Impact of commercial search engines and international databases on engineering teaching and research

For the last three decades, the engineering higher education and professional environments have been completely transformed by the ‘electronic/digital information revolution’ that has included the introduction of personal computer, the development of email and world wide web, and broadband Internet connections at home. Herein the writer compares the performances of several digital tools with traditional library resources. While new specialised search engines and open access digital repositories may fill a gap between conventional search engines and traditional references, these should be not be confused with real libraries and international scientific databases that encompass textbooks and peer-reviewed scholarly works. An absence of listing in some Internet search listings, databases and repositories is not an indication of standing. Researchers, engineers and academics should remember these key differences in assessing the quality of bibliographic ‘research’ based solely upon Internet searches.     

Automated Latent Growth Curve Model Fitting: A Segmentation and Knot Selection Approach

Latent growth curve models are widely used in the social and behavioral sciences to study complex developmental patterns of change over time. The trajectories of these developmental patterns frequently exhibit distinct segments in the studied variables. Latent growth models with piecewise functions for repeated measurements of variables have become increasingly popular for modeling such developmental trajectories. A major problem with using piecewise models is determining the precise location of the point where the change in the process has occurred and uncovering the related number of segments. The purpose of this paper is to introduce an optimization procedure that can be used to determine both the segments and location of the knots in piecewise linear latent growth models. The procedure is illustrated using empirical data in order to detect the number of segments and change points. The results demonstrate the capabilities of the procedure for fitting latent growth curve models.     

搜索引擎的发展探述

对第二代搜索引擎的现状进行了全面客观的分析,总结归纳出其当今所面临的困境,并以此为基础,提出了搜索引擎将采用何种新技术来提高搜索引擎的性能,实现更加智能化、个性化的搜索     

“课程思政”与“发动机原理”专业课结合的探索实践

思政课是高校对学生所进行的思想道德教育,专业课是教授高校学生某个领域中专业技能的课程,两者之间其实有着内在联系。文章针对车辆工程专业课“发动机原理”,从专业课程开展思政教育的环节、课程思政的教学实践以及课程思政的实施方案三个方面探讨如何在“发动机原理”上进行思想政治的教育。     

一种个性化Agent元搜索引擎技术

在使用元搜索引擎进行检索的过程中,由于返回结果的数量较大,不利于用户快速、准确地找到所需信息.本文提出一种基于Agent的元搜索引擎结果优化技术,旨在通过建立需求模型对检索结果进行优化,从而针对用户各自不同的需求提供更具个性化的信息.     

Internet信息最优查询设计

本文分析了信息查询的方法及主要搜索引擎的特点，设计了信息最优查询的步骤及检索策略。     

情报检索的理论和方法在改善搜索引擎搜索性能中的应用

本文认为计算机情报检索的理论与方法对改善搜索引擎的搜索性能具有重要意义，并从索引数据库和检索功能两方面探讨了改善其搜索性能的措施。     

Emergency management through information crowdsourcing

This article proposes a new framework to model a scenario in which First Responders, citizens, smart devices, or robots explore the environment in an emergency situation, i.e., after an earthquake, assessing damages and searching for people needing assistance. While moving, the agents observe events and exchange the information collected with other agents encountered: to this end, they use messaging systems purposely adapted to use point-to-point network connections to allow local data exchange between agents even when global network connections are not available. As is common in Delay Tolerant Networks, exchanged messages are locally stored: when a global network is available, the agents can upload all the information collected by themselves and other agents they encountered to a Control Room or a database in the Cloud. Differently from traditional DTN algorithms such as Epidemic and Spray&Wait, we propose a solution that keeps track of agents that shared information along the path and assess the quality of the information collected by multiple agents through a reputation-based mechanism that is safer than majority voting. A simulator compatible with OpenStreetMap is presented, as well as simulated experiments in two Italian towns to validate the feasibility of the approach.     

搜索引擎“沙盒效应”的研究及分析

搜索引擎＂沙盒效应＂是这几年的热门话题,很多网站遭遇过类似情况,＂沙盒效应＂也会给新生网站带来麻烦,怎样走出＂沙盒效应＂对网站来说有着非常重要的意义。     

学术搜索引擎的特点及发展趋势——基于Google Scholar、百度国学、CNKI、Scirus的比较研究

百度国学和CNKI是国内两个重要的中文学术搜索引擎,Google Scholar和Scirus是国际公认的专业学术搜索引擎,介绍了它们各自的特点及其功能,分别从数据库、检索功能、检索结果与用户界面3个方面来比较分析了它们各自的异同点,并对学术搜索引擎的发展趋势做了展望。