Semantic email: theory and applications

This paper investigates how the vision of the Semantic Web can be carried over to the realm of email. We introduce a general notion of semantic email, in which an email message consists of a structured query or update coupled with corresponding explanatory text. Semantic email opens the door to a wide range of automated, email-mediated applications with formally guaranteed properties. In particular, this paper introduces a broad class of semantic email processes. For example, consider the process of sending an email to a program committee, asking who will attend the PC dinner, automatically collecting the responses, and tallying them up. We define both logical and decision-theoretic models where an email process is modeled as a set of updates to a data set on which we specify goals via certain constraints or utilities. We then describe a set of inference problems that arise while trying to satisfy these goals and analyze their computational tractability. In particular, we show that for the logical model it is possible to automatically infer which email responses are acceptable w.r.t. a set of constraints in polynomial time, and for the decision-theoretic model it is possible to compute the optimal message-handling policy in polynomial time. In addition, we show how to automatically generate explanations for a process's actions, and identify cases where such explanations can be generated in polynomial time. Finally, we discuss our publicly available implementation of semantic email and outline research challenges in this realm.¹     

Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps

Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense disambiguation. This work evaluates the impact of different linguistic features on self-organized document maps for word sense disambiguation. The features evaluated are various qualitative features, e.g. part-of-speech and syntactic labels, and quantitative features, e.g. cut-off levels for word frequency. It is shown that linguistic features help make contextual information explicit. If the training corpus is large even contextually weak features, such as base forms, will act in concert to produce sense distinctions in a statistically significant way. However, the most important features are syntactic dependency relations and base forms annotated with part of speech or syntactic labels. We achieve 62.9% ± 0.73% correct results on the fine grained lexical task of the English SENSEVAL-2 data. On the 96.7% of the test cases which need no back-off to the most frequent sense we achieve 65.7% correct results.     

奥里油在火力发电厂的应用及环保处理

委内瑞拉富藏奥里油约469亿t，中国政府与委内瑞拉政府签订了合作生产并每年向中国供应650万t奥里油的合作协议。鉴于此，介绍了奥里油的特性及其在火力发电厂的应用情况，分析了燃烧奥里油发电带来的特有的环保问题和处理方法。     

关于水电开发特许权经营的探讨

在介绍资源开发特许权经营的国际经验的基础上，分析了我国实施水电资源开发特许权经营和必要性和可行性，认为实施水电资源开发特许权经营是市场经济发展的必然要求，是加快发展水电的需要，是水电发展的制度创新，它体现了公开、公正、公平的原则，有利于提高资源配置的效率。     

石泉水库主汛期拦蓄洪尾超蓄运用的风险分析

针对水资源匮乏和汛期水库大量弃水的矛盾，提出了有效的解决途径——汛期通过适时拦蓄洪尾超蓄运用的方式来充分利用洪水资源。拦蓄洪尾超蓄运用存在一定的风险，本文就超蓄运用的风险因素进行了识别分析，并从水文频率分析角度提出了计算超蓄风险率的方法；通过对石泉水库不同超蓄水位的风险率进行计算，结合可接受风险率值，得出了该水库拦蓄洪尾超蓄运用的期望水位。     

包装管理课程教学改革的实践

对包装管理教学中存在的一些问题进行了改进,通过教学实践,使学生了解和掌握现代化企业管理中的生产管理模式、科学的管理方法、先进制造技术,以及充分包装与物流的关系,从课程和教学方法上提出了一些方法.     

井下粉尘多参数检测的自适应方法

为提高井下粉尘计重含量检测精度并同时获得粒度分布参数,根据井下粉尘衍射光的角谱特征,提出了一种适合于在单片机上运行的算法。首先将衍射光角谱归一化,使得不同浓度但粒度分布相同的尘样具有相同的归一化角谱,而该角谱与给定模式的角谱的贴近程度则用差值平方和表征。由几个优选模式求得的计重含量或粒度分布取加权平均即可获得待求参数。考虑到现场环境中噪声抑制能力和对尘样多样性的适应能力至关重要,本文中最后给出了针对这两个方面的仿真实验结果。     

一种真空热解废电缆回收装置

本装置采用真空加热裂解塑料外皮并配以对热解气体进行化学处理的方法来回收废电缆金属.本装置具有处理废电缆回收金属经济、干净,无废气、废水、废渣排放,对环境无二次污染.装置结构简单易操作,占地面积小,适合对大量废电缆回收金属使用.     

超滤膜法城市污水深度处理中水回用中试试验研究

以高碑店污水处理厂二级出水为处理对象，建立日产中水500t的超滤中试试验装置，研究膜法城市污水深度处理中水回用的工艺和操作条件，考察所能达到的技术经济指标，掌握放大规律，为万吨级工业装置和系统的设计提供基础数据．试验装置连续运行了约2500h，膜性能稳定，产水水质达到生活杂用水标准(CJ．25．1—89)。     

HEMA共聚物水凝胶中水的存在状态

用过氧化二苯甲酰(BPO)作为引发剂，合成了N-乙烯基吡咯烷酮(NVP)／甲基丙烯酸β-羟乙酯(HEMA)和NVP/HEMA／甲基丙烯酸甲酯(MMA)共聚物水凝胶，用差热扫描量热法(DSC)和热重法(TG)对这些亲水凝胶中吸附水的状态进行了研究．结果表明，水凝胶中水的状态大致可分为自由水、可冻结的结合水和非冻结的结合水．不同用量的MMA与NVP和HEMA共聚，溶胀度不同，其吸附水中不同状态水的含量也有所差异，结果表明，随着MMA含量的增加，水凝胶中非冻结结合水的含量也增加。