基因理论下品牌识别的整合性设计

品牌识别设计应该以品牌基因为主导进行设计概念、设计方法、设计管理的整合性设计变革。本文通过以基因理论作为方法论的启发,根据品牌基因在品牌识别设计中的作用符合关于准确性,一致性,生长性和系统性的要求,提出了基于品牌基因的品牌识别的整合性设计方法。并对如何实施这一方法进行了详尽的实例说明和分析。     

品牌视觉识别VI的标志设计

现代企业发展离不开对自身的宣传,企业品牌视觉识别VI设计是企业识别的静态表现,对宣传企业起到了至关重要的作用。企业标志是企业品牌视觉识别VI设计的核心内容。本文首先分析了企业品牌和标志设计的基本内容,在此基础上进一步探讨了视觉识别VI设计的基本原则。最后通过对华为公司企业标志的设计进行了实例分析,验证了本文所研究方法的有效性。     

基于VC与MATLAB的声目标识别系统设计

鉴于声目标识别在民用和军用方面的广泛应用,对声目标进行识别已成为模式识别领域中的研究热点之一.使用小波分析实现对声信号的消噪处理,采用小波包能量特征提取方法获得目标声信号的特征向量,分类器设计采用支持向量机的模式识别方法,对声目标识别系统的组成、功能结构和框架结构进行了设计,同时介绍了系统数据库设计的要求和方法,并给出了基于VC与MATLAB联合编程的声目标识别系统中的主要算法及实现程序.仿真实验表明,系统能有效地对声目标进行分类识别.     

基于视频的车型特征提取及识别方法研究

基于模式识别方法进行车辆识别的关键是车型特征的提取以及分类器的设计。针对车辆的轮廓、车长、车高、面积和轴距等几何特征较难精确获得问题,设计了将含有较多有效信息的车辆图像灰度矩阵作为车辆描述特征,并通过基于PCA-LDA相结合的二次特征提取方法进行车辆识别特征的优化;分类器设计采用支持向量分类方法,根据＂一对一＂策略构造了三类车型分类器,并采用KNN方法进一步提高了SVM子分类器的分类准确率。最后对设计的方法进行了实验分析,结果表明本方法具有较好的识别效率。     

基于计算机视觉的表情识别技术综述

介绍了基于计算机视觉的表情识别的定义、应用前景和困难所在；阐述了表情识别的步骤，并比较了与人脸识别的异同；重点按照不同的特征提取和分类器设计方法对表情识别技术进行了综述。介绍了几何特征、统计特征、频率域特征和运动特征的提取方法及线性、神经网络、支持向量机分类器的设计和选择方法，并进行了简单的分析和比较；最后展望了表情识别的发展方向。     

汉字联机手写识别系统的设计与实现

针对嵌入式手写识别系统存在识别率低、识别速率慢的缺点.研究了一种汉字联机手写识别的改进算法.首先从理论上介绍并分析了弹性网格识别算法和笔顺识别算法,接着将两种识别算法的优点进行有机组合,采用最小二乘法对输入的笔划进行线性拟合.算法在嵌入式linux下进行仿真设计并得到了实现,通过对仿真结果的分析,证明了结合后的改进算法达到了提高手写识别率和识别速率.所采用的方法对汉字手写体识别的研究有一定的借鉴和指导作用.     

PXI通用测试系统中适配器自识别技术研究

针对采用调理箱-适配器体系的PXI自动测试系统多种适配器并存,实际使用中连接错误有可能导致严重后果的问题,使用在适配器和测试软件中增加识别电路和识别程序的方法来解决这个问题;提出了识别电路和识别程序的设计原则,总结了常用的3种适配器标识方法,并详细描述了采用识别芯片进行识别的方法,对各种识别方法进行了分析比较,着重指出了提高识别系统可靠性的方法;应用结果表明,这些方法能够在不同场合满足对适配器的鉴别需求,有效防止了人为失误引起的设备损坏,提高了自动测试系统整体的可靠性。     

传统与现代的视觉传递——谈古城中高新区的视觉识别设计

视觉识别设计是凭借视觉性符号和语言进行信息传递的设计。[1]目前很多城市高新区的视觉识别设计不够完善,笔者通过对古城中的高新区的视觉识别设计进行多方面的分析,思考古城高新区的视觉识别系统的发展方向,试图探索出具有传统地域特色的现代视觉识别设计。     

基于视频的烟雾检测预警系统在森林防火系统中的应用

运用数字图像处理技术,提出利用烟雾来识别森林火灾的思想,给出森林烟雾监测预警系统的设计方法。该方法对获取到的图像进行处理,处理后再提取可疑区域并对可疑区域火灾发生时烟雾的特征进行识别,主要包括烟雾的背景模糊度特征和扩散性特征,针对烟雾的这些特征设计了相应的检测算法,实现对视频中的烟雾图像的提取、检测并自动报警。分析结果表明,结合烟雾特征设计的烟雾检测预警系统具有较好的识别效果,在森林防火预警中有很强的实用性。     

哈萨克语IT领域术语识别研究与实现

该文阐述了基于统计方法进行哈萨克语IT领域术语识别的研究,并在已有的训练语料基础之上,采用最大熵模型进行标注识别和结合人工方式对错误识别结果进行后处理的分析实验,阐述了该平台的研究和设计思路,系统的总体框架、基本结构、功能模块以及实现方法等相关的问题。实验结果显示该方法识别哈萨克语IT领域术语是有效的,封闭测试结果达到了82.6%。
     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.