A novel color image watermarking scheme in nonsampled contourlet-domain

Geometric distortion is known as one of the most difficult attacks to resist, for it can desynchronize the location of the watermark and hence causes incorrect watermark detection. It is a challenging work to design a robust color image watermarking scheme against geometric distortions. Based on the support vector regression (SVR) and nonsubsampled contourlet transform (NSCT), we propose a new color image watermarking algorithm with good visual quality and reasonable resistance toward geometric distortions in this paper. Firstly, the geometrically invariant space is constructed by using color image normalization, and a significant region is obtained from the normalized color image by utilizing the invariant centroid theory. Then, the NSCT is performed on the green channel of the significant region. Finally, the digital watermark is embedded into host color image by modifying the low frequency NSCT coefficients, in which the HVS masking is used to control the watermark embedding strength. In watermark detection, according to the high correlation among different channels of the color image, the digital watermark can be recovered by using SVR technique. Experimental results show that the proposed color image watermarking is not only invisible and robust against common image processing operations such as filtering, noise adding, and JPEG compression etc., but also robust against the geometrical distortions.     

Dual graph regularized NMF model for social event detection from Flickr data

In this work, we aim to discover real-world events from Flickr data by devising a three-stage event detection framework. In the first stage, a multimodal fusion (MF) model is designed to deal with the heterogeneous feature modalities possessed by the user-shared data, which is advantageous in computation complexity. In the second stage, a dual graph regularized non-negative matrix factorization (DGNMF) model is proposed to learn compact feature representations. DGNMF incorporates Laplacian regularization terms for the data graph and base graph into the objective, keeping the geometry structures underlying the data samples and dictionary bases simultaneously. In the third stage, hybrid clustering algorithms are applied seamlessly to discover event clusters. Extensive experiments conducted on the real-world dataset reveal the MF-DGNMF-based approaches outperform the baselines.     

Multi-objective and multi-case reliability-based design optimization for tailor rolled blank (TRB) structures

Structural and Multidisciplinary Optimization - Light weight and crashworthiness signify two main challenges facing in vehicle industry, which often conflict with each other. In order to achieve...     

军用软件开发过程的质量管理体系研究

军用软件系统的开发在我军信息化建设中占据至关重要的地位。大型武器装备系统的军用软件开发,成本高、风险大、周期长,参与单位及人员众多,如何能够确保大型军用软件的质量,增强武器装备性能,成为亟待解决的课题。本文将质量管理体系引入军用软件开发过程之中,通过强化过程控制,来确保大型军用软件的开发质量,对军队信息化建设,特别是软件系统的开发起到指导和借鉴作用。     

计算机维修模拟训练系统的设计与实现

探索了一种在多媒体环境下进行计算机及外部设备维修教学、训练的新方法 ,介绍了计算机维修模拟训练系统的设计与实现 ,给出了主要的设计思想、总体结构及关键技术。     

日本女作家吉屋信子的上海表象:以现地报告《战祸的北支上海行》为主线

针对抗日战争时期日本媒体的战争责任的问题,文章以活跃于大正和昭和年间的日本大众女作家吉屋信子各时期文学作品中的上海表象为线索,以吉屋的现地报告《战祸的北支上海行》为关注的焦点,分析了吉屋文学世界里所凝视的上海表象是“虚伪错误”的,而她提倡的中日两国通力合作的“共同幻想”也只是空洞的现实认识的记录而已.随着此种幻想的不断扩张,日本大众对已有一定倾向性的“上海负面形象”的认识也得以进一步的扩大.     

装甲车车身自动调平系统原理及算法设计

为了提高6点装甲车辆调平的快速性和稳定性,根据装甲车结构,考虑响应时间、速度和可靠性等综合因素,将车身系统由6点调平系统等效为4点调平系统。利用相应的角度和压力传感器检测车架的水平状态,以确定油气簧的动作量。采用双速调整的方法计算比例阀门的开启大小及时间,运用西门子控制器实现对调平系统的控制。试验结果表明,该系统具有较高的快速性和稳定性。     

“以赛促能”实践教学模式的分析研究

提出了将学科竞赛融入“以赛促能”的实践教学模式,对该模式的特点进行了分析总结.该模式具有综合性、协作性、过程性、独立性、创新性和竞争性等特点,能够提高学生综合运用多种知识的能力、团队协作能力、实践动手能力、独立学习能力、创新思维能力,提高学生的心理素质,对提高教师水平、促进教学改革、形成优良学风也有积极作用.