离散混沌系统类随机性的符号熵分析法

采用符号熵分析法,分析和讨论了经典的Logistic映射和Henon映射的类随机性强弱.先将离散混沌系统产生的实数序列转化为二进制序列,然后进行编码,计算其符号熵,绘制其符号熵图,并深入讨论了系统参数和初始值对符号熵的影响.数值仿真分析表明,符号熵法能定量区别不同离散混沌系统类随机性的强弱.同时作为随机源,Logistic映射比Henon映射好.     

A learning classifier system for mazes with aliasing clones

Maze problems represent a simplified virtual model of the real environment and can be used for developing core algorithms of many real-world application related to the problem of navigation. Learning Classifier Systems (LCS) are the most widely used class of algorithms for reinforcement learning in mazes. However, LCSs best achievements in maze problems are still mostly bounded to non-aliasing environments, while LCS complexity seems to obstruct a proper analysis of the reasons for failure. Moreover, there is a lack of knowledge of what makes a maze problem hard to solve by a learning agent. To overcome this restriction we try to improve our understanding of the nature and structure of maze environments. In this paper we describe a new LCS agent that has a simpler and more transparent performance mechanism. We use the structure of a predictive LCS model, strip out the evolutionary mechanism, simplify the reinforcement learning procedure and equip the agent with the ability to Associative Perception, adopted from psychology. We then assess the new LCS with Associative Perception on an extensive set of mazes and analyse the results to discover which features of the environments play the most significant role in the learning process. We identify a particularly hard feature for learning in mazes, aliasing clones, which arise when groups of aliasing cells occur in similar patterns in different parts of the maze. We discuss the impact of aliasing clones and other types of aliasing on learning algorithms.     

Discrimination of visual and haptic rendering delays in networked environments

Many networked human-machine interface systems have a distributed structure for certain purposes such as more computational power, tele-presence, collaboration, and portability. However, network delays are inevitable in the distributed structure, and often make sensory information delivered behind time to the user. In the literature, the effect of network delays on the quality of information presentation has been considered with respect to task performances in most cases. In this paper, we pay attention to a more stringent criterion, namely whether perceptual artifacts caused by network delays are perceptible by the user. We examined minimum perceptible visual and/or haptic rendering delays by measuring their discrimination thresholds between normal and delayed virtual environments with and without a task, and report the results in this paper. We also provide a simple guideline for determining whether active delay compensation algorithms are required in a networked human-machine interface system by comparing representative network delays to the measured discrimination thresholds. Recommended by Guest Editor Phill Kyu Rhee. This work was supported in parts by a grant R01-2006-000-10808-0 and a NRL grant R0A-2008-000-20087-0 both from KOSEF and by a ITRC support program C1090-0804-0002 from IITA, all funded by the Korea government. In Lee is a Ph.D student in Computer Science and Engineering at POSTECH, of Korea. He received the B.S. degree in Information and Communication Engineering from Sungkyunkwan University in 2006. His research interests include haptics, virtual reality, and human-computer interaction. Seungmoon Choi is an Assistant Professor in Computer Science and engineering at POSTECH, Korea. He received the B.S. and M.S. degrees in Control and Instrumentation Engineering from Seoul National University in 1995 and 1997, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2003. His research areas include haptics, virtual reality, data perceptualization, and applied perception.     

标志图形符号化表现特征的分析

论述了标志图形符号化表现形式,并且运用符号能指和所指的基本原理将标志图形的视觉符号进行解构和分析,以此凸显符号在标志图形设计中的重要性,旨在更准确地运用其相关原理进行标志设计。     

产品的造型语言及其符号分析

造型因素作为传达各种信息的符号,构成了现代设计中的产品语言。本文从产品的造型语言角度对其符号进行分析,包括造型语言的符号构成,符号传达及其符号应用等内容。把握好造型语言的运用和符号的表现能实现产品与生活、产品与人做更加贴近、更富感情的对话。     

从符号学角度看色彩设计

孤立地研究色彩的属性,经常会导致认识上的片面性。本文从符号学角度出发。通过色彩的形式、功能、象征三个层次对色彩设计进行探讨,以对色彩设计有个更深的理解和把握。     

浅谈歌特式教堂的建筑语汇

截取欧洲建筑中最具有历史代表及建筑文化特色的歌特式教堂,从它的建筑符号中提取出最有代表的几个元素,分析它们所暗含的建筑语汇。这些具有特色的建筑符号传递了歌特建筑的历史,文化及宗教背景,那么,我们也要对其做出一定的分析,发现这些建筑语汇中值得肯定和吸取的地方,来丰富我们的现代建筑设计文化。     

解读幽默化产品设计中的语义符号

幽默产品和幽默语言、动作、漫画等一样能使人在心理上达到一种愉悦状态,因此,幽默化产品的特征与汉语中的幽默语义在本质上是相同的。本文从幽默一词的语义入手,总结幽默语言的特征和技巧,然后把这些特征应用于幽默产品,借助语言学、文学和心理学等方面的知识,总结幽默产品之所以幽默的语义特征。     

感性消费需求下的设计艺术

科技进步带来丰盛的商品,我们的生活方式、消费需求发生极大转变,社会进入感性消费时代,本文论述了消费心理变化的主观和客观因素,探索感性消费需求心理变化趋势,呼吁企业和设计师关注消费需求的变化,探索感性消费需求下的个性化设计艺术。     

基于身份感知模型的素描人脸识别方法

针对素描图像和光学图像之间存在较大的模态差异这一问题,提出了一种基于身份感知模型的素描人脸识别方法,实现跨模态图像生成和素描人脸识别。该方法应用新的感知损失来监督图像生成网络,生成更好的跨模态图像,减少模态差异带来的识别精度损失,并通过三元组损失来正则化类内和类间距离,增强识别模型的性能,用联合训练策略提升素描人脸识别能力。在UoM-SGFSv2、e-PRIP等素描人脸数据集上的实验结果表明,该方法识别效果优于其他对比算法。