HTML5在移动互联网中的应用

随着移动通信技术的革新及互联网产业的迅猛发展,以移动互联网为代表的移动数据业务呈现出快速增长的势头,HTML5的出现给移动互联网带来了新的变革。本文首先介绍了移动互联网的发展现状、业务模式,HTML5的发展与技术特点,然后对HTML5在移动互联网中的应用进行了阐述,并列举了部分案例。     

用ASP.NET开发基于Web的综合测评系统

利用ASP .NET技术构建基于Web的动态交互式综合测评系统 ,该系统可以在Windows 2 0 0 0 /XP局域网或Internet上使用 ,测评内容修改方便 ,适用范围广泛。     

An architectural design for effective information retrieval in semantic web

The current web IR system retrieves relevant information only based on the keywords which is inadequate for that vast amount of data. It provides limited capabilities to capture the concepts of the user needs and the relation between the keywords. These limitations lead to the idea of the user conceptual search which includes concepts and meanings. This study deals with the Semantic Based Information Retrieval System for a semantic web search and presented with an improved algorithm to retrieve the information in a more efficient way.This architecture takes as input a list of plain keywords provided by the user and the query is converted into semantic query. This conversion is carried out with the help of the domain concepts of the pre-existing domain ontologies and a third party thesaurus and discover semantic relationship between them in runtime. The relevant information for the semantic query is retrieved and ranked according to the relevancy with the help of an improved algorithm. The performance analysis shows that the proposed system can improve the accuracy and effectiveness for retrieving relevant web documents compared to the existing systems.     

面向口语统计语言模型建模的自动语料生成算法

在资源相对匮乏的自动语音识别(Automatic speech recognition, ASR)领域, 如面向电话交谈的语音识别系统中, 统计语言模型(Language model, LM)存在着严重的数据稀疏问题. 本文提出了一种基于等概率事件的采样语料生成算法, 自动生成领域相关的语料, 用来强化统计语言模型建模. 实验结果表明, 加入本算法生成的采样语料可以缓解语言模型的稀疏性, 从而提升整个语音识别系统的性能. 在开发集上语言模型的困惑度相对降低7.5%, 字错误率(Character error rate, CER)绝对降低0.2个点; 在测试集上语言模型的困惑度相对降低6%, 字错误率绝对降低0.4点.     

A dynamic analysis of the interplay between asynchronous and synchronous communication in online learning: The impact of motivation

With the increased affordances of synchronous communication tools, more opportunities for online learning to resemble face‐to‐face settings have recently become available. However, synchronous communication does not afford as much time for reflection as asynchronous communication. Therefore, a combination of synchronous and asynchronous communication in e‐learning would seem desirable to optimally support learner engagement and the quality of student learning. It is still an open question though, how to best design online learning with a blend of synchronous and asynchronous communication opportunities over time. Few studies have investigated the relationship between learners' actual use of synchronous and asynchronous communication over time. Therefore, this study addressed that relationship in an online course (N = 110), taking into account student motivation, and employing a dynamic inter‐temporal perspective. In line with our assumptions, we found some support for the expected association between autonomous motivation and engagement in asynchronous and synchronous communication, be it restricted primarily to the first course period. Also, positive relations between engagement in synchronous and asynchronous communication were found, with the strongest influence from using asynchronous to synchronous communication. This study adds to the knowledge base needed to develop guidelines on how synchronous communication can be combined with asynchronous learning.     

Self-scaling cooperative discovery of service compositions in unstructured P2P networks

We propose an efficient technique for improving the performance of automatic and cooperative compositions in unstructured Peer-to-Peer networks during service discovery. The technique exploits a probabilistic forwarding algorithm that uses different sources of knowledge, such as network density and service grouping, to reduce the amount of messages exchanged in the network. The technique, analysed in several network configurations by using a simulator to observe resolution time, recall and message overhead, presents good performance especially in dense and large-scale service networks.     

Language independent search in MediaEval's Spoken Web Search task

In this paper, we describe several approaches to language-independent spoken term detection and compare their performance on a common task, namely “Spoken Web Search”. The goal of this part of the MediaEval initiative is to perform low-resource language-independent audio search using audio as input. The data was taken from “spoken web” material collected over mobile phone connections by IBM India as well as from the LWAZI corpus of African languages. As part of the 2011 and 2012 MediaEval benchmark campaigns, a number of diverse systems were implemented by independent teams, and submitted to the “Spoken Web Search” task. This paper presents the 2011 and 2012 results, and compares the relative merits and weaknesses of approaches developed by participants, providing analysis and directions for future research, in order to improve voice access to spoken information in low resource settings.     

轴向冲击下波纹腹板梁的失稳控制和能量吸收

针对Sine波纹腹板梁结构,通过设计其初始振幅缺陷,控制不同波形阶数下波纹梁的失稳模态,引导上下翼板按预期渐进、稳定、可重复的压溃变形模式发展.采用Abaqus/Explicit中的显式动力学方法数值模拟初始振幅缺陷与比吸能(Specific Energy Absorption,SEA)的关系.通过对比低阶、中阶和高阶波形的载荷-位移曲线说明波形阶数对吸能特性和失稳控制的影响.结果表明:对于给定的波形阶数,存在初始振幅缺陷的临界值使Sine波纹腹板梁结构达到预期的临界失稳状态,同时SEA最大;初始振幅缺陷越大,失稳控制越容易,但吸能效果随之降低.     

基于web的外贸企业资金流管理平台的设计

本文针对外贸型企业对外贸易服务流程中的资金流动和资金流管理中存在的问题,设计了一个基于Web的外贸企业资金流管理平台,实现跨地域、多角色、实时的资金流录入、统计和分析,使企业能够高效准确地管理业务和资金流,能够随时统计资金的流向以及分析盈利情况;着重论述外贸企业资金流管理需求、基于Web的系统框架设计、数据加密存储、加密传输、用户角色及权限控制等。     

试谈在中职游戏设计类专业进行游戏引擎教学研究

中职类学校的游戏设计类专业,应该让学生学习些简单的游戏引擎设计,让学生能全面感知游戏的构成,从而有利于学生的就业和未来的再学习。