【摘 要】
:
I will introduce an efficient algorithm for identifying conductive objects using induction data derived from eddy currents.Our method consists of first extracting geometric features from the induction
【机 构】
:
Department of Mathematical Sci.,Tsinghua Univ.
论文部分内容阅读
I will introduce an efficient algorithm for identifying conductive objects using induction data derived from eddy currents.Our method consists of first extracting geometric features from the induction data and then matching them to precomputed data for known objects from a given dictionary.
其他文献
蛋白质组学筛查分析由于样本量大迫切需要高通量的分离分析技术.毛细管电泳由于其高效性和样品需求量少非常适合生物样品的微尺度、高分辨分析.相对于高压液相色谱而言,毛细管电泳仪器平台相对简单,易于实现多道化.
"单步法"蛋白质组学工作流采用长柱长梯度的纳流液相色谱来获得蛋白降解物的高分辨分离.这一单维分离策略不仅简化了蛋白组学分析的实验流程,也大大强化了多肽段的质谱鉴定能力,因而得到了日益广泛的应用.
分离技术的微型化不仅可以节约试剂和样品的消耗,还具有高效、快速、高分辨与高通量等优势.液相色谱优良的分离能力和对样品的普适性已使其成为药物研发、环境保护、食品安全以及生物医学研究中最重要的分离分析手段.
基于毛细管柱的纳流液相色谱技术在现代蛋白质组学中扮演着重要角色.高峰容量和高重现性的色谱分离需要高质量的色谱柱.这一点在面向生物标志物发现的高通量分离分析中显得尤为重要.本文介绍了一种"即插即用"型柱塞技术用于构建高质量、高重现性的毛细管色谱柱.
纳流液相色谱具有高分离度、低样品消耗和高灵敏度等优势,已经成为蛋白组学分析中的重要分离手段.蛋白质组学样品由于组分多、丰度差异大迫切需要高效、可靠的纳流液相色谱分离.近年兴起的核-壳色谱材料是分离科学的重要成就,其独特的结构优化了色谱动力学过程,使其在不提高系统背压的情况下获得更高的柱效.
We study superfluid(SF) Bose-Bose mixtures in optical lattices both in the presence and absence of a barrier potential [1].We assume that the mass and intracomponent interaction of each component are
Bose-Einstein condensates made of ultracold trapped bosonic atoms have become a central venue in which interacting many-body quantum systems are studied.
We consider an interacting,one-dimensional Bose gas confined in a split trap,obtained by an harmonic potential with a localized barrier at its center.
We present a controlled rare-weak-link theory of the superfluid-to-Bose/Mott glass transition in onedimensional disordered systems.
We investigate the relation between Bose-Einstein condensation(BEC) and superfluidity in the ground state of a one-dimensional model of interacting Bosons in a strong random potential.