SERVICE VALUE NETWORKS： INTO PRACTICE

Modeling a business to match its customer perceived （and customer desired） outcomes, remains an on-going task. This paper considers shows how a service value networks （SVNs） approach may be engaged to model, and deliver, understanding of the front-end business and its direct engagement with its immediate （or front-end） customers. These front-end customers may be either： （1） its off-line, in-store customers - engaging directly with the business sales staff （or representative）, or-（2） its on-line, virtual customers - engaging with the business via internet or remote access. In this situation, both the business, and the customer draw upon their respective viewpoints, and both sides influence the interaction. External to these business and customer influences are additional factors that capture the immediate and broader global effects - termed environmental effects. These three business-customer engagement areas of influence are captured by a SVN SEM approach.
Without a business-customer encounter of some kind the likelihood of a services business, and a prospecting customer, successfully engaging in an exchange process is reduced. This exchange may be a physical, and/or services exchange, and/or an information and/or ideas exchange. To the business, this encounter is, in effect, a trade, and as a result, the business targets acquiring an economic exchange that will ultimately deliver a net positive economic outcome. To the customer, external and internal information feeds, servicing, perceived value, and satisfaction, are key encounter drivers. SVNs offers a new way to understand the business-customer encounter, and to then utilize this acquired knowledge to either： （1） build a strategic management model, or （2） reengineer its business networks, and to then create a re-positioned, more customer-aligned business operation - one that is capable of delivering win - win, competitive business-customer solutions.     

A Research on BIlingual Dictionary Based Sentence Alignment for Chinese English Parallel Corpus

Parallel corpus is of great importance to machine translation,and automatic sentence alignment is the first step towards its processing.This paper puts forward a bilingual dictionary based sentence alignment method for Chinese English parallel corpus,which differs from previous length based algorithm in its knowledge-rich approach.Experimental result shows that this method produces over 93% accuracy with usual English-Chinese dictonaries whose translations cover 31.88%-47.90% of the corpus.     

基于VPU加速的嵌入式实时人脸检测系统设计与实现

智能设备高昂的设计费用和庞大的计算资源需求成为在便携式、低功耗设备上实现深度学习算法及其应用的主要障碍.文中基于树莓派平台,借助Intel的视频处理器(V PU)低功耗加速模块,设计并实现了基于残差特征提取模块CNN模型的实时人脸检测系统.结果表明,相较于单纯使用树莓派CPU进行计算,文中方法在视频流中检测人脸和人脸关键点提取的实验中分别实现了18.62倍和17.46倍的加速,在便携式设备中实现快速、实时、在线的人脸检测和特征点提取成为现实,同时为使用便携式、低功耗设备运行深度学习算法提供了一种确实可行的方案.     

多注意力结合光流的视频超分辨方法

针对现如今监控摄像、卫星遥感以及视频娱乐等领域对视频图像的清晰度要求越来越高,而目 前大部分视频超分辨方法存在参数量大、恢复的视频存在抖动等问题,提出了一种多注意力结合光流的视频 超分辨方法,通过引入多个注意力包括空间注意力、通道注意力以及自注意力来提升超分辨性能。 具体而 言,作为一种特征加权的增强方法,这些注意力可以捕获视频帧的时空特征并增强自适应性和通道间的依赖 性,实现全局学习的功能;同时,提出双阶段特征对齐思路,首先利用光流对视频进行估计,进行第一阶段的 特征对齐,然后引入长短是记忆网络结构增强位置和通道的特征融合,进行第二阶段的特征对齐,以防止恢 复的视频帧出现抖动。 实验结果表明:该方法在评估标准和可视化效果方面都取得了令人满意的效果。     

Grinding Characteristics Of Directionally Aligned SiC Whisker Wheel-Comparison With Al2O3 Fiber Wheel

A unique SiC whisker wheel was invented,in which the whiskers were aligned normally to the grinding wheel surface.In this paper,grindabilities of the SiC whisker wheel are investigated and compared with those of other wheels of SiC grains,Al2O3 grains,as well as Al2O3 long and short fibres which were also aligned normally to the grinding wheel surface,respectively.The main research contents concern grinding characteristics of a directionally aligned SiC whisker wheel such as material-removal volume,wheel-wear rates,integrity of the ground surfaces,grinding ratios and grinding efficiency.Furthermore,grinding wheels of whiskers and fibres have a common disadvantage:they tend to load easily.The authors have proposed a simple method of loading-free grinding to overcome this propensity and investigate some related grinding characteristics under loading-free grinding conditions.     

正割迭代法在立交平面线形设计中的若干应用

在立交平面线形设计中存在一类线形相交计算问题，本文从非线性方程组的一般迭代解法出发，提出了适应该类问题的具有“随机搜索”修正功能的正割迭代法，并进一步阐述了该迭代法在一些求相交点问题中的具体应，算例表明该迭代法检速度快，对初解要求不高，适应各种平面线形，具有较高的的计算精度。     

公路空间线形的优化

本文的研究目的是为了提供一种优化公路空间线形的方法和程序HAOP。它提出了利用空间交点确定公路空间线形的方法,研究了如何应用随机动态规划这一优化方法。试算表明程序HAOP具有一定的有效性和实用性。     

基于联邦网络的传递对准滤波补偿算法

针对空中环境各种干扰因素对空空导弹传递对准(TA)滤波的影响,提出一种基于联邦网络的补偿算法.将干扰误差考虑为量测输入纳入滤波系统,改进标准Kalman滤波结构.将补偿神经网络设计成联邦结构,两个子系统分别用于训练量测输入估计误差、输出层权值误差和隐层权值误差.推导了联邦网络的训练算法并对算法进行了稳定性证明,保证了网络在结构上计算量小,系统反馈能力强,能够对干扰误差进行有效在线预测,辅助改进Kalman滤波器对失准角进行精确估计.仿真比较实验验证了该算法能够在不需任何先验信息的条件下,及时适应对准环境,预测校正干扰误差,滤波收敛快、精度高,适合空空导弹在具体设备和环境条件下的快速精确传递对准.     

公路平曲线参数对车辆轨迹和速度的影响规律

为得到弯道几何参数对切弯时车辆轨迹和速度的影响,构建了切弯效用的量测指标———曲中速度增量和曲中轨迹半径增量,然后用"公路-驾驶人-车辆"仿真系统模拟了跟弯和切弯2种模式下的弯道行驶过程,得到了弯道转角、半径、路幅宽度、弯道长度与切弯效用之间的关系曲线,结果表明:①切弯效用在转角ΔA=20°时最大,然后随着ΔA增加而迅速衰减.②对于低于10°的小转角弯道,即使是跟弯行驶,轨迹半径仍大于弯道半径,只有ΔA>20°时,轨迹半径才会与弯道半径一致.③存在一个临界转角ΔA0C,当ΔA<ΔA0C时,路宽的增加才会提高切弯效用.④转角一定的情况下,切弯效用随弯道半径的增加而衰减,并且转角越大,衰减越迅速.⑤对于30m半径的急弯,不管路宽和转角取何值,切弯都可以提高通过速度.⑥切弯效用随弯道长度的增加而减小,弯道长度超过临界值时,切弯效用为零.     

基于文本频谱的中文文本聚类方法

本文提出了利用文本频谱进行中文文本轮廓分析的表征方式.该方法基于不同时代、体裁和领域的文本在文字使用方面具有偏好性的假说,以文本中单个字符为单位,通过文本频谱刻画方法统计所有单字符在文本中出现的频率,并使用刻画出的文本频谱对文本进行表征;利用频谱比对分析技术,可计算出任意文本间的距离,并以此距离为基础进行聚类分析.进一步的实验证实了该方法的有效性.