油库监控网络及信息集成方法

本文研究了基于现场总线的油库计算机网络监控系统、实时监控系统与办公自动化和管理自动化系统的集成模式及方法以消除油库信息"孤岛",构成从实时监控到信息管理的集成网络平台,构筑油库管理和监控一体化网络平台.     

一种低失真衰减的智能网络视频监控识别系统

基于音视频处理的图像传输和通信算法设计是实现网络视频监控和智能识别的基础,传统的网络视频监控识别系统因视频图像的传输过程中的时延敏感编码,导致失真衰减,视频识别性能不好。提出并设计了一种基于MPEG-4的网络视频监控及智能识别系统,用MUX101程控开关控制MPEG-4中的AD8021芯片进行反馈电阻控制实现视频放大,选用程控放大器VCA810,由DSP控制其控制电压达到调整放大倍数的目的,实现准确地采集网络视频数据。将RGB分量转化成亮度分量和色差分量,在使用RLE行程编码和Huffman编码来完成压缩任务,进行视频通信传输中的智能识别和监控,采用串并联复合式宽带阻抗匹配网络控制方法,提高数据采集系统的灵敏度和稳定性,抑制失真衰减,提高视频监控中对敏感特征的识别能力。系统测试结果表明,采用该系统进行网络视频智能监控识别,对敏感特征的检测的性能较好,能有效抑制失真衰减,提高对网络视频的识别精度。     

网络环境下的信息资源组织方法分析

介绍了传统的信息组织方法和现有的元数据方法在网络环境下的应用,分析其各自的特点,并对信息组织方法的发展趋势进行了探讨。     

网络信息资源组织方法综述

网络时代的到来使传统信息资源组织方法面临挑战，本文从网络信息资源组织方法角度出发，对国内学者有关该问题的研究情报作出综述。     

网络信息资源整编技术研究

描述了网络信息资源整编的MARC格式和元数据格式的技术特征,阐述了国内外网络信息资源整编技术概况．并对制订中文元数据框架体系进行了探讨。     

RSS:网络信息"聚合"利器

RES作为一种基于XML元数据标准的全新信息传播方式，已经在网络信息构建中得到越来越广泛的应用。本文介绍了RSS的起源、特点、基本原理及其主要应用模式。     

网络信息组织机制分析

介绍了网络信息组织的原理、过程、方式以及工具，并对网络信息组织的现状及发展趋势进行了简要的探讨。     

网络信息资源的知识组织方法

The paper summarizes the characteristics and problems of Interact information resources, and discusses the concept and theoretical basis of knowledge organization. Methods of knowledge organization for Intemet information re-sources, such as knowledge representation, knowledge reorganization, knowledge clustering, knowledge editing and metadata are described.     

论网络信息的索引方式

认为数据库技术推动了索引方式的现代化，进而对人工索引、自动索引、基于网络机器人的索引、基于元数据方式的索引等4种网络信息的索引方式进行了分析比较。     

An implicit feedback approach for interactive information retrieval

Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this article, we describe an approach that uses unobtrusive monitoring of interaction to proactively support searchers. The approach chooses terms to better represent information needs by monitoring searcher interaction with different representations of top-ranked documents. Information needs are dynamic and can change as a searcher views information. The approach we propose gathers evidence on potential changes in these needs and uses this evidence to choose new retrieval strategies. We present an evaluation of how well our technique estimates information needs, how well it estimates changes in these needs and the appropriateness of the interface support it offers. The results are presented and the avenues for future research identified.     

Explicit time embedding based cascade attention network for information popularity prediction

Predicting information cascade popularity is a fundamental problem in social networks. Capturing temporal attributes and cascade role information (e.g., cascade graphs and cascade sequences) is necessary for understanding the information cascade. Current methods rarely focus on unifying this information for popularity predictions, which prevents them from effectively modeling the full properties of cascades to achieve satisfactory prediction performances. In this paper, we propose an explicit Time embedding based Cascade Attention Network (TCAN) as a novel popularity prediction architecture for large-scale information networks. TCAN integrates temporal attributes (i.e., periodicity, linearity, and non-linear scaling) into node features via a general time embedding approach (TE), and then employs a cascade graph attention encoder (CGAT) and a cascade sequence attention encoder (CSAT) to fully learn the representation of cascade graphs and cascade sequences. We use two real-world datasets (i.e., Weibo and APS) with tens of thousands of cascade samples to validate our methods. Experimental results show that TCAN obtains mean logarithm squared errors of 2.007 and 1.201 and running times of 1.76 h and 0.15 h on both datasets, respectively. Furthermore, TCAN outperforms other representative baselines by 10.4%, 3.8%, and 10.4% in terms of MSLE, MAE, and R-squared on average while maintaining good interpretability.     

公共图书馆网络信息资源建设研究

本文通过对网络信息资源的类型和特点,从数字化资源组织语言、数字化资源组织框架、网上资源利用、馆藏资源数字化建设角度论述了公共图书馆网络信息资源建设。     

企业的市场机遇信息搜索社会网络研究

摘要：社会网络作为影响市场机遇信息搜索的重要因素之一,在研究和实际中得到了越来越多的关注。本文结合社会网络理论对企业市场机遇信息搜索社会网络(ESNSMOI)进行研究,以提高企业的市场机遇信息搜索能力。首先分析了ESNSMOI的特性,接着提出四种类型的ESNSMOI,并对其功能和结构进行了分析和比较,最后通过案例分析对某银行的ESNSMOI进行了进一步讨论。     

A SEM-neural network approach for predicting antecedents of m-commerce acceptance

Higher penetration of powerful mobile devices – especially smartphones – and high-speed mobile internet access are leading to better offer and higher levels of usage of these devices in commercial activities, especially among young generations. The purpose of this paper is to determine the key factors that influence consumers’ adoption of mobile commerce. The extended model incorporates basic TAM predictors, such as perceived usefulness and perceived ease of use, but also several external variables, such as trust, mobility, customization and customer involvement. Data was collected from 224 m-commerce consumers. First, structural equation modeling (SEM) was used to determine which variables had significant influence on m-commerce adoption. In a second phase, the neural network model was used to rank the relative influence of significant predictors obtained from SEM. The results showed that customization and customer involvement are the strongest antecedents of the intention to use m-commerce. The study results will be useful for m-commerce providers in formulating optimal marketing strategies to attract new consumers.     

关于我国网络信息资源建设的思考

网络信息资源是社会信息化和信息网络化的必要条件和重要因素。在阐述网络信息资源与传统信息资源区别的基础上，指出了我国网络信息资源建设应遵循的原则，最后分析了网络信息资源建设的方法与途径。     

网络群体极化的信息学解释

本文试图从信息学的视角对网络群体极化进行分析,同时给出如何更好的规避或利用网络群体极化的建议。     

电力综合数据网闪断故障研究

电力综合数据网主要承载变电站生产管理信息系统、办公自动化、变电站图像监控等数据业务。随着电力系统信息化水平的提高,业务流量急剧增加,对网络的稳定性和可靠性要求越来越高。文章以桂林供电局电力综合数据网为载体,对综合数据网闪断故障进行原因分析与研究,并提出行之有效的故障处理方法,从根本上解决该类故障,进一步提高了网络的稳定性和可靠性。     

公共突发事件应急统计中信息快速收集方法和机制研究

公共突发事件下,应急统计工作的首要环节就是对于事件信息的收集,快速、有效地收集到相关信息才能给应急管理部门决策提供依据,最大限度地降低损失。详细讨论了公共突发事件应急统计信息收集的内容、特点及其收集方法,并针对自然灾害,提出了基于应急统计信息收集中心的信息快速收集机制;针对突发公共卫生事件,提出了基于网络直报的信息快速收集机制,为改进应急统计信息收集工作提供了依据。