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。     

Building a text collection for Urdu information retrieval

Urdu is a widely spoken language in the Indian subcontinent with over 300 million speakers worldwide. However, linguistic advancements in Urdu are rare compared to those in other European and Asian languages. Therefore, by following Text Retrieval Conference standards, we attempted to construct an extensive text collection of 85 304 documents from diverse categories covering over 52 topics with relevance judgment sets at 100 pool depth. We also present several applications to demonstrate the effectiveness of our collection. Although this collection is primarily intended for text retrieval, it can also be used for named entity recognition, text summarization, and other linguistic applications with suitable modifications. Ours is the most extensive existing collection for the Urdu language, and it will be freely available for future research and academic education.     

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.     

灰色关联分析法在铁矿技术经济评价中的应用

矿产资源是国民经济发展的物质基础，建立科学实用的铁矿资源开发利用技术经济评价模型十分重要。通过收集1994～2001年的铁矿资源开发利用的数据资料，利用灰色系统理论中的灰色关联分析方法进行处理，得到了铁矿资源的采选冶技术经济指标与最优指标的关联系数，从而得到了铁矿资源1994～2001年技术经济指标的总体变化状况。     

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。     

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。     

城市中心区功能要素的构成、关联与分布——基于资本循环的演替分析

城市中心区作为城市的核心,涉及功能构成、关联、分布在内的中心区功能结构的变化,与资本循环变化紧密相关,并随着城市资本循环的演替而逐步变化。首先,分析总结了中心区功能要素的基本构成及资本循环的影响。其次,从产业、交通、空间等方面对中心区要素关联进行了分析和解释,研究了在不同发展阶段中心区规模提升、类别优化、关联方式优化以及构成多元化对优化中心区功能关联和增强中心区吸引力的作用;最后,提出功能分区是功能关联的空间体现,对工业化早期的功能混合、中期显现的功能分区、后期不同类型产业的分工协作以及后工业化时期出现的功能多元化与相对混合等特征进行了总结。     

宁波地区基于统计升尺度的新能源区域功率预测算法

为实现电网调度对大规模风电场和光伏站的监控和调度,需要进行新能源区域功率预测。提出了一种基于子区域划分和统计升尺度的区域功率预测算法,通过浙江区域9个风电场和16个光伏站2016年4-9月的历史数据,对比了6种不同的组合方案,发现利用互信息理论,基于最大相关–最小冗余原则累加选取4个代表站点或者直接选取9个代表站点,采用布谷鸟搜索算法训练得到各个代表站点的权重,升尺度得到区域功率预测误差较低,月均方根误差(RMSE)分别为8.51%和7.64%。说明在夏季风盛行时,在浙江区域采用互信息为指标,基于最大相关–最小冗余的原则选取代表站点后,再采用布谷鸟搜索算法得到子区域功率预测值,累加各子区域功率预测结果为最终的区域功率预测结果最优。     

峰谷电价下居民用电聚合响应特性分析

通过问卷调研和相关文献分析居民用电负荷特性,介绍居民用户电价响应经济学机理。根据南京市典型居民小区历史数据研究电价变化点负荷增长率,分析峰谷电价下居民小区用电聚合响应特性,对比多区域居民负荷增长率并引进峰谷电量比分析,总结居民峰谷电价用电特性及影响因素,分析原因并提出建议。     

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.