招贴设计“硬要素”与“软要素”的解析与构建

一张优秀的招贴设计,包含了"硬要素"即具象要素与"软要素"即抽象要素之间和谐构建的关系,解析其视觉语言对于探索招贴的视觉语义具有重要意义。文章着重从以下三方面来解析招贴的视觉语言:1.招贴设计的"硬要素"解析并探索其基础性作用;2.招贴设计的"软要素"分析并研究其主观能动性拓展;3.招贴设计"硬要素"与"软要素"的和谐处理并构建其整合的视觉语义,打造"形神兼备"的优秀招贴设计作品。     

Soft groups and normalistic soft groups

Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainties. In this paper, first we correct some of the problematic cases in a previous paper by Akta? and Çag˜man [H. Akta?, N. Çag˜man, Soft sets and soft groups, Inf. Sci. 177 (2007) 2726-2735]. Moreover, we introduce the concepts of normalistic soft group and normalistic soft group homomorphism, study their several related properties, and investigate some structures that are preserved under normalistic soft group homomorphisms.     

Soft polygroups

Soft set theory, introduced by Molodtsov, has been considered as an effective mathematical tool for modeling uncertainties. In this paper, we initiate the study of algebraic hyperstructures of soft sets. The concepts of soft polygroups, normal soft polygroups, soft subpolygroups and normal soft subpolygroups are introduced, and some related properties are investigated. Furthermore, we propose the homomorphism and isomorphism of soft polygroups, and establish three isomorphism theorems for soft polygroups.     

Catching two rabbits: adaptive real‐time support for embedded Linux

The trend of digital convergence makes multitasking common in many digital electronic products. Some applications in those systems have inherent real‐time properties, while many others have few or no timeliness requirements. Therefore the embedded Linux kernels, which are widely used in those devices, provide real‐time features in many forms. However, providing real‐time scheduling usually induces throughput degradation in heavy multitasking due to the increased context switches. Usually the throughput degradation becomes a critical problem, since the performance of the embedded processors is generally limited for cost, design and energy efficiency reasons. This paper proposes schemes to lessen the throughput degradation, which is from real‐time scheduling, by suppressing unnecessary context switches and applying real‐time scheduling mechanisms only when it is necessary. Also the suggested schemes enable the complete priority inheritance protocol to prevent the well‐known priority inversion problem. We evaluated the effectiveness of our approach with open‐source benchmarks. By using the suggested schemes, the throughput is improved while the scheduling latency is kept same or better in comparison with the existing approaches. Copyright © 2008 John Wiley & Sons, Ltd.     

一种基于鲁棒局部纹理特征的背景差分方法

针对复杂场景下运动目标的精确检测这一问题,提出一种对噪声鲁棒并具备灰度尺度不变性的局部纹理特征描述子LBP_Center,将其与像素的颜色信息结合应用于背景建模中,采用随机抽样的机制更新模型,同时引入背景复杂度以去除多模态动态背景产生的噪点。在标准测试数据集上的实验结果表明,该算法对柔性阴影及光照缓慢变化具备良好的鲁棒性,综合性能更优。     

软分离性的进一步研究

给出软Urysohn空间和软T5空间的定义,解释了相关文献中Shabir和Naz提出的例10是错误的,并且给出了注5的一个正确的例子,给出几种软分离性之间的关系。     

Facial hexahedral mesh transferring by volumetric mapping based on harmonic fields

Hexahedral mesh has obvious mechanical advantages over tetrahedral mesh, but it is no trivial task to generate hexahedral mesh for complex object shapes such as individual faces. This paper presents a novel method to generate patient-specific hexahedral meshes of facial soft tissue models, based on a volumetric cross-parameterization mapping from a standard hexahedral mesh to the individual model. The volumetric parameterization is constructed based on triple of the volumetric harmonic fields, which are adapted to be as close to mutually orthogonal as possible, to achieve some quasi-conformal effect. In addition, some piecewise constraints on the harmonic fields are added to ensure anatomical feature correspondence. Experimental results show that our approach works efficiently for facial soft tissue modeling, avoids element flipping and preserves mesh element angles to a significant extent.     

RMPCT技术在连续重整装置上的应用

催化连续重整是石油加工中极其重要的工艺过程。由于反应复杂,过程变量多,变量之间耦合严重,存在许多重要不易测量变量,使过程控制难度大,采用常规的PID单回路控制有很大的局限性。多变量模型预估控制MPC是石油化工生产中广泛应用的1种先进控制策略。霍尼韦尔公司在MPC的基础上开发出了鲁棒多变量模型预测控制技术RMPCT。将R...     

改进的局部保持投影算法的多模型软测量

针对化工生产过程中软测量模型估计精度的问题,提出一种基于改进的局部保持投影算法的多模型建模方法。该方法通过有监督自适应权值的局部保持投影算法对输入数据空间进行特征提取,并结合最近邻分类器算法进行输入空间的划分,最后融合支持向量机实现多模型建模。仿真应用结果表明:将改进的局部保持投影算法应用在UCI数据库的Iris数据集的分类中,其分类精度高于基本的局部保持投影算法的分类精度;同时将改进的局部保持投影算法的多模型建模方法应用于双酚A生产的软测量多模型建模中,该方法能够有效的进行输入空间地划分,构建回归模型的数据更加合理,使得模型估计精度得到了提高,并具有更强的泛化能力。     

多变量系统的软测量建模研究

研究加氢裂化分馏塔多个产品的质量指标同时预报的一类ＭＩＭＯ软测量建模问题,采用ＲＢＦ网络和Ｆｕｚｚｙ ＡＲＴＭＡＰ网络对该ＭＩＭＯ系统进行建模,并用ＲＢＦ网络建立了每个输出的独立的ＭＩＳＯ软测量模型。应用实例表明,所研究的软测量建模为多变量系统软件测量的工业应用提供了一种有效实用的方法。