A novel reversible robust watermarking algorithm based on chaotic system

Reversible watermarking can be applied to the protection for important digital media, such as medical and military image, it allows the watermark to be extracted and the original image to be restored completely, but reversible watermarking with stronger robustness is seldom discussed in existing literature. In this paper, a novel reversible watermarking algorithm based on chaotic system is proposed; chaotic system is not only used to search space of reversibility of the scheme, but also used to randomly select the position of watermarking embedding. Consequently, the proposed scheme achieves larger threshold space of reversibility and better performance of security. For some specific thresholds, the proposed algorithm is not only reversible, but also has stronger robustness against image compression. The experimental results show that the ergodicity and sensitivity to initial values of chaotic system play an important role in reversible watermarking algorithm, and the proposed scheme can achieve balance between reversibility and robustness with the help of chaotic system.     

Ricci flow-based spherical parameterization and surface registration

This paper presents an improved Euclidean Ricci flow method for spherical parameterization. We subsequently invent a scale space processing built upon Ricci energy to extract robust surface features for accurate surface registration. Since our method is based on the proposed Euclidean Ricci flow, it inherits the properties of Ricci flow such as conformality, robustness and intrinsicalness, facilitating efficient and effective surface mapping. Compared with other surface registration methods using curvature or sulci pattern, our method demonstrates a significant improvement for surface registration. In addition, Ricci energy can capture local differences for surface analysis as shown in the experiments and applications.     

VNET6: IPv6 virtual network for the collaboration between applications and networks

The scarcity of IPv4 makes IPv6 deployment critical for all network-based applications. However, the big issue of IPv6 is that we lack real applications that are based on IPv6. The application demands for flexibility, availability and management are hard to be met by the current network. Hence, it has become extremely urgent how IPv6 network can be tailored to meet the application specified requirements. In order to address the need, we propose IPv6 virtual network architecture (VNET6) to help to accelerate the momentum of IPv6 deployment. VNET6 differs from other proposed architectures. It supports incremental network evolution with the virtual collaboration environment, which has distinct features including flexible service provision, reliable service entity, end-to-end flow management and ubiquitous access. The collaboration mode provides the bidirectional interaction between applications and networks via intent-based interfaces. IPv6 provides feasibility for the deployment of the virtual environment and the IPv6 critical protocols are employed in VNET6. Our initial prototype study and comparative analysis demonstrate that VNET6 can be adapted to meet the specific application requirements.     

A view-invariant and anti-reflection algorithm for car body extraction and color classification

This study proposes an intelligent algorithm with tri-state architecture for real-time car body extraction and color classification. The algorithm is capable of managing both the difficulties of viewpoint and light reflection. Because the influence of light reflection is significantly different on bright, dark, and colored cars, three different strategies are designed for various color categories to acquire a more intact car body. A SARM (Separating and Re-Merging) algorithm is proposed to separate the car body and the background, and recover the entire car body more completely. A robust selection algorithm is also performed to determine the correct color category and car body. Then, the color type of the vehicle is decided only by the pixels in the extracted car body. The experimental results show that the tri-state method can extract almost 90% of car body pixels from a car image. Over 98% of car images are distinguished correctly in their categories, and the average accuracy of the 10-color-type classification is higher than 93%. Furthermore, the computation load of the proposed method is light; therefore it is applicable for real-time systems.     

Young's modulus repeatability assessment using cycling compression loading on cancellous bone

For various applications, precision of the Young's modulus of cancellous bone specimens is needed. However, measurement variability is rarely given. The aim of this study was to assess the Young's modulus repeatability using a uniaxial cyclic compression protocol on embedded specimens of human cancellous bone. Twelve specimens from 12 human calcanei were considered. The specimens were first defatted and then 1 or 2 mm at the ends were embedded in an epoxy resin. The compression experiment consists in applying 20 compressive cycles between 0.2 per cent and 0.6 per cent strain with a 2 Hz loading frequency. The coefficient of variation of the current protocol was found to be 1.2 percent. This protocol showed variability similar to the end-cap technique (considered as a reference). It can be applied on porous specimen (especially human bone) and requires minimal bone length to limit end-artifact variability. The current method could be applied in association with noninvasive measurements (such as ultrasound) with full compatibility. This possibility opens the way for bone damage follow-up based on Young's modulus monitoring.     

纳子峡面板沙砾石坝应力变形三维有限元分析

采用三维非线性有限元法建立纳子峡水电站面板砂砾石坝的三维有限元分析模型,对大坝填筑施工过程和水库蓄水过程进行仿真研究,计算分析施工期和蓄水期大坝、面板及周边缝的变形特性.计算结果表明:施工期和蓄水期坝体的最大沉降分别为0.74 m和0.76 m,占最大坝高的0.61%和0.63%;第一主应力最大值分别为2 321 kPa和2 478 kPa,第三主应力最大值分别为588 kPa和626 kPa,应力水平在0.3-0.85之间;周边缝和面板缝法向拉伸变形最大值分别为29 nun和34 mm,垂直剪切变形最大值分别为25 mm和0,顺缝剪切变形分别为27 nun和29mm.从静力分析结果看,纳子峡面板坝的设计方案是合理的.     

西南干旱地区城市水系规划研究——以昆明高新产业基地为例

针对西南干旱地区干湿分明,雨季单点暴雨强度大,旱季水资源不足,地形坡度大等特点,以昆明高新产业基地开发建设为例,运用斑块-廊道-基质模式理论以及集聚间有离析最优格局理论,对区域现状水系进行梳理及改造,结合水系功能的转变,构建与城市发展相适宜的防洪与景观体系。通过对河道、池塘特征的系统分析研究,确定了水系的生态需水量。根据生态需水量的研究成果,提出了利用上游水库、区域内库塘蓄水及城市再生水等满足生态需水要求的措施,保证旱季生态需水要求,满足水系生态系统在不同时期的完整性。     

A Comparative study on multiobjective reliable and robust optimization for crashworthiness design of vehicle structure

Design optimization without considering uncertainties of system variables and parameters can be problematic in real life. In order to take into account the effect of uncertainties, reliable and robust design schemes have proven effective, but limited studies have been reported to compare their difference in a multiobjective framework. This paper takes a typical vehicle structure subject to offset frontal crashing scenario as an example to compare reliable and robust designs with their deterministic counterpart. The thicknesses of some key components of vehicle frontal structures were selected as design variables, the vehicle weight and energy absorption as the objectives, deceleration and firewall intrusion as the constraints. The deterministic multiobjective optimization problem was first solved by adopting Design of Experimental (DOE), metamodels and Non-dominated Sorting Genetic Algorithm II (NSGA-II). Take into account the uncertainties, a Monte Carlo Simulation (MCS) is adopted to generate random distributions of the objective and constraint functions for each design. For the reliability-based optimization the desired reliabilities of 90 %, 95 % and 99 % are considered, respectively. For the robustness-based optimization, two different formulation strategies are adopted. The optimization showed that the reliable and robust Pareto fronts are shifted away from their deterministic counterpart due to uncertainties. The different Pareto fronts yielded from the deterministic, reliable and robust designs are compared to provide some quantitative insights into how to apply these different design schemes for resolving uncertainty problems. It is shown that, compared with the baseline design, the optimizations enhance the crashworthiness of vehicle, though more conservative solutions could have been generated from the reliable and robust optimizations.     

IDC信息安全管理系统建设方案探讨

根据工业和信息化部对电信企业IDC／ISP信息安全的管控要求,本文通过分析中国移动已建的IDC运营管理平台、网站备案管理系统、某内容监测系统、IDC流量流向分析控制系统、上网日志留存等多个涉及IDC信息安全系统的现状,在对上述系统进行梳理整合的基础上,补充完善相关功能,以实现对中国移动IDC系统的静态信息、实时动态流量信息进行全方位的覆盖监、管、控立体化管理。对IDC信息安全管理系统建设方案中的关键问题进行分析及总结,包括系统的主要功能、系统架构、建设原则、建设方案、安全要求等内容。     

基于AdaBoost的人脸特征挑选与特征融合算法研究

针对人脸识别中的特征挑选和特征融合问题进行研究。结合已有的基于AdaBoost的人脸特征挑选方法,挑选出最具分类能力的特征,并将挑选出的多类人脸特征在特征层进行融合,得到一个统一的人脸特征用于模式分类。通过在FERET人脸库上的实验表明,其识别方法具有良好的识别效果。