基于单片机的电池容量检测与智能充电系统

介绍了基于STC12C5A60S2单片机对充电电池容量检测与智能充电的实现,通过比较精确的检测充电电池的电池容量,电压,能量和电池等效内阻来判断电池的实时状况,从而判断充电电池的质量,可用在各种移动设备动力检测,电车电池检测等常用当中.有助于设备的安全使用、节约能源,由于方案的廉价性并具有一定的市场价值.     

On stochastic processes for quantitative trait locus mapping under selective genotyping

We consider the likelihood ratio test (LRT) process related to the test of the absence of QTL (a QTL denotes a quantitative trait locus, i.e. a gene with quantitative effect on a trait) on the interval [0, T] representing a chromosome. The originality of this study is that we are under selective genotyping: only the individuals with extreme phenotypes are genotyped. We give the asymptotic distribution of this LRT process under the null hypothesis that there is no QTL on [0, T] and under local alternatives with a QTL at t^☆ on [0, T]. We show that the LRT process is asymptotically the square of a ‘non-linear interpolated and normalized Gaussian process’. We have an easy formula in order to compute the supremum of the square of this interpolated process. We prove that we have to genotype symmetrically and that the threshold is exactly the same as in the situation where all the individuals are genotyped.     

Bayesian scale space analysis of temporal changes in satellite images

We consider the detection of land cover changes using pairs of Landsat ETM+ satellite images. The images consist of eight spectral bands and to simplify the multidimensional change detection task, the image pair is first transformed to a one-dimensional image. When the transformation is non-linear, the true change in the images may be masked by complex noise. For example, when changes in the Normalized Difference Vegetation Index is considered, the variance of noise may not be constant over the image and methods based on image thresholding can be ineffective. To facilitate detection of change in such situations, we propose an approach that uses Bayesian statistical modeling and simulation-based inference. In order to detect both large and small scale changes, our method uses a scale space approach that employs multi-level smoothing. We demonstrate the technique using artificial test images and two pairs of real Landsat ETM+satellite images.     

贯流风叶缺陷红外自动检测中噪声抑制的方法

针对贯流风叶缺陷红外自动检测中环境光干扰导致检测准确率不高的问题,文章提出了基于调制红外光、差动 传感器与Hilbert-Huang变换去噪相结合的方法,实现了对贯流风叶注塑缺料缺陷的在线自动检测。首先由红外光源向 外发射经过幅值调制的红外光,当红外光透过贯流风叶后,由差动传感器接收透射信号并进行放大,经A/D采样后送入 单片机,再经过Hilbert-Huang变换去噪,提高了缺陷检测信号的信噪比。通过对贯流风叶产品的实际检测,该方法有效 地抑制了检测中环境光的干扰,提高了缺陷识别的准确率。     

Detection of outlying proportions

In this paper we introduce a new method for detecting outliers in a set of proportions. It is based on the construction of a suitable two-way contingency table and on the application of an algorithm for the detection of outlying cells in such table. We exploit the special structure of the relevant contingency table to increase the efficiency of the method. The main properties of our algorithm, together with a guide for the choice of the parameters, are investigated through simulations, and in simple cases some theoretical justifications are provided. Several examples on synthetic data and an example based on pseudo-real data from biological experiments demonstrate the good performances of our algorithm.     

Multiple outliers detection in sparse high-dimensional regression

The presence of outliers would inevitably lead to distorted analysis and inappropriate prediction, especially for multiple outliers in high-dimensional regression, where the high dimensionality of the data might amplify the chance of an observation or multiple observations being outlying. Noting that the detection of outliers is not only necessary but also important in high-dimensional regression analysis, we, in this paper, propose a feasible outlier detection approach in sparse high-dimensional linear regression model. Firstly, we search a clean subset by use of the sure independence screening method and the least trimmed square regression estimates. Then, we define a high-dimensional outlier detection measure and propose a multiple outliers detection approach through multiple testing procedures. In addition, to enhance efficiency, we refine the outlier detection rule after obtaining a relatively reliable non-outlier subset based on the initial detection approach. By comparison studies based on Monte Carlo simulation, it is shown that the proposed method performs well for detecting multiple outliers in sparse high-dimensional linear regression model. We further illustrate the application of the proposed method by empirical analysis of a real-life protein and gene expression data.     

黑龙江省农业标准化发展现状及存在问题

农业标准化是农业健康发展的基础,为了实现农业标准化的总体目标,需要建立并逐步完善农产品质量标准体系和检验检测体系。2007年以来,黑龙江省在农业标准化工作方面取得了丰硕成果,制定了多项农产品标准,建立了多个国家级、省级农业标准化示范区,并且开展特色农业标准化工作。通过与国内外农业标准化的进程的比较,我们认识到黑龙江省进一步开展农业标准化工作,提高农业标准的水平,并使之与国际农业生产接轨的必要性和紧迫性。     

基于小波领袖多重分形分析法的股市有效性及风险检测

大多数关于股票市场有效性测量与风险侦测的研究都是基于有效市场假说。从分形市场假说出发,本文首先应用小波领袖多重分析法刻画市场波动的多重分形特性来衡量市场的有效性,然后提出一种应用市场最大波动点集的分形维数（D（h_min））及其奇异性指数（h_min）的演化特征来检测金融风险的新方法。实证结果表明：中、美、日三国在不同时期市场的有效性具有明显差异,中国市场的有效性正逐步提高,而美日两国市场的有效性水平与金融危机的发生更为密切。研究发现该方法不但可以正确地定位出金融危机发生的时点,还可以较准确地对风险进行测量。研究结果对于如何提高市场有效性,提升不同投资期限投资者的风险管理水平提供了一些启示。     

沙发检测装置应力及疲劳性能研究

为提高折叠沙发检测装置可靠性，满足技术机构开展检测工作的需求，提出采用有限元分析的方法，对装置的腿 部、座部和背部受力单元进行应力和疲劳性能研究。根据应力云图优化装置结构，利用疲劳分析模块Fatigue Tool模拟 装置耐久性能。模拟结果验证了装置耐久性设计的合理性。