基于探针法的FED电极缺陷检测系统设计

针对FED显示屏电极的特征,提出一种FED电极缺陷检测系统,用于检测FED电极的短路和断路等缺陷。系统分为硬件和软件两部分,硬件部分由CCD摄像头初始定位和对准模块、单片机数据测试和传输模块、计算机数据接收和处理模块组成;软件部分包括单片机预处理部分的底层程序设计和计算机部分面向对象的高级程序设计。经过硬件设计安装和软件编程调试,该FED电极缺陷检测系统已经在实验中得到应用。     

Simple lab-on-chip approach with time-based detection

A simple lab-on-chip approach with time-based detection is proposed. A platform is made from a piece of acrylic differently shaped channels for introducing sample and reagent(s) using flow manipulation. Time-based changes involving migration of the reaction zone are monitored. The changes can be visually monitored by using a stop-watch with naked eyes observation. Some applications for the determination of ascorbic acid, acetic acid and iron in real samples with different chemistries were demonstrated.     

Direct visual detection of DNA based on the light scattering of silica nanoparticles on a human papillomavirus DNA chip

A detection system for a human papillomavirus (HPV) DNA chip based on the light scattering of aggregated silica nanoparticle probes is presented. In the assay, a target HPV DNA is sandwiched between the capture DNA immobilized on the chip and the probe DNA immobilized on the plain silica nanoparticle. The spot where the sandwich reaction occurs appears bright white and is readily distinguishable to the naked eye. Scanning electron microscopy images clearly show the aggregation of the silica nanoparticle probes. When three different sized (55 nm, 137 nm, 286 nm) plain silica nanoparticles were compared, probes of the larger silica nanoparticles showed a higher scattering intensity. Using 286-nm silica nanoparticles, the spots obtained with 200 pM of target DNA were visually detectable. The demonstrated capability to detect a disease related target DNA with direct visualization without using a complex detection instrument provides the prerequisite for the development of portable testing kits for genotyping.     

软件行业质量保证与MECE原则结合的实践

基于MECE“相互独立,完全穷尽”原则,对质量保证(QA)工作中的问题进行分析,并建立逻辑分析树,将历史积累的QA问题从过程监控角度分出五大类以度量分析,从而帮助QA确立质量管理活动中相对的优先级,有利于QA更加有针对性地采取措施进行质量保证过程的监察和纠正.     

LTCC叠片机视觉识别定位系统

基于视觉识别系统和精密运动平台在叠片机精密定位中的典型应用,详细阐述了视觉识别和精密定位平台系统设计原理和硬件选型理由.重点对视觉识别系统中基准点设计及其对精度的影响进行分析,提出了四组梅花图形基准点设计方案,提高识别定位精度,实现了高精度叠片.     

新一代气象雷达显示系统的设计与实现

新一代多普勒气象雷达是目前监测短时强对流天气的主要设备之一,为方便分析和应用多普勒雷达资料,提高现有多普勒雷达数据处理系统软件的能力,文章设计开发基于谷歌地球二次开发接口（GoogleEarthAPI）的新一代气象雷达产品显示系统软件。该显示系统不仅能实时全方位地浏览雷达产品,而且具有丰富的三维空间信息,为天气预警和预报提供有效的支持,为新一代气象雷达产品显示开发提供新的思路。     

Discussion

This article proposes a new hybrid visualization technique that integrates a frequency-based model and a generalized parallel coordinate plot (GPCP), thus mitigating the visual cluttering of GPCP. In the new technique, a GPCP’s profile lines (or curves) with similar frequencies are detected and saturated with appropriate color intensity corresponding to the frequencies. The technique may be employed to enhance a family of visualization tools—the Andrews plot and scatterplot matrix, for example. In addition to the new technique’s efficiency in reducing visual clutter in the multivariate data visualization techniques, it is computationally feasible, easy to implement, and has important mathematical and statistical properties. The reliability and accuracy of the technique are demonstrated through extensive experiments on challenging datasets, both simulated and real. These datasets are high in dimensions and large so that they cannot be explored with GPCP or frequency-based techniques alone.

The datasets for pollen, OUT5D, and California housing are available in the online supplements.     

Incrementing visual cryptography using random grids

Visual cryptography (VC) is an image-based secret protection mechanism in which the decoding process is conducted by inspecting the stacked shares with the unaided eye. In traditional VC schemes, the content of an image is usually processed as a single secret, which limits the whole image to unique secret property. Recently, Wang ( IEEE SPL, 16(2009) 659-663) proposed an n-level region incrementing VC scheme which has the ability of incremental revealing of the secrets on an image; however, the pixel expansion of the generated shares increases rapidly in the proposed scheme as n grows. In this paper, we propose an incrementing VC scheme using random grids. The method has the same incremental revealing effect to the secrets on an image, and the size of each share is the same as that of the original image without any expansion. The smaller size of shares makes their further processing such as storage and/or printing out more efficient.     

Fast reciprocal nearest neighbors clustering

This paper presents a novel approach for accelerating the popular reciprocal nearest neighbors (RNN) clustering algorithm, i.e. the fast-RNN. We speed up the nearest neighbor chains construction via a novel dynamic slicing strategy for the projection search paradigm. We detail an efficient implementation of the clustering algorithm along with a novel data structure, and present extensive experimental results that illustrate the excellent performance of fast-RNN in low- and high-dimensional spaces. A C++ implementation has been made publicly available.