基于罚函数的解析目标分流法计算特性分析

为了在复杂产品早期开发阶段更好的使用解析目标分流法(ATC),分析了基于不同罚函数的ATC方法的计算特性.给出了ATC方法的一般公式,比较了3种ATC方法的优缺点,以常用的几何规划算例为例,研究了初值、初始罚参数、收敛准则等因素对计算精度和计算花费的影响.计算结果表明,ATC是一种稳定性好、计算效率高的多学科设计优化(MDO)方法,并且基于增广拉格拉日函数的ATC方法的总体性能比其它两种方法要好一些.     

单磁悬浮系统的纵向解耦控制研究

磁悬浮系统是复杂的强耦合系统,研究中未充分考虑轨道的弹性形变,会造成磁浮列车和轨道之间产生耦合振动的现象,而考虑这一因素对系统的影响无疑增加了研究的难度;为了便于问题的求解,采用非线性系统理论解耦的方法,对单电磁铁悬浮系统进行纵向解耦控制,并对解耦后的子系统进行极点配置使其满足要求的性能指标;仿真结果表明该方法有效地使复杂问题简单化,并且能够实现系统的全局稳定和良好的动态性能.     

一种可行的可用性测试过程

文章综述用户模型法、用户调查法、专家评审法和观察法4类可用性测试方法,根据可用性测试的经验,总结出一套合理实用的可用性测试过程,使得可用性测试的效率高、代价低,尽可能发现更多的可用性问题;提出在程序设计类课程的教学中,应适当向学生介绍可用性测试的方法和过程,以培养学生对自己开发的软件系统进行可用性测试的能力。     

浅谈漆画的艺术魅力

在中国几千年传统髹漆的土壤中,现代漆画以它蕴涵历史的营养及现代雨露,以它传统工艺与时代理念相融会,成为盛开在现代美术园地的一枝奇葩。它一出现就以它独特的艺术魅力打动和感染着人们,它沉着的色调优美的光泽,晶莹的通透,材质的肌理美,加之作者艺术理念的贯通,材料的相宜使用,技法及工艺的表现,就使漆画产生了厚重古朴,优雅瑰丽,奇趣妙意,鬼斧神工之艺术美的感染力。     

Solving single-product economic lot-sizing problem with non-increasing setup cost,constant capacity and convex inventory cost in O(N log N) time

This paper considers an economic lot sizing model with constant capacity, non-increasing setup cost, and convex inventory cost function. Algorithms with computational time of O(N×TD_N)have been developed for solving the model, where N is the number of planning periods and TD_N is the total demand. This study partially characterizes the optimal planning structure of the model. A new efficient algorithm with computational time of O(N log N) has also been developed based on the partial optimal structure. Moreover, computational study demonstrates that the new algorithm is efficient.     

A blind watermarking method using maximum wavelet coefficient quantization

This paper proposes a blind watermarking algorithm based on maximum wavelet coefficient quantization for copyright protection. The wavelet coefficients are grouped into different block size and blocks are randomly selected from different subbands. We add different energies to the maximum wavelet coefficient under the constraint that the maximum wavelet coefficient is always maximum in a block. The watermark is embedded the local maximum coefficient which can effectively resist attacks. Also, using the block-based watermarking, we can extract the watermark without using the original image or watermark. Experimental results show that the proposed method is quite robust under either non-geometry or geometry attacks.     

Efficient identity-based online/offline encryption and signcryption with short ciphertext

The technique of online/offline is regarded as a promising approach to speed up the computation of encryption, because the most part of computation, such as pairing over points on elliptic curve and exponentiation in groups, can be pre-computed in the offline phase without knowing the message to be encrypted and/or recipient’s identity. The online phase only requires light computation, such as modular multiplication. In this paper, we propose two novel identity-based online/offline schemes: a full secure identity-based online/offline encryption scheme and an identity-based online/offline signcryption scheme. Compared to the other schemes in the literature, our schemes achieve the shortest ciphertext size in both offline and online phases and demonstrate the best performance in offline computation. Our schemes are applicable to devices with limited computation power. They are proven secure in the random oracle model.     

Optimization for limited angle tomography in medical image processing

This paper aims to reduce the problems of incomplete data in computed tomography, which happens frequently in medical image process and analysis, e.g., when the high-density region of objects can only be penetrated by X-rays at a limited angular range. As the projection data are available only in an angular range, the incomplete data problem can be attributed to the limited angle problem, which is an ill-posed inverse problem. Image reconstruction based on total variation (TV) reduces the problem and gives better performance on edge-preserving reconstruction; however, the artificial parameter can only be determined through considerable experimentation. In this paper, an effective TV objective function is proposed to reduce the inverse problem in the limited angle tomography. This novel objective function provides a robust and effective reconstruction without any artificial parameter in the iterative processes, using the TV as a multiplicative constraint. The results demonstrate that this reconstruction strategy outperforms some previous ones.