Creating a live, public short message service corpus: the NUS SMS corpus

Short Message Service (SMS) messages are short messages sent from one person to another from their mobile phones. They represent a means of personal communication that is an important communicative artifact in our current digital era. As most existing studies have used private access to SMS corpora, comparative studies using the same raw SMS data have not been possible up to now. We describe our efforts to collect a public SMS corpus to address this problem. We use a battery of methodologies to collect the corpus, paying particular attention to privacy issues to address contributors’ concerns. Our live project collects new SMS message submissions, checks their quality, and adds valid messages. We release the resultant corpus as XML and as SQL dumps, along with monthly corpus statistics. We opportunistically collect as much metadata about the messages and their senders as possible, so as to enable different types of analyses. To date, we have collected more than 71,000 messages, focusing on English and Mandarin Chinese.     

Application mobility in pervasive computing: A survey

Pervasive computing applications often need to maintain uninterrupted computing experiences when users move across devices. This advanced feature, recognized as application mobility, brings many challenges to the pervasive computing community. For a better understanding of the challenges and existing approaches to application mobility, this paper surveys related work with a classification and comparison framework established along four dimensions of design concerns in application migration: temporal, spatial, entity and other concerns. Through this survey this paper attempts to provide a systematic reference for developers to leverage off among different migration strategies for seamless application mobility. Moreover, it sheds some light on future work directions.     

矿用IP广播对讲系统回声消除技术研究

分析了矿用IP广播对讲系统的回声产生路径,指出其回声具有来源复杂、路径延迟时间长、路径延迟抖动大的特点;提出在广播主机采用软件算法消除回声,在广播终端采用结构设计和硬件电路设计相结合的方法消除回声的方案。实际应用表明,该回声消除方案有效地提高了矿用IP广播对讲系统的通信质量,系统全双工扩音对讲通话效果良好。     

基于改进K-means聚类算法的组合模型建模

在传统的K-means聚类算法中,初始聚类是随机选取的,其聚类结果易随着不同的初始聚类中心波动.针对这一问题,首先采用最大距离积法对传统K-means聚类算法的初始聚类中心进行了优化.同时定义了一种新的目标函数并将其引用到传统的K-means聚类算法中,以实现对聚类结构类别数K的优化选择.将训练集样本数据经上述方法聚类后,再将各个子类分别建立基于支持向量机的子模型,通过开关切换的方式连接各子模型得到组合的支持向量机模型.将该方法应用于双酚A生产过程的缩合反应单元溶解罐出口苯酚含量的软测量建模.工业实例仿真结果表明:该算法能较好地跟踪苯酚含量的变化趋势,有效地改善了数据分类效果,提高了软测量模型的估计精度,显示了它在工业领域的应用潜力.     

An empirical molecular docking study of a di-iron binding protein with iron ions

Various molecular docking software packages are available for modeling interactions between small molecules and proteins.However,there have been few reports of modeling the interactions between metal ions and metalloproteins.In this study,the AutoDock package was employed to example docking into a di-iron binding protein,bacterioferritin.Each binding site of this protein was tested for docking with iron ions.Blind docking experiments showed that all docking conformations converged into two clusters,one for internal iron binding in sites within the metalloprotein and the other for external iron binding on the protein surface.Local docking experiments showed that there were significant differences between two internal iron binding sites.Docking at one site gave a reasonable root-mean-square deviation(RMSD) distribution with relatively low binding energy.Analysis of the binding mode quality for this site revealed that more than half of the docking conformations were categorized as having good binding geometry,while no good conformations were found for the other site.Further investigations indicated that coordinating water molecules contributed to the stability of binding geometries.This study provides an empirical approach towards the study of molecular docking in metalloproteins.     

远程监控系统在风力发电中的应用

介绍了风力发电的背景及监控系统的发展现状,分析了风电场远程监控系统的业务方案、数据存储方案、系统架构以及系统部署方式,对风电场监控系统的应用效果进行了总结,为国内相关研究及工程应用提供借鉴和参考。     

现代施工企业业绩评价及价值管理探讨

施工企业的发展依赖于先进的企业管理,现代施工企业管理的有效工具是价值管理及业绩评价.施工企业传统的业绩评价一般以已经发生的经济业务及其成果作为衡量依据,具有短期性和滞后性;真正有价值的业绩评价应当面向企业的战略计划和未来发展方向,在企业业绩评价和考核中引入价值管理理念,实现企业价值最大化.     

压力分散型锚索抗滑桩在文物保护工程中的应用

彬县大佛寺是丝绸古道上佛教兴盛时期的重要建筑之一,由于各方面因为,大佛寺明镜台台基存在滑坡及沉降问题,严重威胁文物建筑的整体稳定性.综合考虑多方面因素,提出采用压力分散型锚索与抗滑桩相结合的治理办法.采用有限元方法对加固前后效果的对比模拟分析,表明该方案对文物建筑抢险加固效果明显,为类似保护抢险工程提供了一定的参考价值...     

明渠弯道边界层的Markov特性研究

针对明渠弯道湍流边界层,利用一阶Markov过程并结合象限分析法,计算了转化模式的转化概率。结果指出各象限平均自转化概率为65.51%,76.98%,69.42%,76.97%,湍流猝发的喷射和清扫发生频率最高;自转化概率P22、P44沿河宽周期性向凸岸衰减,并在弯顶凹岸处达到最大值,其随着底部环流的增大有微弱减小,但...     

遗传-神经网络算法在水下隧道涌水量预测中的应用

水下隧道涌水问题受到多种因素的综合影响,具有非线性和高度复杂性。本文应用遗传算法和BP神经网络,结合工程实例,选用隧道围岩裂隙发育情况、上覆含水体富水性、上覆水压、隧道埋深、隧道围岩上覆相对隔水层强度和上覆基岩破碎带与隧道顶板的距离作为影响水下隧道涌水的主要因素,以调查的数据作为训练样本,使用遗传算法优化BP神经网络的初始权值和阈值,建立了水下隧道涌水量的遗传-神经网络预测模型,并进行了计算分析。结果表明:该模型收敛性能好,预测精度高,简单可行。该方法为水下隧道涌水量的预测提供了一条新思路。