数字化时代的数字化教育理念与时代所需要的大学生的科学精神.     

机器翻译与计算机辅助翻译研究与探索

机器翻译和计算机辅助翻译在 2 0世纪已经取得了一些成就 ,但国内目前的一些翻译软件的机译质量仍未尽如人意 ,在翻译系统语法库和对于某些词项的词义定义方面还需进一步推敲 ,其中一个有效的方法就是添加或修改某些广义语法模式定义或指令。     

关于文科院校计算机教学中的问题和建议

文科院校的计算机教师大部分毕业于工科院校 ,学生的基础知识与工科院校的学生也有差异 ,对数据的认识模糊、缺乏分析及归纳能力 ,对具体事物进行精细化的过程缺乏感性认识和把握等。文章提出了对学生成绩的考评方式和教学模式进行改革的几点建议     

关于电脑效果图的审美思考

电脑效果图作为交流设计思想的手段 ,受到了广泛的重视和应用。本文通过研究电脑效果图的审美特征及其规律 ,来探寻这一新的画种的审美价值的方法、途径和形式法则 ,以期为创作出更多更好的作品起到积极的指导作用     

CAI中基于Java的动态演示构件的实现

为适应计算机远程教学的需要，制作了计算机网络课程的CAI，并使用了Java语言实现动态演示构件的部分关键技术与技巧。     

对多媒体教学的反思

多媒体教学发展了学生的思维,培养了学生的能力,大大提高了课堂教学效率,与此同时,也出现了不恰当利用带来的负面效应。因此,我们既要充分认识多媒体对教育发挥的巨大作用,又要正确认识它给教育带来的冲击和变革,更要及时地预见和降低负面效应。     

Hadamard matrix methods in identifying differentially expressed genes from microarray experiments

Identifying differentially expressed genes is a basic objective in microarray experiments. Many statistical methods for detecting differentially expressed genes in multiple-slide experiments have been proposed. However, sometimes with limited experimental resources, only a single cDNA array or two Oligonuleotide arrays could be made or only insufficient replicated arrays could be conducted. Many current statistical models cannot be used because of the non-availability of replicated data. Simply using fold changes is also unreliable and inefficient [Chen et al. 1997. Ratio-based decisions and the quantitative analysis of cDNA microarray images. J. Biomed. Optics 2, 364–374; Newton et al. 2001. On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data. J. Comput. Biol. 8, 37–52; Pan et al. 2002. How many replicates of arrays are required to detect gene expression changes in microarray experiments? a mixture model approach. Genome Biol. 3, research0022.1-0022.10]. We propose a new method. If the log-transformed ratios for the expressed genes as well as unexpressed genes have equal variance, we use a Hadamard matrix to construct a t-test from a single array data. Basically, we test whether each doubtful gene has significantly differential expression compared to the unexpressed genes. We form some new random variables corresponding to the rows of a Hadamard matrix using the algebraic sum of gene expressions. A one-sample t-test is constructed and the p-value is calculated for each doubtful gene based on these random variables. By using any method for multiple testing, adjusted p-values could be obtained from original p-values and significance of doubtful genes can be determined. When the variance of expressed genes differs from the variance of unexpressed genes, we construct a z-statistic based on the result from application of Hadamard matrix and find the confidence interval to retain the null hypothesis. Using the interval, we determine differentially expressed genes. This method is also useful for multiple microarrays, especially when sufficient replicated data are not available for a traditional t-test. We apply our methodology to ApoAI data. The results appear to be promising. They not only confirm the early known differentially expressed genes, but also indicate more genes to be differentially expressed.