Feature tracking for projection registration in laboratory-scale reflective tomography laser radar imaging

In range-resolved reflective tomography laser radar imaging system, for accurate image reconstruction, all projections must be aligned to the center of target rotation. Due to the unknown location of the axis of rotation and random target translation, the center of target rotation in each projection cannot be measured accurately and images reconstructed based on range-resolved projections without registration would be dislocated. Here, we apply a feature tracking method to align projections data for tomographic reconstruction in laboratory-scale laser radar imaging. The target was placed on a spin table with an unknown and fixed axis, and the oscillatory motion of the target translation was simulated by a second order inertia filter to accord with the real satellites vibrations. The experimental simulation results demonstrate the effectiveness of this method to improve images reconstruction equality. The application of this method to actual radar imaging in remote distance was discussed and the differences were compared with the lab setups.     

一种菲涅尔全息图的快速算法

通过分析菲涅尔全息图计算模型,发现大量的平方运算和三角函数运算是计算速度的瓶颈,提出了一种菲涅尔全息图的快速计算方法.根据菲涅尔全息图的数学模型,利用三角函数的和差化积公式,将全息图的数学模型变换为由仅与水平或垂直方向有关的独立分量,通过四则运算来表示.在菲涅尔全息图的计算中,用少量的三角函数、平方运算和大量的四则运算代替原来大量的三角函数和平方运算,减少了全息图的运算量.实验表明,采用该算法后全息图的计算速度提高了9倍以上.     

图像处理技术在低逸出功印刷型FED中的应用

采用低成本、大面积、低逸出功FED阴极材料及其阴极浆料,研制了大面积印刷式FED(样机),具有自主知识产权,在国内外属首创。介绍了低逸出功可印刷型场致发射显示系统的工作原理、数字视频图像的转换和处理、视频数据的传输、列灰度驱动和行驱动集成电路以及FPGA控制技术等。为了改善场致发射显示器的显示效果,通过理论分析和实际验证提出了亮度非均匀性校正、γ校正、自动功率控制等相应的解决方案。将图像处理技术应用到驱动电路中,改善了图像的亮度均匀性和灰度再现质量,降低了整机的功耗。首次将本技术应用于大屏幕低逸出功印刷型63.5cm(25英寸)VGA级彩色FED驱动系统中,研制出了能显示彩色视频图像的彩色FED显示器样机。亮度达400cd/m2、对比度为1000∶1,电路灰度等级为256级。     

电路参数对外电极气体放电过程影响的计算机分析

本文通过对外电极气体放电物理过程的计算机模拟,研究了一些主要电学参量(包括电源电压、外电路阻抗、介质层电容和介质层上的壁电荷等)对放电过程的影响.文中给出了关于放电电流、辐射亮度和电功损耗等项放电特性随外电路阻抗变化的一维数值分析实例.     

Quantum Dots for Display Applications

This article offers a materials-chemistry perspective for colloidal quantum dots (QDs) in the field of display, including QD-enhanced liquid-crystal-display (QD-LCD) and QD-based light-emitting-diodes (QLEDs) display. The rapid successes of QDs for display in the past five years are not accidental but have a deep root in both maturity of their synthetic chemistry and their unique chemical, optical, and optoelectronic properties. This article intends to discuss the natural match of QD emitters for display and chemical means to eventually bring about their full potential.     

Structural Insights into the Design of Synthetic Nanobody Libraries

Single domain antibodies from camelids, or nanobodies, are a unique class of antibody fragments with several advantageous characteristics: small monomeric size, high stability and solubility and easy tailoring for multiple applications. Nanobodies are gaining increasing acceptance as diagnostic tools and promising therapeutic agents in cancer and other diseases. While most nanobodies are obtained from immunized animals of the camelid family, a few synthetic nanobody libraries constructed in recent years have shown the capability of generating high quality nanobodies in terms of affinity and stability. Since this synthetic approach has important advantages over the use of animals, the recent advances are indeed encouraging. Here we review over a dozen synthetic nanobody libraries reported so far and discuss the different approaches followed in their construction and validation, with an emphasis on framework and hypervariable loop design as critical issues defining their potential as high-class nanobody sources.     

等高线图分析技术在GC／FTIR联用数据处理中的应用

在三种高聚物的裂解大口径毛细管气相色谱－傅里叶变换红外光谱联用分析（ＰｙＷＢＣＧＣ／ＦＴＩＲ）数据获得的基础上，介绍应用等高线图（ＣＴＤ）分析技术处理色谱重叠峰，并在该分析提供的信息指导下进行红外光谱累加及差减技术，获得了重叠峰中各纯物质较好信噪比的气相红外谱图并予以定性，显著了等高线图分析技术在联用数据中的优点，充分发挥了ＧＣ／ＦＴＩＲ联用特有的光谱分离离度优势。     

Solving variational inequalities by a modified projection method with an effective step-size

In this paper, we propose a new projection method for the solution of variational inequality problems. The method is simple, which uses only function evaluations and projections onto the feasible set. We adopt a new step-size rule and a new search direction in the new method. Under the mild conditions, we prove the proposed method is globally convergent. Preliminary numerical results are reported.     

Multidimensional Scaling With Very Large Datasets

Multidimensional scaling has a wide range of applications when observations are not continuous but it is possible to define a distance (or dissimilarity) among them. However, standard implementations are limited when analyzing very large datasets because they rely on eigendecomposition of the full distance matrix and require very long computing times and large quantities of memory. Here, a new approach is developed based on projection of the observations in a space defined by a subset of the full dataset. The method is easily implemented. A simulation study showed that its performance are satisfactory in different situations and can be run in a short time when the standard method takes a very long time or cannot be run because of memory requirements.     

ON THE PROJECTION OF THE EFFICIENT SET AND POTENTIAL APPLICATIONS

Abstract

We study the efficient set X _E for a multiple objective linear program by using its projection into the linear space L spanned by the independent criteria. We show that in the orthogonally complementary space of L, the efficient points form a polyhedron, while in L an efficiency-equivalent polyhedron for the projection P(X _E ) of X _E can be constructed by algorithms of outer and inner approximation types. These algorithms can be also used for generating all extreme points of P(X _E ). Application to optimization over the efficient set for a multiple objective linear program is considered.