Components and Development in Big Data System: A Survey

With the growth of distributed computing systems, the modern Big Data analysis platform products often have diversified characteristics. It is hard for users to make decisions when they are in early contact with Big Data platforms. In this paper, we discussed the design principles and research directions of modern Big Data platforms by presenting research in modern Big Data products. We provided a detailed review and comparison of several state-of-the-art frameworks and concluded into a typical structure with five horizontal and one vertical. According to this structure, this paper presents the components and modern optimization technologies developed for Big Data, which helps to choose the most suitable components and architecture from various Big Data technologies based on requirements.     

基于SDN的电力数据中心网络架构研究

为建设能源互联网,充分应用“大云物移智”等现代信息技术,文章从SDN网络架构模型出发,根据不同类型流量,将云数据中心网络划分为3张相互隔离的网络,即业务网、存储网和管理网,然后详细阐述了3张网的设计方案,并给出了一个从传统数据中心向云数据中心发展的演进步骤,为搭建适应快速增长的业务需求的云数据中心提供了思路。     

Combined application of electrolysed water and ultrasound to improve the sanitation of knives in the meat industry

This study investigated the effect of the combination of basic electrolysed water (BEW) and slightly acid electrolysed water (SAEW) with ultrasound (US) for cleaning and sanitation of the knives used in slaughtering processes. The knives were sonicated in a US bath using two modes of operation (normal and sweep) in two steps: (i) 5 min with BEW and (ii) 10 min with SAEW at 35 °C. The microbiological counts and the possible changes in the physical structure of the knives were evaluated. The association BEW + SAEW + US, in the sweep mode, provided lower mesophilic, enterobacterial, Staphylococcus aureus and yeast counts when compared to the values recommended by the international legislation. In addition, these conditions removed all organic residues from the knife blades and promoted the highest migration rate of the residues to the US water bath (12.35 mg/L·min), without modifications in the knife blades. Thus, cleaning and sanitation of knives was feasible with the association of BEW + SAEW + US, which could be a useful alternative for the meat industry.     

浅谈煤矿数据的分析与应用

当今社会科技发展快、信息流通量大,人们之间的交流越来越密切,大数据这个高科技时代的产物也应运而生。煤炭作为工业发展的重要组成部分,其发展关系着整个工业的发展。如今,许多现代大型煤矿已能将井下设备信息上传到地面,在地面就可直观的看到设备当前运行的情况,从而更可靠的进行安全生产。通过结合实例将上传的设备信息数据进行整理和分析,从而预测设备的运行状况,提出建设性建议。同时对加强煤矿安全生产、促进煤炭行业现代化建设、提高煤矿的经济效益和社会效益具有重要的意义。     

基于数据拼接的金刚石刀具刃口三维形貌表征技术

原子力显微镜(AFM)是获取金刚石刀具刃口纳米级三维形貌的重要手段,但其存在测量范围小,难以表征参与切削区域整段刃口形貌特征的问题。采用基于迭代最近点法的刃口AFM测量数据拼接算法,获得了由多组数据拼接得到的刃口纳米级三维形貌,并进行了切削实验验证。实验结果表明,采用的数据拼接方法可较好地用于表征刀具刃口三维形貌。     

A Unified Analysis of Structured Sonar-Terrain Data Using Bayesian Functional Mixed Models

Sonar emits pulses of sound and uses the reflected echoes to gain information about target objects. It offers a low cost, complementary sensing modality for small robotic platforms. Although existing analytical approaches often assume independence across echoes, real sonar data can have more complicated structures due to device setup or experimental design. In this article, we consider sonar echo data collected from multiple terrain substrates with a dual-channel sonar head. Our goals are to identify the differential sonar responses to terrains and study the effectiveness of this dual-channel design in discriminating targets. We describe a unified analytical framework that achieves these goals rigorously, simultaneously, and automatically. The analysis was done by treating the echo envelope signals as functional responses and the terrain/channel information as covariates in a functional regression setting. We adopt functional mixed models that facilitate the estimation of terrain and channel effects while capturing the complex hierarchical structure in data. This unified analytical framework incorporates both Gaussian models and robust models. We fit the models using a full Bayesian approach, which enables us to perform multiple inferential tasks under the same modeling framework, including selecting models, estimating the effects of interest, identifying significant local regions, discriminating terrain types, and describing the discriminatory power of local regions. Our analysis of the sonar-terrain data identifies time regions that reflect differential sonar responses to terrains. The discriminant analysis suggests that a multi- or dual-channel design achieves target identification performance comparable with or better than a single-channel design. Supplementary materials for this article are available online.     

手机信令数据在地质灾害预警中的应用

本文是在地质灾害监测预警项目的实践基础上,结合移动运营商对手机信令数据的侦测应用,提出了基于手机信令数据的地质灾害预警发布的解决方案。该方案可实现地质灾害隐患点威胁区域的人员实时统计、预警信息发布、预警效果判断等功能,弥补了现有基于短信和大喇叭预警发布解决方案的不足。它能有效降低地质灾害发生时造成的人员伤亡,并且适用于我国所有的地质灾害影响区域。     

废磺酸的处理技术

废磺酸由于色泽深、酸值高、游离油高等问题,无法正常应用于洗涤剂中,又因其是强的有机酸,属于危化品,无法倾倒、无法储存,日积月累,大量的废磺酸处理成为企业棘手的问题。本文通过中和和漂白工艺,将其应用于工业清洗中,解决了企业难题。     

钛合金激光清洗及其对激光焊接气孔的影响

采用砂纸打磨、酸洗、激光清洗等方式对Ti6Al4V钛合金进行焊前清洗。通过扫描电镜、白光干涉仪、能谱仪分析了各种清洗方式下的表面形貌、粗糙度和化学成分，研究了不同清洗方式及参数对清洗效果的影响。在均匀熔透和表面质量良好的同一激光焊接条件下，比较了不同清洗条件对气孔率的影响。合适的激光清洗可有效清除焊接试件表面氧化层，并改善表面粗糙度，得到较低的气孔率，其焊缝可达到中国航天工业行业标准I级焊缝要求。