基于词间依存的汉语基本块依存关系识别

基本块的分析是句法分析中的重要技术,根据依存理论,提出了一种分析基本块之间的依存关系的方法。首先使用BIO标记来识别基本块,然后根据词之间的依存关系判别基本块之间的依存关系。实验表明,基本块识别的正确率和召回率分别为82.3%和78%,基本块之间依存关系识别的正确率和召回率分别为89%和90.5%。     

基于属性值分布的关系数据库对象级别检索结果排序算法

目前关系数据库的相关性排序方法有很多。对象级别检索可以更好地将分散在各个元组中的信息进行整 合,得到完整的信息。由于每个对象是唯一的,对象之间的区别不仅仅是通过关键词来体现,而且是通过它们包含的 属性值来体现的。因此介绍的方法通过统计包含关键词的对象中的属性值的分布情况,运用信息嫡的方法为每个属 性分配权值,由此计算每个对象针对单关键词的相关性得分,进而以对象为单位将针对每个关键词的得分求和,得到 最终的排序得分。     

基于云存储的重复数据删除架构的研究与设计

随着云计算的发展,云存储技术通过集群应用、虚拟化技术、分布式文件系统等功能将网络中大量各种不同类型的存储设备集合起来协同工作,缓解了老式数据中心的存储压力.另外,重复数据删除技术是一种缩减存储空间减少网络传输量的技术,随着云的广泛应用也势必会发展应用于云存储中.这两种技术结合将会给IT存储业带来实际效益.本文通过研究重复数据删除技术、云存储技术,设计了基于云存储的重复数据删除架构,提出了一种用In-line方式在客户端进行数据块级与字节级相结合的重复数据删除操作后再将数据存入云中的方案.在本架构下,海量数据存储在HDFS中;而文件数据块的哈希值存储在HBase中.     

基于连续性库存检查策略的库存系统仿真优化

库存能够保证企业的正常运作,但过多的库存又导致库存成本增加、占用大量流动资金．因此,有必要在库存持有量和成本之间寻求一个平衡点．利用AnyLogic软件构建了单一库存点的库存仿真系统．以连续性库存检查策略为例进行仿真与优化实验,得出最优库存控制策略,在保证客户服务水平的基础上实现了库存成本最低．     

汉语自动分词词典新机制—词值哈希机制

汉语词典查询是中文信息处理系统的重要基础部分, 对系统效率有重要的影响. 国内自80年代中后期就开展了中文分词词典机制的研究, 为了提高现有基于词典的分词机制的查询效率, 对于词长不超过4字的词提出了一种全新的分词词典机制——基于汉字串进制值的拉链式哈希机制即词值哈希机制. 对每个汉字的机内码从新编码, 利用进制原理, 计算出一个词语的词值, 建立一个拉链式词值哈希机制, 从而提高查询匹配速度.     

大型渠道清污机栅体结构的内部流态

大型清污设备是南水北调等长距离调水工程的关键设备,拦污栅是清污机的重要部件,用以拦阻水流挟带的污物进入流道,保证调水沿线顺利正常运行。拦污栅的结构断面型式和布置是影响水流流态的重要因素。运用流体力学(CFD)数值模拟分析对栅体结构不同断面型式和布置情况进行内部流态模拟分析,通过对不同方案的水平、垂直截面速度等值线图以及三维流场图的分析,得出流线型栅条、圆头流线型主梁水平布置、边梁为矩形箱梁的栅体结构为最优方案,大跨度比小跨度的要合理,流态和流速都更理想,水流均匀、平稳,且没有回流及涡流区,流速分布更对称。因此,对拦污栅体多种不同方案的优化研究,通过三维数值模拟计算验证了优化效果。     

Exploring Non‐Linear Relationship of Blendshape Facial Animation

Human face is a complex biomechanical system and non‐linearity is a remarkable feature of facial expressions. However, in blendshape animation, facial expression space is linearized by regarding linear relationship between blending weights and deformed face geometry. This results in the loss of reality in facial animation. To synthesize more realistic facial animation, aforementioned relationship should be non‐linear to allow the greatest generality and fidelity of facial expressions. Unfortunately, few existing works pay attention to the topic about how to measure the non‐linear relationship. In this paper, we propose an optimization scheme that automatically explores the non‐linear relationship of blendshape facial animation from captured facial expressions. Experiments show that the explored non‐linear relationship is consistent with the non‐linearity of facial expressions soundly and is able to synthesize more realistic facial animation than the linear one.     

Mining churning behaviors and developing retention strategies based on a partial least squares (PLS) model

In a very competitive mobile telecommunication business environment, marketing managers need a business intelligence model that allows them to maintain an optimal (at least a near optimal) level of churners very effectively and efficiently while minimizing the costs throughout their marketing programs. As a first step toward optimal churn management program for marketing managers, this paper focuses on building an accurate and concise predictive model for the purpose of churn prediction utilizing a partial least squares (PLS)-based methodology on highly correlated data sets among variables. A preliminary experiment demonstrates that the presented model provides more accurate performance than traditional prediction models and identifies key variables to better understand churning behaviors. Further, a set of simple churn marketing programs—device management, overage management, and complaint management strategies—is presented and discussed.     

Modeling the benefit of e-recruiting process integration

While e-recruiting has been widely adopted as one of the most successful e-business applications, it constitutes an under-researched area in e-business research. This study reviews the integration issues in e-recruiting and presents an e-recruiting integration decision model. The benefits of the investment in e-recruiting process integration are discussed in comparison to separate e-recruiting investments. We show that the optimal investment in the e-recruiting process integration results in a lower total cost than the separate e-recruiting investments. In addition, in light of the widely practiced resource constrained investments, we present the method of Lagrange multipliers which is used to find the optimal investment under a budget constraint.     

A semi-parametric generalization of the Cox proportional hazards regression model: Inference and Applications

The assumption of proportional hazards (PH) fundamental to the Cox PH model sometimes may not hold in practice. In this paper, we propose a generalization of the Cox PH model in terms of the cumulative hazard function taking a form similar to the Cox PH model, with the extension that the baseline cumulative hazard function is raised to a power function. Our model allows for interaction between covariates and the baseline hazard and it also includes, for the two sample problem, the case of two Weibull distributions and two extreme value distributions differing in both scale and shape parameters. The partial likelihood approach can not be applied here to estimate the model parameters. We use the full likelihood approach via a cubic B-spline approximation for the baseline hazard to estimate the model parameters. A semi-automatic procedure for knot selection based on Akaike’s information criterion is developed. We illustrate the applicability of our approach using real-life data.