INDIANA: An interactive system for assisting database exploration

We propose INDIANA, a system conceived to support a novel paradigm of database exploration. INDIANA assists the users who are interested in gaining insights about a database though an interactive and incremental process, like a conversation that does not happen in natural language. During this process, the system iteratively provides the user with some features of the data that might be “interesting” from the statistical viewpoint, receiving some feedbacks that are later used by the system to refine the features provided to the user in the next step. A key ability of INDIANA is to assist “data enthusiastic” users (i.e., inexperienced or casual users) in the exploration of transactional databases in an interactive way. For this purpose, we develop a number of novel, statistically-grounded algorithms to support the interactive exploration of the database. We report an in-depth experimental evaluation to show that the proposed system guarantees a very good trade-off between accuracy and scalability, and a user study that supports the claim that the system is effective in real-world database-exploration tasks.     

基于C/S模式的体育事业统计年鉴信息系统设计与实现

本文以历年《中国体育事业统计年鉴》中的积累数据为研究对象，通过对各类统计数据表的分析，运用数据库技术和软件工程方法，确定表的结构，建立年鉴数据库；研究运用c#语言设计开发基于网络的c/s模式前端客户端，对数据库进行添加、删除、修改、查询、导出等相关操作，实现对《中国体育事业统计年鉴》数据的网络化管理。     

C50混凝土推定抗压强度的概率统计分析

在对广州某施工现场进行混凝土回弹试验的基础上,采用χ2检验法对现场采集到的混凝土抗压强度选取正态分布进行检验,本文分析C50混凝土推定抗压强度的概率统计规律,计算结果表明,施工现场的C50混凝土推定抗压强度的概率分布服从正态分布,与规范中C50混凝土抗压强度的均值,变异系数相比,该C50混凝土抗压强度的离散型较小。     

民用建筑能耗的统计方案及数据库软件在建筑节能中的应用研究

介绍了国内外建筑能耗统计的发展状况,着重阐述了民用建筑能耗统计方案及其数据库软件在建筑节能领域的应用研究过程。     

基于改进网格运动统计特征的图像匹配算法

为了解决尺度不变特征变换（SIFT）算法在图像匹配中匹配正确率低、耗时长等问题，提出一种基于改进网格运动统计特征RANSAC-GMS的图像匹配算法。首先，利用快速旋转不变性特征（ORB）算法对图像进行预匹配，对预匹配的特征点采用网格运动统计（GMS）来支持估计量以实现正确匹配点与错误匹配点的区分；然后，采用改进的随机抽样一致性（RANSAC）算法通过匹配点间的距离相似性对特征点进行筛选，并采用评价函数对筛选后的新数据集进行重新整理，进而实现对误匹配点的剔除。采用Oxford标准图库和现实中拍摄的图像对图像匹配算法进行测试对比，实验结果表明，所提算法在图像匹配中的平均匹配正确率达到91%以上；与GMS、SIFT、ORB等算法相比，该改进算法的近景匹配正确率和远景匹配正确率分别最少提高了16.15个百分点和3.56个百分点，说明它能有效剔除误匹配点，进一步提高图像匹配精度。     

Workplace injuries in the developing countries

Transfer of technology and industrial development without consideration for the characteristics of the local users and the environmental conditions of the recipient countries has proved to be not only socially destructive but economically expensive in terms of human suffering and material losses

Most developing countries (DC) are paying an unacceptably high price in terms of suffering, sickness and also loss of production due to work-related accidents

Poor working conditions and non-existence of an effective injury prevention programme in many DCs has resulted in a very high sickness and accident rate. In such circumstances, the salary and social benefits of the worker are low, because productivity is well below its capacity. This vicious cycle also results in the worker's malnutrition and low working capacity, resulting in turn in greater vulnerability to disease and job-related accidents

A greater awareness is needed among employers and the workforce of such common problems as increased health hazards, poor organization of work, increased night shifts, and a low level of implementing standards and safety regulations

Unfortunately, no reliable statistics are available on work-related injuries in DCs. CEDC has started a databank on the ergonomics of developing countries with some limited information on injuries in the workplaces in developing countries.     

反渗透装置处理炼油污水的优化运行

阐述了在土地勘测定界测量中,为了提高工作效率,减少在生产中出现的错误,利用VB2005结合.NET API对AutoCAD进行了二次开发。在土地分类标注文字中,把土地类别和面积分别加入到文字的扩展数据中,然后在面积统计中再提取文字中的扩展数据进行计算并输出至表格,实现了土地利用分类的标注和面积统计的自动化。     

A small-world network model for the simulation of fire spread onboard naval vessels

This work is devoted to the development of a small-world network model to predict real-time fire spread onboard naval vessels. This model takes into account short-range and long-range connections between neighboring and remote network compartments. Fire ignition and flashover, as well as fire transmissions through the walls and ventilation ducts are simulated using time-dependent normal probability density functions. Mean durations of fire transmission through the walls and ducts are determined by a three-zone model and a one-dimensional CFD code, respectively. Specific experiments are conducted in a steel room, representative of a naval vessel compartment, in order to validate the zone model. Then a proof of concept is developed by applying the network model to a full-scale vessel mockup composed of 113 compartments on 7 decks. A statistical study is conducted to produce fire risk maps, classifying the vessel compartments according to their propensity to burn.     

Numerical comparison of sampling strategies for BRDF data manifolds

The bidirectional reflectance distribution function (BRDF) is one of the fundamental concepts in such diverse fields as multidimensional reflectometry, computer graphics and computer vision. BRDF manifolds form an infinite-dimensional space, but typically the available measurements are very scarce. Therefore, an efficient learning strategy is crucial when performing the measurements.In this paper, we perform simulation studies within a mathematical framework that allows to establish more efficient BRDF sampling and measurement strategies in the sense of statistical design of experiments and generalized proactive learning. Our simulation studies suggest that the default BRDF measurement strategy is suboptimal for a wide class of loss functions.     

Spatial interpolation methods applied in the environmental sciences: A review

Spatially continuous data of environmental variables are often required for environmental sciences and management. However, information for environmental variables is usually collected by point sampling, particularly for the mountainous region and deep ocean area. Thus, methods generating such spatially continuous data by using point samples become essential tools. Spatial interpolation methods (SIMs) are, however, often data-specific or even variable-specific. Many factors affect the predictive performance of the methods and previous studies have shown that their effects are not consistent. Hence it is difficult to select an appropriate method for a given dataset. This review aims to provide guidelines and suggestions regarding application of SIMs to environmental data by comparing the features of the commonly applied methods which fall into three categories, namely: non-geostatistical interpolation methods, geostatistical interpolation methods and combined methods. Factors affecting the performance, including sampling design, sample spatial distribution, data quality, correlation between primary and secondary variables, and interaction among factors, are discussed. A total of 25 commonly applied methods are then classified based on their features to provide an overview of the relationships among them. These features are quantified and then clustered to show similarities among these 25 methods. An easy to use decision tree for selecting an appropriate method from these 25 methods is developed based on data availability, data nature, expected estimation, and features of the method. Finally, a list of software packages for spatial interpolation is provided.