Reputation-based network selection mechanism using game theory

Current and future wireless environments are based on the coexistence of multiple networks supported by various access technologies deployed by different operators. As wireless network deployments increase, their usage is also experiencing a significant growth. In this heterogeneous multi-technology multi-application multi-terminal multi-user environment users will be able to freely connect to any of the available access technologies. Network selection mechanisms will be required in order to keep mobile users “always best connected” anywhere and anytime. In such a heterogeneous environment, game theory techniques can be adopted in order to understand and model competitive or cooperative scenarios between rational decision makers. In this work we propose a theoretical framework for combining reputation-based systems, game theory and network selection mechanism. We define a network reputation factor which reflects the network’s previous behaviour in assuring service guarantees to the user. Using the repeated Prisoner’s Dilemma game, we model the user–network interaction as a cooperative game and we show that by defining incentives for cooperation and disincentives against defecting on service guarantees, repeated interaction sustains cooperation.     

Low regularity solutions,blowup, and global existence for a generalization of Camassa–Holm‐type equation

We consider a generalization of Camassa–Holm‐type equation including the Camassa–Holm equation and the Novikov equation. We mainly establish the existence of solutions in lower order Sobolev space with . Then, we present a precise blowup scenario and give a global existence result of strong solutions. Copyright © 2013 John Wiley & Sons, Ltd.     

Global weak solutions for a periodic two-component?μ-Hunter–Saxton system

This paper is concerned with global existence of weak solutions for a periodic two-component?μ-Hunter–Saxton system. We first derive global existence for strong solutions to the system with smooth approximate initial data. Then, we show that the limit of approximate solutions is a global weak solution of the two-component?μ-Hunter–Saxton system.     

Multi-cabinet implementation for Load-Balanced Optical Switch

Load-Balanced Optical Switch (LBOS) [20] ensures close-to-100% throughout and all-optical transmission between linecards. In this paper, we extend LBOS for multi-cabinet implementation. The challenges lie in the fact that the practical implementation requirements in single-cabinet LBOS become un-scalable for multi-cabinet scenario. First of all, we remove the restriction on LBOS that propagation delay (t_p) between adjacent linecards must equal to the transmission time (t_pkt) for sending one packet. The delay t_p is relaxed to be any value, which can accommodate the long and unequal distances fibers among cabinets. Secondly, we outstrip the upper bound of switch size N = 160 in LBOS. The basic idea is that the adjacent linecards share an identical channel/wavelength. Then LBOS can be scaled to support the large switch size of multi-cabinet. Last but not least, a more feasible fair scheduler is devised to replace the original one in LBOS. The simulation results show that multi-cabinet LBOS yields a much better delay/throughput performance than other multi-cabinet optical switches (e.g. Fasnet [8]).     

基于PCAU-Net的快速多通道磁共振成像方法

多通道磁共振成像方法采用多个接收线圈同时欠采样k空间以加快成像速度,并基于后处理算法重建图像,但在较高加速因子时,其图像重建质量仍然较差．本文提出了一种基于PCAU-Net的快速多通道磁共振成像方法,将单通道实数U型卷积神经网络拓展到多通道复数卷积神经网络,设计了一种结构不对称的U型网络结构,通过在解码部分减小网络规模以降低模型的复杂度．PCAU-Net网络在跳跃连接前增加了1×1卷积,以实现跨通道信息交互．输入和输出之间利用残差连接为误差的反向传播提供捷径．实验结果表明,使用规则和随机采样模板,在不同加速因子时,相比常规的GRAPPA重建算法和SPIRiT重建方法,本文提出的PCAU-Net方法可高质量重建出磁共振复数图像,并且相比于PCU-Net方法,PCAU-Net减少了模型参数、缩短了训练时间．     

仿人足球机器人目标定位与追踪算法改进

对于仿人足球机器人来说,视觉功能是极其重要的。在足球机器人的各种关键技术中,机器视觉是应用范围最广,最为基本的技术之一。移动机器人视觉的研究主要集中在颜色模型建立、目标识别、定位以及跟踪等方面。仿人机器人视觉系统的识别与定位算法也是目前的研究热点,目标的实时识别与定位是足球机器人在足球赛中精确踢球的前提。文章主要是针对目前足球机器人在视觉系统上所存在的问题进行了颜色模型建立及目标定位算法的改进,加入了目标追踪算法,确保目标识别与定位的准确。在i Kid足球机器人上进行试验并调试,试验结果具有较好的实时性和准确性。     

激光电化学复合加工的冲击空化检测及试验

为了测量脉冲激光击穿电解液下产生的声压信号,探讨冲击空化效应对激光电化学复合加工的作用和影响,建立了激光电化学复合加工检测系统。采用水听器采集脉冲激光聚焦电解液下产生的声压信号,使用示波器对声压信号进行存储、XVIEWER软件对声压波形分析和计算,最后对激光电化学复合加工的区域进行拍照,并分析冲击空化效应对激光电化学复合加工后的形貌特性和表面质量的作用和影响。结果表明,脉冲激光聚焦电解液下,产生冲击空化效应,向外辐射3个不同声压信号;随着激光能量的增加,激光冲击空化的3个声压变大,空泡的半径和泡能均增加;在激光电化学复合加工中,激光能量增加,产生的等离子冲击波和射流力越大,工件去除的量越多;空泡脉动促进电解液的流动,对加工区域的微观形貌和表面质量起重要作用。这一结果对复合加工的过程和形貌是有帮助的。     

终端靶场中相位畸变对近场光束质量的影响

终端靶场聚焦系统中的光学元件上存在不可避免的缺陷致使光场波前发生畸变,根据高功率激光装置终端靶场系统中强光束传输的特点,建立了描述光学元件引入的局域相位调制的模型,研究了终端靶场中具有高斯型相位波前畸变的平顶光束经过透镜会聚,并在后续防溅射板等熔石英介质中经历非线性增长的传输演变过程,详细分析了高斯型相位波前畸变、熔石英厚度和透镜焦距对终端靶场聚焦系统中的近场光束质量的影响。结果表明,高斯型波前畸变越严重、熔石英厚度越长、透镜焦距越短,近场光束质量越差,中高频增长越多。     

基于区域融合的单视点图像深度信息提取

将2D转换为3D是目前3D多媒体成功应用的重要解决方法之一.而在2D至3D转换过程中,单视点图像中深度信息提取是最具挑战的任务.提出一种基于区域融合的单视点图像深度信息提取方法,利用区域融合对单视点图像进行区域融合,用先验假设的深度梯度图对区域进行深度分配,得到基于区域融合的深度图.实验结果表明通过所提方法得到的深度图...