基于DHT的P2P资源定位的研究

文章对DHT的P2P资源定位进行了分析和比较,并对Chord模型进行了改进。提出了一个新的模型TL—Chord。该模型将自治域中的超级节点上的缓存表的资源定位机制与Chord的资源定位相结合,缩短了搜索路径长度,缩小了路由时间。     

一种RBAC改进模型及其在军事Web信息系统中的应用

军事Web信息系统要求用户权限必须严格控制、统一管理、维护简便.基于RBAC的访问控制模型能有效弥补DAC和MAC的不足.针对著名的RBAC96模型的缺陷,提出数据资源以业务功能表示、预设角色与用户临时权限的改进角色权限控制模型.该改进方法已经在某军事Web信息系统中得到了应用.     

一种基于文本样式的Web主题信息提取方法研究

考虑Web页面表现形式对主题相关度的影响,提出了一个基于文本样式的Web主题提取算法。该算法解析Web页面中的文本样式,根据不同的文本样式来计算文本的重要度,选取重要度较高的文本作为该页面的主题。算法无须对页面进行复杂的结构分析,也避免了模板需要人工手动配置或训练的繁琐问题,具有较强的通用性。通过对十大类网站的一百个网页的测试,结果表明该算法具有较高的准确度。     

一种基于小波分析的新型图像破雾处理方法

视频是监控系统中的一个重要信息来源,其信息量直观且丰富。但在恶劣天气条件下,尤其是雾霾天气,会使视频监控的可视性能急剧下降。采用适当的图像增强算法,可以有效地改善雾霾天气条件下监控视频的可视性。文章基于小波分析,设计一种以图像增强为基础的新型图像破雾处理方法,以期达到实用的目的。     

Proteomic analysis of sera of asymptomatic,early‐stage patients with Wilson's disease

Wilson's disease (WD) is characterized by excessive accumulation of intracellular copper in liver and extrahepatic tissues, leading to significant oxidative stress and tissue damage. To date, several diagnostic biomarkers for WD such as serum ceruloplasmin, serum or urine copper levels and copper content in liver have been identified. However, these biomarkers may not be convincing for the diagnosis in some WD patients. To identify additional novel diagnostic biomarkers, we compared the serum protein profiles of asymptomatic childhood WD patients (n=20), without neurologic manifestation or liver cirrhosis, with normal controls (n=13). Fourteen spots, five up‐regulated and nine down‐regulated (>2‐fold), were differentially expressed in WD patients in comparison to normal control on 2‐DE. Among them, three spots were down‐regulated in both male and female WD. MS/MS analysis revealed that the three spots were complement component C3, complement factor B and alpha‐2 macroglobulin. By comparative proteome analysis, complement component C3, complement factor B and alpha‐2 macroglobulin, which are related to oxidative stress and inflammation, turned out to be good candidates for novel diagnostic biomarkers for early stages of WD.     

Gait planning for quadruped robot based on dynamic stability: landing accordance ratio

In this article, the method for increasing dynamic stability of quadruped robot is proposed. Previous researches on dynamic walking of quadruped robots have used only walking pattern called central pattern generator (CPG). In this research, different from walking generation with only CPG, a instinctive stability measure called landing accordance ratio, is proposed and used for increasing dynamic stability. In addition, dynamic balance control and control to adjust walking trajectory for increasing dynamic stability measure is also proposed. Proposed methods are verified with dynamic simulation and a large number of experiments with quadruped robot platform.     

A numerically stable fragile watermarking scheme for authenticating 3D models

This paper analyzes the numerically instable problem in the current 3D fragile watermarking schemes. Some existing fragile watermarking schemes apply the floating-point arithmetic to embed the watermarks. However, these schemes fail to work properly due to the numerically instable problem, which is common in the floating-point arithmetic. This paper proposes a numerically stable fragile watermarking scheme. The scheme views the mantissa part of the floating-point number as an unsigned integer and operates on it by the bit XOR operator. Since there is no numerical problem in the bit operation, this scheme is numerically stable. The scheme can control the watermark strength through changing the embedding parameters. This paper further discusses selecting appropriate embedding parameters to achieve good performance in terms of the perceptual invisibility and the ability to detect unauthorized attacks on the 3D models. The experimental results show that the proposed public scheme could detect attacks such as adding noise, adding/deleting faces, inserting/removing vertices, etc. The comparisons with the existing fragile schemes show that this scheme is easier to implement and use.     

模式识别和支持向量机在复合材料优化设计中的研究和应用

论述了复合材料设计及优化的基本研究方法,介绍模式识别和支持向量机人工智能法,举例详述复合材料设计及优化中的两种智能法,总结两种智能融合法在复合材料优化设计中的分类、建模、预测等基本研究方法和应用。举例说明模式识别和支持向量机在复合材料优化设计中重要的研究价值。最后对该领域的发展提出若干建议。     

间歇精馏分离乙醇-DEM体系的研究

为除去DEM粗产品中的少量乙醇,获得高纯度DEM产品,测定乙醇-DEM体系的汽液平衡数据,采用间歇精馏法将体系分离精制.确定了精馏工艺条件,考查了原料组成、填料高度等因素对分离的影响,采用理论板数n≥28的填料蒸馏塔,当原料中乙醇含量等于2%时,产品DEM纯度町高于99.6%,回收率超过88%.为以后的工业装置设计及工业化生产提供了充足的实验依据.     

土壤有机碳储量研究进展

如何有效进行土壤有机碳储量估算,世界各同都做了有益地探索和研究.本文通过对比分析目前国内外土壤有机碳相关研究成果,系统总结了土壤有机碳的研究背景、研究方法、评价指标及储量等主要成果,并指出了我国在土壤有机碳储量研究方面存在的若干问题.最后提出目前需要深入的几个研究方向,包括采用大比例尺地形图,进一步提高不同海拔地块土壤碳储量估算精度,加强土壤有机碳与气候相互作用机理分析,综合分析土地利用/覆盖变化对土壤有机碳的影响,并寻求不同时空条件下土壤有机碳估算方法.