Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method

The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ? function, involving two hyperparameters. Our goal is to estimate the optimal parameters in order to automatically reconstruct images. We propose to use the maximum-likelihood estimator (MLE), applied to the observed image. We need sampling from prior and posterior distributions. Since the convolution prevents use of standard samplers, we have developed a modified Geman-Yang algorithm, using an auxiliary variable and a cosine transform. We present a Markov chain Monte Carlo maximum-likelihood (MCMCML) technique which is able to simultaneously achieve the estimation and the reconstruction.     

提高综合勘测实力开拓岩土工程市场

随着西北勘测设计研究院（以下简称西北院）勘测总队所承担的黄河龙￣青段、白龙江流域等河段前期综合勘测工作的相继结束，拥有２０００多名职工的勘测队伍面临着何去何从的重大选择。在此转折关头，勘测总队面对现实，审时度势，抓住机遇，开拓前进，及时转轨变型，制定了本单位发展的战略和方向，使勘测总队由单一勘测业务转变为集勘测与岩土工程施工为一身的新型综合队伍。几年来，经过全体职工的奋发努力，缍获得了１９９５年￣     

On connections between 3-d microstructures and their 2-d images

The problem of recovery of three-dimensional microstructural parameters from two-dimensional images is addressed in its inverse form. Three-dimensional inhomogeneous solids with known microstructures are generated virtually and images of their cross-sections are analyzed. Three different types of randomly oriented microcracks and microcracks having preferential orientation with some scatter. Somewhat unexpected result is that, in all the cases considered, three-dimensional defect densities are very close to average values of corresponding two-dimensional parameters.     

基于高速摄像的ESPI全场动态特性测量

采用高速摄像与ESPI技术相结合,将运动中的被测物位移随时间变化的状态以序列图像的形式实时记录,并运用图像处理技术,成功地实现了ESPI动态测量。测量了悬臂梁的自由振动过程,获得了悬臂梁的振动周期、振动频率和阻尼系数等动态特性,实验结果与理论计算值相吻合。     

女性与女性建筑师

从女性主义的角度对北京、武汉两地的女性建筑师执业状况进行了调查研究，根据调查结果重点分析了中国女性建筑师的处境和面临的问题，并进—步探讨女性建筑师应如何扮演这一独特的社会角色。     

浅谈语文教学中的形象思维

形象思维足语文教学内容的一个重要组成部分,是语言表达的基础.语文课应该重视对学生形象思维的培养与训练.     

Influence of electroosmotic treatment on the hydro-mechanical behaviour of clayey silts: preliminary experimental results

Preliminary results of an investigation focused on the influence of electrokinetic treatment on the mechanical and hydraulic behaviour of clayey soils are presented. The experimental programme aims at providing a contribution to the sustainability of contaminant extraction or containment via electroosmosis. Changes in the hydraulic and mechanical properties of two illitic clayey soils, subjected to a DC electric field, were investigated. Samples of the two soils were subjected to electrokinetic filtration, for different periods of time, and under different constant loads. Afterwards, they were tested under one-dimensional compression to detect changes in stiffness and hydraulic conductivity due to the electrical treatment. After the application of a DC field for a few hours, a small reversible increment in the average soil stiffness was observed, with respect to the untreated soil, while the hydraulic conductivity was not affected substantially. Dramatic changes of the mechanical and hydraulic soil properties, correlated to changes of the soil pH, were observed following non-conditioned electrokinetic treatment with duration of the order of days.     

Quality of manual data collection in Java software: an empirical investigation

Data collection, both automatic and manual, lies at the heart of all empirical studies. The quality of data collected from software informs decisions on maintenance, testing and wider issues such as the need for system re-engineering. While of the two types stated, automatic data collection is preferable, there are numerous occasions when manual data collection is unavoidable. Yet, very little evidence exists to assess the error-proneness of the latter. Herein, we investigate the extent to which manual data collection for Java software compared with its automatic counterpart for the same data. We investigate three hypotheses relating to the difference between automated and manual data collection. Five Java systems were used to support our investigation. Results showed that, as expected, manual data collection was error-prone, but nowhere near the extent we had initially envisaged. Key indicators of mistakes in manual data collection were found to be poor developer coding style, poor adherence to sound OO coding principles, and the existence of relatively large classes in some systems. Some interesting results were found relating to the collection of public class features and the types of error made during manual data collection. The study thus offers an insight into some of the typical problems associated with collecting data manually; more significantly, it highlights the problems that poorly written systems have on the quality of visually extracted data.