计算机信息技术在生产性服务业组织建设中的渗透

大力发展生产性服务业是使我国经济继续保持健康发展的必由之路。计算机信息技术的渗透将促使这一过程得以加速。本文从相关要领介绍入手，研究了基于计算机信息技术的生产性服务业的管理过程、组织设计和组织文化，以期使其更有效地在生产性服务业实践中加以应用。     

3D Video Billboard Clouds

3D video billboard clouds reconstruct and represent a dynamic three-dimensional scene using displacement-mapped billboards. They consist of geometric proxy planes augmented with detailed displacement maps and combine the generality of geometry-based 3D video with the regularization properties of image-based 3D video. 3D video billboards are an image-based representation placed in the disparity space of the acquisition cameras and thus provide a regular sampling of the scene with a uniform error model. We propose a general geometry filtering framework which generates time-coherent models and removes reconstruction and quantization noise as well as calibration errors. This replaces the complex and time-consuming sub-pixel matching process in stereo reconstruction with a bilateral filter. Rendering is performed using a GPU-accelerated algorithm which generates consistent view-dependent geometry and textures for each individual frame. In addition, we present a semi-automatic approach for modeling dynamic three-dimensional scenes with a set of multiple 3D video billboards clouds.     

SurgeryCuts: Embedding Additional Information in Maps without Occluding Features

Visualizing contextual information to a map often comes at the expense of overplotting issues. Especially for use cases with relevant map features in the immediate vicinity of an information to add, occlusion of the relevant map context should be avoided. We present SurgeryCuts, a map manipulation technique for the creation of additional canvas area for contextual visualizations on maps. SurgeryCuts is occlusion‐free and does not shift, zoom or alter the map viewport. Instead, relevant parts of the map can be cut apart. The affected area is controlledly distorted using a parameterizable warping function fading out the map distortion depending on the distance to the cut. We define extended metrics for our approach and compare to related approaches. As well, we demonstrate the applicability of our approach at the example of tangible use cases and a comparative user study.     

相容RS理论中的属性约简算法

1.引言 Skowron等提出的相容RS理论是经典的RS理论的推广,它用相容关系(tolerance)代替原来的不可分辨关系(indiscernibility),可以发现属性值之间的相似性、滤除属性值之间的微小偏差,提高系统决策的鲁棒性和决策效率。Duntsch、Gediga等从信息论的角度建立了粗糙集理论中的知识与信     

汉语句法结构标注的研究

在自然语言处理中，利用语料库标注词性已获得了极大成功，本文利用语料库的思想，探讨了句法结构标注的可能性和方法。     

Optimal information dispersal for probabilistic latency targets

The goal of this work is to provide a framework for applications to probabilistically meet latency targets using redundancy and multipath routing. It investigates the amount of redundancy necessary to maximize the probability of constructing a copy of a file F no later than a given delay bound Δ without any reservations. Redundancy is obtained from the information dispersal algorithm (IDA) of Rabin. Specifically, F is broken into b pieces, each of size s, and each piece is sent on one of the several (disjoint) paths from source to destination. Each piece contains some redundant information in such a way that any m≡|F|/s pieces are enough to reconstruct the file. This work presents both analytical and computational results to determine the optimal values of b and s to maximize the success probability. It also examines the impact of various parameters such as the file size, delay bound, loss rate, distance from the destination, on the probabilistic quality of service (QoS) guarantee. This is a novel approach to QoS routing since it does not require any reservations or extra overhead at intermediate nodes and effectively shifts the burden from nodes to links.     

知识开源化背景下信息安全类课程教学改革初探

本文针对当前知识开源化的现状,结合信息安全类相关课程在北京电子科技学院授课的实际情况,以利用知识开源化所带来的优势,改善课程的教学效果、提高学生的动手实践能力为目的,研究和探讨了信息安全类部分课程的教学模式改革方式和所取得的效果。     

试论出口商品及其包装的色彩设计

论述了色彩的信息化功能和情感作用功能,探讨了关于出口商品及其包装在色彩设计方面值得注意的一些问题。     

信息家电控制接口电路设计及其FPGA实现

介绍了用于信息家电控制接口电路的一种实现方案，主要功能是自动接收串行数据并存入片内RAM，进行误码检测，并对控制码进行译码处理，发出对家电的开关控制指令。综合、仿真与测试结果表明设计的系统能完成预定的功能。     

维吾尔文无监督自动切分及无监督特征选择

维吾尔文常用切分方法会产生大量的语义抽象甚至多义的词特征,因此学习算法难以发现高维数据中隐藏的结构.提出一种无监督切分方法dme-TS和一种无监督特征选择方法UMRMR-UFS.dme-TS从大规模生语料中自动获取单词Bi-gram及上下文语境信息,并将相邻单词间的t-测试差、互信息及双词上下文邻接对熵的线性融合作为一个组合统计量(dme)来评价单词间的结合能力,从而将文本切分成语义具体的独立语言单位的特征集合.UMRMR-UFS用一种综合考虑最大相关度和最小冗余的无监督特征选择标准(UMRMR)来评价每一个特征的重要性,并将最重要的特征依次移入到特征子集中.实验结果表明dme-TS能有效控制原始特征集的规模,提高特征项本身的质量,用UMRMR-UFS的输出来表征文本时,学习算法也表现出其最高的性能.