激光熔覆前合金粉末的火焰喷涂

火焰喷涂是激光熔覆前合金粉末的预置方法之一。本文在实验的基础上,探讨了工艺过程,并讨论了影响质量的因素。     

当前水价改革中迫切需要注意的问题

加强水价改革，提高水价，促进节约用水，已经成为全社会关注的焦点。在节约用水和水资源优化配置条件下如何确定水价，水价构成及供水企业的合理成本与利润，以及资源水价的分配和用途是当前水价改革中亟须研究探讨和重视的问题。商品水价应该包括三个部分：一是资源水价，二是工程水价，三是环境水价。只有包括资源因素的水价，才能真正发挥水价在水资源的优化配置和合理利用方面的调节作用。     

Image cipher using image filtering with 3D DNA-based confusion and diffusion strategy

Neural Computing and Applications - In this paper, an image cipher is presented based on DNA sequence operations, image filtering and memrisitve chaotic system. Firstly, plain image is preprocessed...     

Exploiting 2D compressed sensing and information entropy for secure color image compression and encryption

Neural Computing and Applications - Compared to 1D compressed sensing (CS), 2D CS is more efficient for compressing the plaintext image from two directions, but security level of current 2D...     

关中盆地浅层地下水水化学空间分布规律的研究

从水化学角度出发,利用关中盆地浅层地下水164组水化学分析数据,分析了关中盆地浅层地下水的水化学特征及水循环规律。结果表明:关中盆地浅层地下水水化学类型呈现明显的水平分布特征,渭河以南及渭北泾河以西浅层地下水主要以HCO-3型水为主,水化学类型简单,矿化度多小于1 g/L;渭北泾河以东浅层地下水有Cl-、SO42-型水,水化学类型复杂,矿化度较高;TDS与Na+、Cl-、SO42-呈正相关性;浅层地下水具有河谷型和盆地型的双重特征。     

基于无线网络与二维码的医院高值耗材管理与追溯系统研究--以江西某三甲医院为例

本系统通过条码技术建立各个环节的逻辑关系,无线网络和移动计算技术的应用解决了耗材信息采集的问题,与医院信息系统实现对接,实现高值耗材追溯管理。系统对高值耗材的入库、出库、移动、盘点等操作进行全面的控制和管理,达到降低库存、减少资金占用的目的,实现医院库房管理的自动化。     

光催化剂在瓷砖表面的低温固定技术及高效降解甲醛大理石瓷砖的研制

笔者研制了一种高效广谱光催化剂,并研究了在低温条件下,使光催化剂粒子能够牢固地附着在瓷砖的表面,实现了瓷砖降解甲醛功能的持久性。     

An optimal model for estimating suspended sediment concentration from Landsat TM images in the Caofeidian coastal waters

Suspended sediment concentration (SSC) is one of the most critical parameters in water quality and environmental evaluations. Remote sensing has the potential for monitoring the dynamics and spatial distribution of SSC efficiently. The primary objective of this study is to develop retrieval models that are reliable and sensitive to SSC levels in the Caofeidian area, a new seaport in northeast China, based on Landsat-5 Thematic Mapper (TM) images and a set of in situ data sets, including spectral reflectance data and water quality data. The study finds that the band reflectance ratio and binary combination factor (i.e. the ratio of the reflectance to the particle size) are more effective than single band reflectance, and a non-linear model is more potent than a linear model for predicting SSC in the Caofeidian waters. A quadratic polynomial regression model of the R_TM3/R_TM2 ratio is proposed as the optimal retrieval model after evaluating various models with respect to different sensitive factors. The accuracy of the model is acceptable with a relative error and a root mean square error of 25.35% and 7.22 mg l^–1, respectively; the correlation coefficient between the observed and estimated SSCs is 0.986. This study also indicates that the band reflectance ratio and binary combination factor are effective in weakening and even partially eliminating the effects of the changes in the sediment type (i.e. particle size and refractive index). And the band reflectance ratio is more efficient. Using the proposed model and TM data, SSC levels for the entire region were estimated. Such results can serve as a baseline for future environmental monitoring efforts.