Efficient scheduling with random network coding in multi-relay wireless network

In this paper, we propose two novel efficient scheduling schemes with network coding in multi-relay wireless network to maximize the transmission efficiency. The first one uses adaptive forwarding with network coding （AF-NC）, in which each relay adaptively calculates the number of packets having innovative information according to the feedback from the sink. With AF-NC, duplicate packets are not sent, and the total number of time slots needed to complete transmission can be significantly reduced. The second scheme, named adaptive forwarding with network coding and retransmission （AFR-NC）, combines AF-NC with automatic repeat request （ARQ） to guarantee reliable end-to-end communication with limited resource occupation. Numerical results show that compared with simple forwarding with network coding （F-NC）, AF-NC has close successful delivery rate with dramatically less time slots, while AFR-NC achieves strict reliability with limited resource cost.     

Graphic processing unit based phase retrieval and CT reconstruction for differential X-ray phase contrast imaging

Compared with the conventional X-ray absorption imaging, the X-ray phase-contrast imaging shows higher contrast on samples with low attenuation coefficient like blood vessels and soft tissues. Among the modalities of phase-contrast imaging, the grating-based phase contrast imaging has been widely accepted owing to the advantage of wide range of sample selections and exemption of coherent source. However, the downside is the substantially larger amount of data generated from the phase-stepping method which slows down the reconstruction process. Graphic processing unit （GPU） has the advantage of allowing parallel computing which is very useful for large quantity data processing. In this paper, a compute unified device architecture （CUDA） C program based on GPU is introduced to accelerate the phase retrieval and filtered back projection （FBP） algorithm for grating-based tomography. Depending on the size of the data, the CUDA C program shows different amount of speed-up over the standard C program on the same Visual Studio 2010 platform. Meanwhile, the speed-up ratio increases as the size of data increases.     

零序电压综合不平衡度探讨

阐述了现行标准对电压不平衡度定义存在的问题,分析了现有谐波电压不平衡度算法不足,提出了非线性负载情况下零序电压不平衡度的计算方法,实验表明了零序综合电压不平衡度定义的必要性与正确性。     

东流水道航道整治二期工程整治思路及方案

东流水道航道整治工程实施后,总体河势基本得到控制,航道条件明显改善。但对东流水道的演变分析结果表明:近年来东港分流比快速增加,使得老虎滩左侧航道淤浅、西港过渡段航宽紧张。如果任由这些不利趋势继续发展,不仅会严重削弱已建工程的整治效果,而且可能产生新的碍航问题。阐述继续将西港作为主航道进行整治的思路,同时提出针对该水道的具体整治方案。     

基于灰色综合关联理论的电力系统故障诊断方法

为提高电力系统故障诊断的准确性,采用基于灰色综合关联理论的电力系统故障诊断方法,首先建立包括保护、断路器拒动情况下元件-（保护-断路器）分层逻辑关联规则;在识别出故障区域的基础上,将故障信息按逻辑关联规则进行分类,利用灰色综合关联理论对告警信息与标准告警信息进行对比,并运用相似度算法筛选判断结果中的矛盾项,最终得出故障诊断结果,识别出保护和断路器拒动、误动的情况,并将告警信息纠错和复原.     

旋喷法改善可液化地基的方法

分析了砂土液化的机理及形成条件,率先提出了利用旋喷法处理砂土液化,并介绍了旋喷法提高地基抗液化的加固机理及地基处理设计方法,旋喷法处理砂土液化具有经济、快速、实用、高效等特点。     

冲击载荷下弹性联轴器刚度非线性特性影响*

论文分析了弹性联轴器在车辆应用中的重要作用,通过建立弹性联轴器双质量力学模型,将弹性联轴器的刚度非线性引入模型中,利用渐进法分析了联轴器在冲击载荷下其刚度非线性特性影响,为弹性联轴器在车辆应用设计中,提供了一定的理论指导。     

基于动态识别区间的路面识别方法研究

以路面附着系数为参数指标,在Burckhardt轮胎—路面数学模型的基础上设计了7种典型路面的动态识别区间,同时根据附着系数和附着系数曲线斜率之差对干鹅卵石和湿沥青路面作进一步区分,据此在制动时完成路面状态的动态识别。使用双轮模型进行仿真试验,结果表明:该方法能够准确快速地完成路面状态识别,实现了实时滑移率下的动态识别,对不同路面附着条件的利用明显改善,同时该方法具备自动纠错功能。     

全面深化改革需要坚持党的群众路线

三十年的改革开放取得的伟大成就是党坚持走群众路线的生动体现,群众路线对于十八届三中全会提出的改革并不过时,"一切为了群众,一切依靠群众"是全面深化改革的根本出发点和落脚点;"从群众中来,到群众中去"是全面深化改革的重要保证。全面深化改革和坚持群众路线是有机的统一体。     

案例教学法在“物流法规”课程中的应用

“物流法规”是一门与物流业务实践紧密联系的法律课程,通过教师搜集案例、编撰案例、改革传统的上课模式和考核方式实行案例教学,能锻炼和提高学生分析问题、解决问题的能力,引导学生更加注重实践技能的培养和提高,有助于培养出真正符合社会需要的高技能物流管理人才.