基于文本与语义相关性分析的图像检索

为了更加有效地检索到符合用户复杂语义需求的图像，提出一种基于文本描述与语义相关性分析的图像检索算法。该方法将图像检索分为两步：基于文本语义相关性分析的图像检索和基于SIFT特征的相似图像扩展检索。根据自然语言处理技术分析得到用户文本需求中的关键词及其语义关联，在选定图像库中通过语义相关性分析得到“种子”图像；接下来在图像扩展检索中，采用基于SIFT特征的相似图像检索，利用之前得到的“种子”图像作为查询条件，在网络图像库中进行扩展检索，并在结果集上根据两次检索的图像相似度进行排序输出，最终得到更加丰富有效的图像检索结果。为了证明算法的有效性，在标准数据集Corel5K和网络数据集Deriantart8K上完成了多组实验，实验结果证明该方法能够得到较为精确地符合用户语义要求的图像检索结果，并且通过扩展算法可以得到更加丰富的检索结果。     

An unsupervised approach to generating generic summaries of documents

We present an optimization-based unsupervised approach to automatic document summarization. In the proposed approach, text summarization is modeled as a Boolean programming problem. This model generally attempts to optimize three properties, namely, (1) relevance: summary should contain informative textual units that are relevant to the user; (2) redundancy: summaries should not contain multiple textual units that convey the same information; and (3) length: summary is bounded in length. The approach proposed in this paper is applicable to both tasks: single- and multi-document summarization. In both tasks, documents are split into sentences in preprocessing. We select some salient sentences from document(s) to generate a summary. Finally, the summary is generated by threading all the selected sentences in the order that they appear in the original document(s). We implemented our model on multi-document summarization task. When comparing our methods to several existing summarization methods on an open DUC2005 and DUC2007 data sets, we found that our method improves the summarization results significantly. This is because, first, when extracting summary sentences, this method not only focuses on the relevance scores of sentences to the whole sentence collection, but also the topic representative of sentences. Second, when generating a summary, this method also deals with the problem of repetition of information. The methods were evaluated using ROUGE-1, ROUGE-2 and ROUGE-SU4 metrics. In this paper, we also demonstrate that the summarization result depends on the similarity measure. Results of the experiment showed that combination of symmetric and asymmetric similarity measures yields better result than their use separately.     

长螺旋钻孔取土与静力压桩时间间隔的分析

通过灰色关联分析建立起影响长螺旋钻孔机取土与静力压桩时间间隔分类的指标体系，应用灰色关联度分析各指标的关联程度，从而达到从各分类中找到最优时间间隔的目的。     

从《哲学树》到“哲学树”：关联性文化 景观自然原型象征意义的解读途径研究

“关联性文化景观”中“自然元素”与其“非物质 要素”的结合方式因高度抽象的表达及多样的意义生成背景， 其阐释途径的合理解读具有复杂性，对之进行解读是揭示“关 联性文化景观”的重要途径之一。首先以分析心理学派代表人 物荣格《哲学树》中的11幅心理绘画“树原型”作为研究材 料，通过总结普适性的“还原性文本”，分析其叙事文本、意 指作用、隐喻关系；进而揭示其蕴含的人类视野中宏大的“世 界树原型象征”，通过文化升华后的“原型象征”进一步阐释 人类对“自然元素”的意义加工和修饰；最终得以形成超越 “自然元素”单纯本体的“哲学树”。并以此建构理解“关联 性文化景观”自然原型象征意义的途径，指出人类通过意识形 态下基于个人或集体的精神世界中“自然元素”印刻在“还原 性文本”中的方式，具象化“非物质要素”与“自然元素”动 态呈现关系在“关联性文化景观”语境下的表达方式，为解读 其他“关联性文化景观”原型象征的诸多意义提供参考。     

XANDAR PHARMACEUTICAL: A model plant for process engineering education

This study explores the implementation of a detailed model pharmaceutical production facility in an undergraduate engineering class. Xandar Pharmaceuticals (XP), a fictitious manufacturer, was created and presented to undergraduate engineering students during a current good manufacturing practices (cGMP¹) course in two forms: (1) 3D virtual model and (2) 3D printed model. Data was collected from three separate cohorts over three years with a total of 197 participants. Surveys would gauge student’s sentiments and collect feedback, while quizzes assessed technical understanding. Statistical analysis and effect size calculations would evaluate the differences among the three cohorts. Survey results indicate the 3D printed model has small positive effects on study vs control (groups) regarding understanding of general industry related functions and practices. The 3D printed model also improved students’ interest in critical thinking and investigation. Qualitative feedback and sentiment analysis indicate the model was well received by students and received positive feedback related to visualization, industrial relevance, and student engagement. Use of the 3D printed model (but not the 3D virtual model) has had positive quantitative effects on student quiz scores and feedback. Qualitative improvements to student attitudes and interest are encouraging and suggest further use of 3D printed models in other courses may be beneficial.     

锂离子电池循环寿命的融合预测方法

针对传统基于粒子滤波的锂离子电池剩余使用寿命预测方法的不足:过度依赖电池经验退化模型和模型输入变量单一的问题,提出了一种相关向量机、粒子滤波和自回归模型融合的锂离子电池剩余寿命预测的方法。通过相关向量机提取电池历史数据的退化趋势,构建趋势方程替换以往的电池经验退化模型,作为粒子滤波算法的状态转换方程。引入自回归模型的长期趋势预测值,替换观测值构建粒子滤波算法的观测方程。将3种方法相融合估计电池剩余寿命。实验结果表明:融合方法不仅预测精度高而且采用数据驱动的方法避免了构建复杂的电池机理退化模型,通用性强。     

农药有机废水COD与TOC关系的研究

针对农药厂高、中、低浓度的三类废水,测定其COD与TOC,并对测定值进行一元线性回归分析。结果表明,有机物成分稳定的废水不管浓度高低其COD与TOC均具有显著的相关性,可以建立相应的回归模型,模型计算值与测定值相对偏差小于5%。     

基于DS18B20的关联型温度检测系统的设计与实现

针对传统的温度检测系统对于通信基站测温点少、检测实时性和准确性较低的问题。设计了一种基于DS18B20温度传感器关联性模型的温度检测系统,通过建立不同位置测温值的关联模型,实现对温度异变信号的声光报警和自动处理等功能。该系统以DS18B20温度传感器为核心,设计了温度检测电路、数据关联电路、声光报警电路、继电器控制散热电路等模块。运行证明：本系统相对于传统的温度检测方法,系统的精确性和实时性都有明显改善,为通信基站的安全运行提供了可靠保障。     

基于智能优化相关向量机的综合传动变工况直驶传递效率预测

传递效率是表征履带车辆综合传动装置性能的重要指标之一,但综合传动装置内部复杂的动力传递路径和外部工作环境导致其传递效率预测模型建模困难,无法保证传递效率的准确计算。基于上述分析,提出一种基于综合传动装置直驶模式下多种工况传递效率数据驱动的传递效率预测方法。对75台综合传动装置不同工况下的传递效率数据进行统计分析并得到统计特征;通过统计特征选择智能优化相关向量机进行传递效率预测建模,进而实现待测综合传动装置在变工况直驶模式下的传递效率预测。结果表明,变工况下测试样本传递效率预测结果的平均绝对误差和均方根误差分别控制在0.01和0.02以内,验证了该方法的可行性和正确性。