基于两电极体系的水质检测分析平台设计

为实现对水质的多参数检测,设计了一个基于两电极体系的水质检测分析平台。该检测平台通过最小化极化电流的思想,采用辅助电极面积远大于工作电极的电极参数,设计了基于两电极体系的集成电极和软硬件系统,摈弃了传统三电极体系的参比电极,同时克服了传统三电极体系容易污染样品的缺点,能实现电化学工作站的诸多功能。本研究在该检测平台上开展了水样的电导率(EC)、pH和重金属浓度的检测研究,获得了较好的结果,可用于实验室及工业现场的水质监测。     

抛光液温控装置结构设计及温度场分析

为精确控制超光滑表面抛光过程中抛光液的温度,根据温控基本原理设计温控装置结构.将用UG建立的温控装置模型导入GAMBIT中进行温度场分析.针对装置内部温度分布不均匀问题,对其结构进行优化：在装置内加入导热隔板将其分为工作区和调温区,制冷器被置于调温区内;将温控装置的外形结构加入过渡圆角.结果表明：优化后的温控装置形成内外环流,工作区温度波动范围为±0.01℃,温度分布均匀对称,满足高精度温控的恒温和匀温要求.     

ExtJS框架下表格组件的应用与改进

在油田措施效果评价系统开发中,使用了ASP.NET技术并结合ExtJS框架,设计并实现了一个基于B/S模式的Web应用系统,解决开发中的技术问题,着重对ExtJS中的表格组件进行了改进和扩展,实现了同时显示锁定部分表格列与支持多行表头的复杂表格,对系统中常用的几种表格形态及深入应用作了介绍与分析。     

软件定义车联网中缓存辅助的NOMA功率分配方案研究

由于对丰富多媒体服务的需求日益增长,车联网需要提供海量的设备连接以满足高频谱效率和低延迟的需求。软件定义网络（SDN）、缓存和非正交多址接入（NOMA）被认为是有效解决这些关键挑战的潜在技术。针对软件定义车联网,提出了一种缓存辅助的NOMA功率分配方案。首先,针对车联网中车辆总是处于高速运动状态的特点,提出了一种新的簇头选择算法,到达的道路交通将借助SDN进行预测,实现自适应车辆分簇。其次,引入了缓存辅助的NOMA方案,每个车辆在文件缓存阶段使用NOMA原理缓存和请求文件。再次,针对双Nakagami-m衰落条件下的两个簇头车辆通信场景,提出了一种最优功率分配策略,将优化问题公式化为找到每辆车的最佳功率曲线,从而最大化地在每辆车上成功解码目标文件的概率。最后,数值仿真和理论分析表明,所提缓存辅助NOMA功率分配方案,性能明显优于传统的NOMA和缓存辅助的OMA。     

基于水化学和环境同位素的准格尔煤田地下水循环特征

为揭示准格尔煤田地区地下水循环特征,运用水化学技术、水汽轨迹模型和环境同位素等方法分析不同水体水化学特征、环境同位素特征、大气降水主要来源、地表水及地下水转化关系。结果表明:地表水矿化度低,呈弱碱-偏碱性,水化学类型以HCO_3·SO_4·Cl-Ca型水为主;地下水整体矿化度低,偏弱碱性,主要以HCO_3-Na·Ca型、Cl-Na型、HCO_3-Ca·Mg型、HCO_3·Cl-Na型水为主;黄河水δ(D)平均值为-79.6‰、δ(~(18)O)平均值为-10.47‰,第四系地下水δ(D)平均值为-66.25‰、δ(~(18)O)平均值为-9.1‰,白垩系地下水δ(D)值为-70.6‰、δ(~(18)O)值为-9.3‰,石炭-二叠系地下水δ(D)平均值为-77.07‰、δ(~(18)O)平均值为-9.9‰,寒武-奥陶系地下水δ(D)平均值为-75.73‰、δ(~(18)O)平均值为-10.06‰;大气降水受极地气团和季风影响,主要来源为西风带水汽、地表水和地下水水汽蒸发再循环;断层带、褶皱轴部裂隙带为不同含水层间主要导水通道,大气降水和黄河为地下水主要补给来源;高承压水头寒武-奥陶系岩溶裂隙水越流补给第四系松散孔隙水和砂岩裂隙水,第四系松散孔隙水通过地层间不整合接触面裂隙发育带向下补给石炭-二叠系砂岩裂隙水,黄河水对寒武-奥陶系地下水的补给比例受地质构造发育的影响较大。     

Potential applications of three-way multidimensional scaling and related techniques to integrate knowledge from multiple experts

Theknowledge transfer problem in artificial intelligence consists of finding effective ways to elicit information from a human expert and represent it in a form suitable for use by an expert system. One approach to formalizing and guiding this knowledge transfer process for certain types of expert systems is to use psychometric scaling methods to analyze data on how the human expert compares or groups solutions. For example, Butler and Corter [1] obtained judgments of thesubstitutability of solutions from an expert, then analyzed the resulting data via techniques for fitting trees and extended trees [2]. The expert's interpretation of certain aspects of the solutions were directly encoded as production rules, allowing rapid prototyping. In this paper we consider the problem of combining information from multiple experts. We propose the use of three-way or individual differences multidimensional scaling, tree-fitting, and unfolding models to analyze two types of data obtainable from the multiple experts: judgments of the substitutability of pairs of solutions, and judgments of the appropriateness of specific solutions to specific problems. An application is described in which substitutability data were obtained from three experts and analyzed using the SINDSCAL program [3] for three-way multidimensional scaling [4].     

基于码本模型和多特征的早期烟雾检测

提出一种基于码本模型和多特征的早期烟雾检测算法。首先,利用码本模型进行前景提取;然后,结合烟雾的颜色模型和形状特征模型检测前景中的疑似烟雾区域;最后,利用烟雾的动态特性,有效地降低误检率,提高算法的鲁棒性。通过ROC曲线对比,实验结果表明,该算法具有良好的烟雾检测能力。同时,能够满足实时性要求,具有较高的实用价值。     

单相NPC型H桥级联逆变器电容电压不均与环流相互作用机理及建模研究

针对单相NPC型H桥级联逆变器并联时环流与电容电压不均的相互关系进行研究。通过环流等效电路推导了一个开关周期内环流与电容电压不均之间的数学关系,发现电容电压不均差异是环流的激励源之一;同时环流会改善一台并联逆变器的电容电压不均,恶化另一台逆变器的电容电压不均。为建立周期稳态条件下的环流-电容电压不均数学模型,提出采用“假设—建模—求解—检验—校正”的建模思路建立了基于阻滞的环流作用模型,有效避免了多因素建模的复杂性,同时提高了模型的准确性,仿真和试验结果表明,基于阻滞的环流作用模型拟合决定系数可达0.963 8和0.945 0,证明了环流模型的准确性。     

IgGs-Abzymes from the Sera of Patients with Multiple Sclerosis Recognize and Hydrolyze miRNAs

Autoantibodies-abzymes hydrolyzing DNA, myelin basic protein, and oligosaccharides have been revealed in the sera of patients with multiple sclerosis (MS). In MS, specific microRNAs are found in blood and cerebrospinal fluid, which are characterized by increased expression. Autoantibodies, specifically hydrolyzing four different miRNAs, were first detected in the blood of schizophrenia patients. Here, we present the first evidence that 23 IgG antibodies of MS patients effectively recognize and hydrolyze four neuroregulatory miRNAs (miR-137, miR-9-5p, miR-219-2-3p, and miR-219-5p) and four immunoregulatory miRNAs (miR-21-3p, miR-146a-3p, miR-155-5p, and miR-326). Several known criteria were checked to show that the recognition and hydrolysis of miRNAs is an intrinsic property of MS IgGs. The hydrolysis of all miRNAs is mostly site-specific. The major and moderate sites of the hydrolysis of each miRNA for most of the IgG preparations coincided; however, some of them showed other specific sites of splitting. Several individual IgGs hydrolyzed some miRNAs almost nonspecifically at nearly all internucleoside bonds or demonstrated a combination of site-specific and nonspecific splitting. Maximum average relative activity (RA) was observed in the hydrolysis of miR-155-5p for IgGs of patients of two types of MS—clinically isolated syndrome and relapsing-remitting MS—but was also high for patients with primary progressive and secondary progressive MS. Differences between RAs of IgGs of four groups of MS patients and healthy donors were statistically significant (p < 0.015). There was a tendency of decreasing efficiency of hydrolysis of all eight miRNAs during remission compared with the exacerbation of the disease.