2008年两岸PCB产业预估

一、前言 1．雨岸PCB产业在全球PCB产业中所扮演的角色 全球PCB产值2008年,估计可达到45,708百万美元,大陆占全球产值28％。大陆2006年成功取代日本,成为全球第一大生产国后,并持续的成长。目前全球主要PCB生产国,除了大陆外,其它各国的比重皆呈现衰退,近五年各国占全球PCB产业比重变化,详见图1。     

全球PCB产业发展近况

文章介绍了全球PCB产业发展近况,主要包括世界各地区PCB的产值、市场占有率、全球顶尖PCB制造企业现状和未来发展机会。     

2006年全球PCB产业概况

文章介绍了2006年全球PCB产业状况,主要包括世界各地区PCB的产值、全球市场占有率、增长率、顶尖PCB制造企业和未来发展机会。     

2008苏州电路板展览会：弘扬绿色理念 促进产业繁荣

2006年中国PCB产值首次超越日本,成为全球第一大PCB生产国： 近几年,中国PCB市场的成长速度稳居全球首位; 专家预计今年中国电路板产业产值将占全球总产值的28％; 中国正逐步成为全球PCB产品重要的生产和消费市场,潜力巨大……     

虎年岁末全球线路板市场分析

1 2009年全球线路板市场概述IPC在2010年10月出版了2009年度全球PCB市场报告。根据IPC全球市场共识委员会提供的美元数值估计,2009年全球PCB产值统计为442.2亿美元左右,2009年全球的PCB产值     

2008全球线路板市场及其未来发展

介绍2008年全球PCB工业的概况，预测2009年后的全球PCB市场的发展。概述了各国家／地区（包括中国大陆、日本、中国台湾、韩国、北美、欧洲）的PCB工业市场发展状况，微孔板和汽车PCB市场持续增长，所占比重越来越大。     

刚性印制板

欣兴蹿升全球PCB厂亚军；主板用PCB今年将有好的表现；台系手机板厂商一季度销售大跌；瀚宇博德、金像将分食全球八成NB用PCB市场；PCB厂两岸扩产能争夺HDI领域；花旗下调全懋精密和南亚电路板评级.     

全球PCB产业和顶尖PCB企业现状分析(2011)

主要分析了目前全球各国家/地区PCB的产值、市场占有率、全球顶尖PCB企业名单、运营现状和未来发展机会。     

全球PCB产业和顶尖PCB企业现状分析(2010)

文章主要分析了目前全球各国家/地区PCB的产值、市场占有率、全球顶尖PCB企业名单、运营现状和未来发展机会。     

全球PCB产业和顶尖PCB企业现状分析（2013）

主要分析了目前全球各国家/地区PCB的产值、市场占有率、全球顶尖PCB企业排名、运营现状和未来发展机会。     

一种快速全局运动补偿编码方法

全局运动补偿编码是一种基于模型的编码方法,它可以提高编码效率,但是目前由于全局运动补偿编码中的一些关键技术(全局运动估计)的计算量比较大,所以使得全局运动补偿编码还不能在实时应用中得到很好应用.本文就针对全局运动补偿编码中核心技术进行研究,提出快速全局运动补偿编码算法,解决全局运动补偿实时编码问题.通过和MPEG-4中已有的全局运动补偿编码方法实验比较可以看到本文提出的快速全局运动补偿编码方法在保证编码效率的同时编码速度得到了很大提高.     

基于堆叠交叉注意力的图像文本跨模态匹配方法

图像文本跨模态匹配是计算机视觉与自然语言处理交叉领域的一项重要任务,然而传统的图像文本跨模态匹配方法要么只考虑到全局图像与全局文本匹配,要么只考虑到局部图像与局部文本匹配,无法全面有效的考虑局部和全局信息,导致提取出来的特征信息不完善.或者只是简单的对全局图像与全局文本特征进行提取,局部细节信息无法凸显,导致全局特征无...     

Interactive information module for person re-identification

In person re-identification (Re-ID) task, multi-branch networks acquire better performance by combining global features and local features. Obviously, local branch can obtain detailed information of person pictures but may work on invalid regions when person pictures have imprecise bounding boxes. On the contrary, global branch can be aware of the position of person but hard to acquire detailed information of person pictures. Meanwhile, lots of multi-branch networks ignore mutual information among different branches. Therefore, it is necessary to enhance interaction of global branch and local branch. For this purpose, we propose Interactive Information Module (IIM). IIM includes two components named Global-map Attention Module (GAM) and Labeled-class Mutual Learning (LML), respectively. GAM leverages heatmaps generated by global branch to guide calculation of local attention and obtains a composite global feature by combining local features. GAM relys more on the performance of global branch which decides the quality of heatmaps. To improve performance of global branch, we propose LML to promote convergent rate of global branch. Extensive experiments implemented on Market-1501, DukeMTMC-ReID, and CUHK03-NP datasets confirm that our method achieves state-of-the-art results.     

A global optimization method for quasi-optics power combiner

This paper describes an algorithm which can determine a neighborhood of the global optimum of an objective function and an estimate of the global optimum. This method wasemployed to determine global optimum of the fundamental mode power, the fractional power of the fundamental mode and the combining efficiency. Given this information, a local optimization procedure can be employed to local the global optimum.     

基于变尺度寻优和遗传搜索技术的模糊神经网络全局学习算法

本文给出了一种改进的拟牛顿算法与具有新型交配方式和可变变异概率的遗传算法相结合的全局寻优算法，用以搜索模糊神经网络误差函数的全局量小点。     

Global optimization method in millimeter wave combiner

This paper describes an algorithm which can determine the global optima of the power combiner of solid-state millimeter wave resonator. The global optimization mehtod can determine a neighborhood of the global optima of an objective function and an estimation of the global optima. In this paper the objective function as follow: In the quasi-optical resonator, the objective function are the fundamental mode power, the fractional power of fundamental mode and the combining dfficiecy were done the objective functiona respectively, to calculate the global optima respectively. In the power combiner of solid-state millimeter wave source in rectangular waveguide cavity. the performance parameter are presentes by combining efficiency, tuning range, frequency drift, and FM noise were done the objective functions respectively. And to calculate the global optima respectively.     

Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays

This brief studies the global asymptotic stability and the global exponential stability of neural networks with unbounded time-varying delays and with bounded and Lipschitz continuous activation functions. Several sufficient conditions for the global exponential stability and global asymptotic stability of such neural networks are derived. The new results given in the brief extend the existing relevant stability results in the literature to cover more general neural networks.     

基于粒子群算法的码书设计研究

在基于粒子群算法码书设计研究中,提出采用随机概率扰动的方式作为基本粒子群算法的全局极值更新条件,从而增加全局最优区域的搜索能力,避免了粒子过早的“趋同性”。     

Implementing virtual platform for global‐scale cyber physical system networks

The need for global‐scale cyber physical system (CPS) is increasing with the evolution of CPS research. A global‐scale CPS requires additional considerations beyond the well‐known CPS requirements, such as security, reliability, and timely delivery, which cannot be easily satisfied when a CPS becomes global scale. Building an entire dedicated network for a global‐scale CPS cannot be a solution, because it requires a large capital outlay in order to be actualized. To overcome these obstacles, we implement a virtual platform named Xebra that includes effective CPS middleware for realizing a global‐scale CPS and isolation techniques based on virtualization. In this paper, we discuss the requirements for realizing global‐scale CPS network, and also, we introduce our implementation as a virtual platform with its performance evaluation. Copyright © 2014 John Wiley & Sons, Ltd.     

Combinatorial discriminant analysis: supervised feature extraction that integrates global and local criteria

Supervised feature extraction (SFE) algorithms can be divided into two categories: those optimised by global criteria and those optimised by local ones. Proposed is a new approach designed by integrating global and local criteria, namely, combinatorial discriminant analysis (CDA), to perform SFE. It is shown that CDA inherits both the robustness of global criteria and the flexibility of local ones. Experimental comparisons with typical global and local SFE algorithms on real-world datasets empirically justify the superiority of CDA.