基于大数据挖掘的终端感知与换机应用研究

通过对移动大数据的分析和挖掘,能够提升终端感知,并为用户换机推荐提供强有力的数据支持。基于早期终端营销存在的问题与不足,提出了基于大数据挖掘的终端感知与换机应用系统解决方案,具体包括基于聚类算法的隐性换机用户提取方法,基于神经网络的指标分析法,基于决策树的换机预测方法。     

多层激光雷达在无人驾驶车中的环境感知

为了使无人驾驶车获得可行驶区域和障碍物信息,通过分析大量激光雷达扫描点数据,总结并得出路沿数据点独有的特征,提出一种基于路沿数据点特征和多层融合技术的路沿检测算法.应用Dezert-Smarandache理论(Dezert-Smarandache theory,DSm T)对无人驾驶车前方道路环境建立栅格地图,并利用证据理论中的冲突系数检测动态障碍物.最后,采用膨胀算法、侵蚀算法和改进的八邻域区域标记算法对动态障碍物进行聚类和信息提取.实车实验结果表明:本算法可稳定、准确地感知无人驾驶车周围环境信息.     

基于符号对称性的半符号OFDM调制方法

在分析OFDM调制符号对称性的基础上, 结合正交上下变频技术, 提出了一种基于符号对称性的半符号OFDM(HS-OFDM)调制方法, 分析了系统的误码性能和频谱效率, 给出了一种抗多径干扰的调制符号设计方法, 并对理论分析进行了仿真验证. 该半符号调制方法适用于子载波采用BPSK或PAM调制的OFDM系统, 可将系统的频谱效率极限值提高至2 Baud/Hz, 为更高效调制技术的研究提供了一个突破口.     

多模盲均衡算法剩余码间干扰的近似表达式简

A closed approximated formed expression for the achievable residual inter-symbol interference(ISI) is proposed for the adaptive equalizers that adopt the multimodulus algorithm. The expression depends on the step-size parameter, equalizer's tap length, input signal statistics, signal noise ratio and channel power. Simulation proves that the expression shows the exact relationship between residual inter-symbol interference and involved parameters. Since the channel power and signal noise ratio of the expression are measurable or can be calculated, this new approximated expression can be a useful tool for choosing the step-size and tap length for designing an equalizer, and for making direct performance comparison between blind equalizers based on distinct algorithms.     

旅游法实施背景下网友对“导游员”工作的感知——基于新浪微博文本分析

以2013年国庆期间新浪微博网友关于“旅游法”和“导游”的原创微博为样本,采用数量分析方法,分析网友对旅游法实施后导游工作关注程度的变化以及对旅游法的支持程度,研究表明,国庆期间网友对旅游法实施后导游工作的关注日益增加,认为旅游法的实施对导游工作有正面影响的网友占大多数.使用词频统计法和共现分析法进行内容分析,网友对导游工作的感知主要包括：导游工作需要旅行社和游客的支持和理解;支持旅游法对无证导游的惩罚,但是惩罚力度不足;旅游法对强制消费的约束已初见成效,但部分网友表现出对部分导游工作态度消极的不满;旅游法实施后导游收入下降明显.     

A Hybrid Color Quantization Algorithm Incorporating a Human Visual Perception Model

Color quantization is a common image processing technique where full color images are to be displayed using a limited palette of colors. The choice of a good palette is crucial as it directly determines the quality of the resulting image. Standard quantization approaches aim to minimize the mean squared error (MSE) between the original and the quantized image, which does not correspond well to how humans perceive the image differences. In this article, we introduce a color quantization algorithm that hybridizes an optimization scheme based with an image quality metric that mimics the human visual system. Rather than minimizing the MSE, its objective is to maximize the image fidelity as evaluated by S‐CIELAB, an image quality metric that has been shown to work well for various image processing tasks. In particular, we employ a variant of simulated annealing with the objective function describing the S‐CIELAB image quality of the quantized image compared with its original. Experimental results based on a set of standard images demonstrate the superiority of our approach in terms of achieved image quality.     

Which symbol grounding problem should we try to solve?

Floridi and Taddeo propose a condition of ‘zero semantic commitment’ for solutions to the grounding problem, and a solution to it. I argue briefly that their condition cannot be fulfilled, not even by their own solution. After a look at Luc Steel's very different competing suggestion, I suggest that we need to re-think what the problem is and what role the ‘goals’ in a system play in formulating the problem. On the basis of a proper (syntactic) understanding of computing, I come to the conclusion that the only sensible grounding problem is how we can explain and re-produce the behavioural ability and function of meaning in artificial computational agents.     

Feistel-SP结构迭代差分的自动化搜索

基于新的符号差分表示方法提出了一种自动化搜索技术,可以搜索出典型Feistel-SP结构的分组密码的最优迭代差分模式,选择合适的迭代差分模式可以遍历出所有最优的迭代差分路径,不仅大大降低计算复杂性,还能通过迭代差分模式构造出多轮最优差分路径。以轻量级分组密码MIBS为例,应用自动化搜索工具,给出了MIBS的3轮、4轮最优迭代差分路径,概率分别为2-20、2-26,并搜索出所有满足条件的最优迭代差分路径。     

Performance of estimating depth in projection based stereoscopic virtual display

Accurate distance estimation is essential for effective user interaction with objects appearing in the virtual space. Research has shown that the distance estimation in the virtual space is not as accurate as that in the real world. The inaccuracy phenomenon is almost exclusively documented for estimating objects appearing straight ahead of the eye. A collection of the accuracy data for targets located in different angles of view in the visual field may be useful in aiding the design of user‐virtual object interaction. This study collected the object to object distance estimation accuracy for targets displayed stereoscopically. There are five horizontal and two vertical viewing angles and three depths, resulting in a total of 30 locations in the virtual space. The distance estimation for any of the 30 object pairs were performed with or without the aid of spatial cues. Significant factors influencing the accuracy and time of distance estimation were identified. Implications of the finding were discussed with respect to the stereoscopic display environment.     

Error quantification of the normalised right graph symbol for an errors-in-variables system

This paper proposes a novel method to quantify the error of a nominal normalized right graph symbol (NRGS) for an errors-in-variables (EIV) system corrupted with bounded noise. Following an identification framework for estimation of a perturbation model set, a worst-case v-gap error bound for the estimated nominal NRGS can be first determined from \textit{a priori} and \textit{a posteriori} information on the underlying EIV system. Then, an NRGS perturbation model set can be derived from a close relation between the v-gap metric of two models and ${\rm H}_\infty$-norm of their NRGSs' difference. The obtained NRGS perturbation model set paves the way for robust controller design using an ${\rm H}_\infty$ loop-shaping method because it is a standard form of the well-known NCF (normalized coprime factor) perturbation model set. Finally, a numerical simulation is used to demonstrate the effectiveness of the proposed identification method.