面向短文本的命名实体识别

针对短文本命名实体识别这项紧缺任务,提出了一种面向短文本的快速有效的命名实体识别方法。该方法主要分成三步：第一步,针对短文本表达不规范特性对命名实体识别的干扰,采取去干扰字符,化繁为简等规范化操作。第二步,针对短文本语意不完整特性,提出用HMM（隐马尔可夫模型）以词性做观察值进行初步命名实体识别。第三步,据初步识别结果,构建拼音同指关系库来识别潜在实体。在由8464篇短文本构成的测试集上运行的实验表明,该方法能较好地进行短文本命名实体识别。     

Pattern discovery and change detection of online music query streams

Mining of music data is one of the most important problems in multimedia data mining. In this paper, two research issues of mining music data, i.e., online mining of music query streams and change detection of music query streams, are discussed. First, we proposed an efficient online algorithm, FTP-stream (Frequent Temporal Pattern mining of streams), to mine all frequent melody structures over sliding windows of music melody sequence streams. An effective bit-sequence representation is used in the proposed algorithm to reduce the time and memory needed to slide the windows. An effective list structure is developed in the FTP-stream algorithm to overcome the performance bottleneck of 2-candidate generation. Experiments show that the proposed algorithm FTP-stream only needs a half of memory requirement of original melody sequence data, and just scans the music query stream once. After mining frequent melody structures, we developed a simple online algorithm, MQS-change (changes of Music Query Streams), to detect the changes of frequent melody structures in current user-centered music query streams. Two music melody structures (set of chord-sets and string of chord-sets) are maintained and four melody structure changes (positive burst, negative burst, increasing change and decreasing change) are monitored in a new summary data structure, MSC-list (a list of Music Structure Changes). Experiments show that the MQS-change algorithm is an effective online method to detect the changes of music melody structures over continuous music query streams.

数字图书馆用户教育培训工作探讨

本文针对数字图书馆所具有的特点,对用户信息需求和用户教育呈现出的新特点进行了总结,并在此基础上对数字图书馆用户教育的原则、方法和途径进行了探讨。     

融合序列分解与Prophet模型的时序预测

传统时序预测方法其预测过程无法在相同数据集上推出共享模式, 而机器学习方法无法较好地处理非线性和大规模数据集, 并且需要手动设计特征工程. 深度学习方法弥补了传统预测方法需要高计算高人力的弊端, 用自动学习特征工程代替了手动设计特征工程. 但仅使用深度学习的预测方法所作结构假设较少, 通常需要较高的计算资源以及大量的数据来学习得到准确的模型. 针对上述问题, 本文提出通过采用融合t检验的EMD经验模态将序列分为高频分量和低频分量, 对高频分量使用传统STL序列分解方法进一步对数据做处理, 对高频、低频分量分别进行Prophet预测. 实验结果表明, 相较于传统的LSTM以及Prophet预测模型, 经过STL序列分解后的周期数据能够提升模型的整体预测精确度而融合EMD经验模态的Prophet模型则大大提升了训练效率.     

基于云计算下的高校图书馆数据安全策略的探讨

云计算是继网格计算后又一项正在兴起中的技术,它的出现使"互联网上众多的计算机成为一台虚拟超级计算机"的梦想慢慢变成了现实.云计算下高校图书馆的信息安全问题,一方面来自云服务提供商提供的安全保障,另一方面来自高校图书馆的信息安全需求.针对高校图书馆可能面临的安全存储、访问控制、权限管理、数据保密及知识权等信息安全问题,云...     

自动测试系统中的仪器设备驱动通用封装研究

在目前的自动测试系统软件开发中,虚拟仪器设备指令的非通用性会导致系统开发繁琐、无法集成等问题,针对这些问题提出了一种适合大部分仪器设备的封装方法;这种封装方法,通过动态链接库的形式将事件处理机制嵌入到仪器驱动封装里,拥有跨平台、适用面广、开发速度快和仪器可互换等特点;经过在实际雷达射频模块自动测试系统项目中的应用,结果表明该方法能够实现跨平台操作、具有仪器互换和封装简便等特点,并且表现出极强的通用性,具有一定的实用性和推广价值.     

TW8811的车载DVD图形化显示界面设计

介绍了TW8811的基本结构和特性,论述实现位图OSD的基本原理,给出了基于TW8811的车载DVD音影系统图形化用户界面的设计方案,并讨论关键元器件的选取及使用注意事项.该设计方案实现的车载音影系统操作界面友好、灵活性强,只需修改相应的图形库即可应用于需要视频图形叠加的其他领域.     

Scalable multi-feature index structure for music databases

The management of large collections of music data in a multimedia database has received much attention in the past few years. In the majority of current work, researchers extract the features, such as melodies, rhythms, and chords, from the music data and develop indices that will help to retrieve the relevant music quickly. Several reports have pointed out that these music features can be transformed and represented in forms of music feature strings or numeric values so that indices can be created for music retrieval. However, there are only a small number of existing approaches which introduce multi-feature index structures for music queries while most of the others are for developing single feature indices. The existing music multi-feature index structures are memory consuming and have lack of scalability. In this paper, we will propose a two-tier music index structure which is an efficient and scalable approach for multi-feature music indexing. Our experimental results show that this new approach outperforms existing multi-feature index schemes.     

Adolescent self-control and music and movie piracy

Recent studies have applied Grottfredson and Hirschi’s General Theory of Crime to investigate whether college students’ inclinations toward internet software piracy is related to low self-control and opportunity (i.e., computer ownership). Given the widespread use of the internet to illegally obtain copies of music and movies, it is important to understand the factors in this form of piracy as well. This study applied the self-control perspective to examine the attitudes of high school students toward the internet piracy of music and movies. Attitudes toward the internet piracy of music and movies were related to self-control, biological sex, internet experience, affiliation with deviant peers, and grade level in this study of high school students. This information is important because studies of internet piracy had not yet confirmed the presence and predictability of internet piracy in high school students. This study also suggests that piracy prevention efforts may be most appropriately focused on high school age individuals and directed toward increasing self-control.     

论数字图书馆系统中WEB服务器性能优化的方法

由于在数字图书馆系统中流通着的大多是数字化的索引、文摘、全文、图像或音频视频等多媒体信息,对Web服务器性能有着较高的要求.结合实际工程的经验,从硬件实现手段(缓存服务器、均衡负载设备、Web双机镜像等)和软件实现手段(多层软件结构设计、应用部署等)等两个大方面论述如何提高Web服务器性能,以便使用户能够更快捷、高效、安全地使用数字图书馆应用系统.