The general theory of three-party quantum secret sharing protocols over phase-damping channels

The general theory of three-party QSS protocols with the noisy quantum channels is discussed. When the particles are transmitted through the noisy quantum channels, the initial pure three-qubit tripartite entangled states would be changed into mixed states. We analyze the security of QSS protocols with the different kinds of three-qubit tripartite entangled states under phase-damping channels and figure out, for different kinds of initial states, the successful probabilities that Alice’s secret can be recovered by legal agents are different. Comparing with one recent QSS protocol based on GHZ states, our scheme is secure, and has a little smaller key rate than that of the recent protocol.     

Expansible quantum secret sharing network

In the practical applications, member expansion is a usual demand during the development of a secret sharing network. However, there are few consideration and discussion on network expansibility in the existing quantum secret sharing schemes. We propose an expansible quantum secret sharing scheme with relatively simple and economical quantum resources and show how to split and reconstruct the quantum secret among an expansible user group in our scheme. Its trait, no requirement of any agent’s assistant during the process of member expansion, can help to prevent potential menaces of insider cheating. We also give a discussion on the security of this scheme from three aspects.     

基于椭球约束的径向基函数隐式曲面重建

对三维点云进行隐式曲面重建是解决虚拟现实等方面所存在问题的关键。本文提出 了一种基于椭球约束的径向基函数隐式曲面建模的算法,该方法在仅有点云信息的前提下仍能够 非常精确地拟合点云数据。当点云稀疏时拟合后的模型可以非常好地保证模型的主要特征,但对 于拟合大规模数据点集时,模型会出现冗余现象,保特征效果不理想且效率低下。需将点云进行 适当分割,然后并行拟合被分割点云并将它们进行光滑拼接处理。实验效果表明该算法保特征效 果非常好且效率明显提高。     

Haptic feedback and control of a flexible surgical endoscopic robot

A flexible endoscope could reach the potential surgical site via a single small incision on the patient or even through natural orifices, making it a very promising platform for surgical procedures. However, endoscopic surgery has strict spatial constraints on both tool-channel size and surgical site volume. It is therefore very challenging to deploy and control dexterous robotic instruments to conduct surgical procedures endoscopically. Pioneering endoscopic surgical robots have already been introduced, but the performance is limited by the flexible neck of the robot that passes through the endoscope tool channel. In this article we present a series of new developments to improve the performance of the robot: a force transmission model to address flexibility, elongation study for precise position control, and tissue property modeling for haptic feedback. Validation experiment results are presented for each sector. An integrated control architecture of the robot system is given in the end.     

Hybridity in Embedded Computing Systems

An embedded system is a system that computer is used as a component in a larger device.In this paper,we study hybridity in embedded systems and present an interval based temporal logic to express and reason about hybrid properties of such kind of systems.     

Bayer阵列图像去马赛克算法综述

Bayer阵列图像去马赛克技术是对稀疏采样的Bayer阵列图像进行RGB信息重建,图像重建质量是成像设备评价的重要因素之一,同时也对其他计算机视觉任务(如图像分割、人脸识别)产生影响。随着深度学习方法的快速发展,图像去马赛克领域提出了多种高性能算法。为了便于研究者更全面了解图像去马赛克算法的原理和研究进展,本文对该领域的经典算法和深度学习算法进行综述。首先对Bayer采样阵列原理和图像去马赛克技术进行概述。然后将现有方法分为传统方法和基于深度学习方法两类进行总结,同时根据去马赛克任务是否具有独立性,将深度学习方法分为独立去马赛克任务和联合去马赛克任务两类,分析不同方法的原理和优缺点,重点阐述基于深度学习的去马赛克方法的网络结构和重建机理,介绍去马赛克领域常用的公共数据集和性能评价指标,并对图像去马赛克相关实验进行分析对比。最后,围绕网络深度、运算效率和实用性等方面分析了现阶段图像去马赛克技术面临的挑战及未来发展方向。目前,基于深度学习的图像去马赛克方法已成为主流发展方向,但仍然存在计算成本较高、实际应用性不强等问题。因此,如何开发出重建精度高、处理时间短以及实用性强的图像去马赛克方法,...     

全波模型的震相分析

模型震相分析是超声地震模型实验研究中的一项基础性工作。全波模型震相分析法可用来研究震相的初动方向。分析震波位移方向有两种方法,即解析法和矢量法。解析法是通过计算反射和透射系数的正负,来确定反射和透射的位移初动方向;矢量法是按入射波波前位移,考虑波阻抗的相对大小定出主矢量,然后在反射和透射方向上进行分解,从而得到相应波的初动方向。此外在考虑模型表面与接收换能器之间的相对位移对震相的初动方向影响时,尚需考虑仪器性能,换能器的指向性以及发、收换能器的组合。由于衰减和多次反射、透射波的存在,使得某些震相消失了,不同震相波的相干叠加还可能造成假象,使许多震相初动点模糊不清。在震相初动方向分析中,还要同时考虑走时、射线路径、振幅、周期、续至相位等运动学、动力学特征。     

磷对MoCoNi/Al2O3催化剂性能及活性结构的影响

研究磷对MoCoNi/Al2O3催化剂反应性能及活性结构的影响。结果表明,添加磷的MoCoNiP/Al2O3催化剂在渣油加氢反应中具有更高的杂质脱除能力,而且催化剂加氢活性的提升改善了加氢后产品作为催化裂化原料的整体性能。DRS及TPR表征结果显示,添加磷的MoCoNiP/Al2O3催化剂活性组分的低温还原性提高,增加了八面体配位钼物种的数量,从而提高了催化剂活性。添加磷的MoCoNiP/Al2O3催化剂的孔体积和比表面积有所损失,不利于催化剂容金属能力的提升,但反应后催化剂表面的积炭量没有发生变化,说明催化剂的抗积炭性能得到了保持。     

快速覆盖式分形压缩算法

提出了一种覆盖式分形压缩方法,并给出了相应快速搜索算法.该方法采用四连通扩充的方式,在给定误 差范围内,尽可能地合并规则Range分区,从而减少所需迭代变换的数目.为减少存储Range分区信息所需的字 节,在存储压缩映射时,根据Range分区多边形的边数调整存储顺序,对于那些复杂的Range分区,只记录其外接 矩形框信息.在解码时,采用一种覆盖式绘制方法,可以完全恢复原Range分区情形.通过对Lenna,图象的实验表 明,在恢复图象的信噪比为29.63dB时,可以达到41倍的压缩倍数.     

Optimal and self‐tuning weighted measurement fusion Kalman filters and their asymptotic global optimality

For the multisensor linear discrete time‐invariant stochastic systems with unknown noise variances, using the correlation method, the information fusion noise variance estimators with consistency are given by taking the average of the local noise variance estimators. Substituting them into two optimal weighted measurement fusion steady‐state Kalman filters, two new self‐tuning weighted measurement fusion Kalman filters with a self‐tuning Riccati equation are presented. By the dynamic variance error system analysis (DVESA) method, it is rigorously proved that the self‐tuning Riccati equation converges to the steady‐state optimal Riccati equation. Further, by the dynamic error system analysis (DESA) method, it is proved that the steady‐state optimal and self‐tuning Kalman fusers converge to the global optimal centralized Kalman fuser, so that they have the asymptotic global optimality. Compared with the centralized Kalman fuser, they can significantly reduce the computational burden. A simulation example for the target tracking systems shows their effectiveness. Copyright © 2010 John Wiley & Sons, Ltd.