中国古代陶瓷雕塑的美学特征

中华民族是个古老的、有着悠久历史和灿烂文明的伟大民族,远在八千年前,中国的文明在世界就已初露曙光。漫步在漫长的历史长河边,流连于丰富的博物馆展厅里,对我国悠久的历史和灿烂的文明作一次美的巡礼该是使人感到无比的欣慰和自豪的了。美学特征乃艺术的属性,总结它不是为了停留于前人的成果上,而是为了新的创造和新的开拓。     

An intelligent stock trading system using comprehensive features

The aim of this study is to predict automatic trading decisions in stock markets. Comprehensive features (CF) for predicting future trend are very difficult to generate in a complex environment, especially in stock markets. According to related work, the relevant stock information can help investors formulate objects that may result in better profits. With this in mind, we present a framework of an intelligent stock trading system using comprehensive features (ISTSCF) to predict future stock trading decisions. The ISTSCF consists of stock information extraction, prediction model learning and stock trading decision. We apply three different methods to generate comprehensive features, including sentiment analysis (SA) that provides sensitive market events from stock news articles for sentiment indices (SI), technical analysis (TA) that yields effective trading rules based on trading information on the stock exchange for technical indices (TI), as well as the trend-based segmentation method (TBSM) that raises trading decisions from stock price for trading signals (TS). Experiments on the Taiwan stock market show that the results of employing comprehensive features are significantly better than traditional methods using numeric features alone (without textual sentiment features).     

合成氨双甲精制工艺副产双甲燃料应用实践

总结了合成氨双甲精制新工艺的实际应用情况，着重阐述其工艺流程，设备，工艺指标，安全，特点，效益。旨在从实践的角度察看其理论的成熟性与合理性，促进双甲工艺在八成氨生产中的广泛应用，创造更好的社会效益和与经济效益。     

RPG游戏角色设定的艺术特征和方法分析

RPG游戏作为现今最受欢迎的游戏类型,具有高度的艺术性、故事性与交互性。优秀的角色设计能够调动玩家参与游戏的积极性,文章在RGP游戏类别下,提出“三维”的细节化角色造型设定的方法,结合经典RPG游戏对角色设定的艺术特征进行了描述性的分析与归纳,并且引发迎合女性玩家角色缺失的关注,为拓展RPG游戏角色设定空间提供参考。     

基于句法语义特征的中文实体关系抽取

实体关系抽取的核心问题是实体关系特征的选择。以往的研究通常都以词法特征、实体原始特征等来刻画实体关系,其抽取效果已难再提高。在传统方法的基础上,该文提出一种基于句法特征、语义特征的实体关系抽取方法,融入了依存句法关系、核心谓词、语义角色标注等特征,选择SVM作为机器学习的实现途径,以真实新闻文本作为语料进行实验。实验结果表明该方法的F1值有明显提升。     

基于几何特征的流体动画控制方法

在流体动画中,流体控制是生成可控流体运动的关键技术.为产生视觉逼真、行为可控的流体动画效果,提出一种基于几何特征的流体控制方法.首先通过构建流体形状的时变几何分区,实现对可控流体形状的表达及动态跟踪;在此基础上设计异构控制模型,以增强流体运动控制的灵活性,该模型采用了带约束优化的刚性控制和基于弹簧模型的柔性控制2种方法;最后将异构控制模型与高精度流体物理模型相耦合,生成视觉逼真的可控流体运动效果.实验结果表明,该方法能够在保持流体角色形状的同时产生丰富的流体细节,满足动画师的设计需求.     

基于人脸特征和线积分卷积的肖像素描生成

为了更好地模拟素描的笔画和突显肖像素描中五官的部分,提出基于人脸特征和线积分卷积的肖像素描生成方法.首先进行人脸分割,由人脸特征点确定GrabCut算法中每个特征的初始trimap,然后根据分割结果使用线积分卷积算法绘制肖像素描.文中使用了基于分割结果的多分辨率白噪声和方向场,并提出了基于分割结果的自适应性边界提取算法.实验结果表明,该算法改善了肖像素描的生成效果.     

基于粒子滤波后验概率分布的多特征融合跟踪

在光照和目标形变等外部条件变化的情况下,仅利用目标的单一特征难以鲁棒的跟踪目标。提出了一种基于粒子滤波后验概率分布的多特征融合跟踪算法,在粒子滤波跟踪框架下,用直方图模型表征目标的颜色和边缘特征,通过两种特征后验概率之间的"协作"与"学习"实现特征融合,各种场景的试验结果比较表明,新的融合跟踪算法比仅用单一特征跟踪、现有的多特征融合算法具有更好的稳定性和鲁棒性,特别是针对环境光照和目标背景变化较大的情况更具有优势。     

一种基于聚类加权的文本特征生成算法

目前的文本特征生成算法一般采用加权的文本向量空间模型,该模型使用TF-IDF评价函数来计算单个特征的权值,这种算法生成的文本特征冗余度往往都比较高。针对这一问题,采用了一种基于聚类加权的文本特征生成算法,首先对特征候选集进行初始加权处理;然后通过语义和信息熵对特征进行进一步加权处理;最后使用特征聚类对冗余特征进行剔除。实验表明该算法比传统的TF-IDF算法的平均分类准确率高出5%左右。     

Towards a trust,reputation and recommendation meta model

New trust, reputation and recommendation (TRR) models are continuously proposed. However, the existing models lack shared bases and goals. For this reason, in this work we define an innovative meta model to facilitate the definition and standardization of a generic TRR model. Following the meta model, researchers in the field will be able to define standard models, compare them with other models and reuse parts of them. A standardization is also needed to determine which properties should be present in a TRR model.In accordance with the objectives we were seeking, following our meta model, we have defined a pre-standardized TRR model for e-commerce, identified the fundamental concepts and the main features that contribute to form trust and reputation in that domain, respected the dependence on the context/role of trust and reputation, aggregated only homogeneous trust information; listed and shown how to defend from the main malicious attacks.