SCI(Scalable Coherent Interface)上软件DSM系统的实现与性能

介绍了软件 DSM系统 JIAJIA在 SCI网络上的实现 .利用 SCI的编程接口 SISCI重新设计和实现了 JIAJIA的通信模块 .并进一步对其进行了性能测试和分析 ,结果显示 ,在 SCI网络上 JIAJIA的性能得到了大幅度的提高 ;值得注意的是 ,系统对小消息性能的提高明显低于对大消息性能的提高     

自动化学科国家杰出青年科学基金申请人代表性论著期刊影响力分析

本文统计了2013～2015年信息科学部自动化学科国家杰出青年科学基金（以下简称“杰青基金”）项目申请人代表性论著所属期刊的分布情况.研究结果显示杰青基金申请人“近5年内发表的5篇代表性论著”（以下简称“代表性论著”）的选择与JCR（Journal citation report）期刊影响因子和中科院JCR分区无明显相关，表明基于JCR期刊影响因子和中科院JCR分区所建立的学术评价体系具有一定的局限性.本文的研究结果有望为建立更具有指导意义的、充分符合各研究领域自身特点的期刊评估指标和学术评价体系提供新的思路.     

扭曲光栅光束质量M~2因子测量软件系统开发

设计出振幅型正交二次扭曲光栅,实现了一种光束质量M2因子实时测量技术。利用Microsoft Visual C++6.0开发平台,并基于MATCOM混合编程实现正交散焦光栅的软件测量系统。利用VC6.0直接调用MATCOM库函数的方式实现了对多个测量数据可视化表达。结果表明,基于混合编程的方法在光束质量M2因子测量系统软件开发中极大地降低了编程的工作量,提高了软件开发效率,软件系统平均测量周期小于100ms。     

基于通用类模块的VB编程技巧

编制程序表现层的最大工作量在于业务数据（业务类）与界面控件的交互上,开发人员要把表现层上的各种控件与业务数据绑定并利用控件的各种事件、属性等来实现数据的增加、更新和删除.文章介绍在VB6.0环境下,利用通用类模块来减少编程代码量的方法.     

文本挖掘技术在科研信息自动建议中的应用

研究了科研期刊文献文本数据的特点,将文本挖掘技术用于对科研期刊文本数据的分析和处理中,提出了基于文本挖掘技术的科研信息自动建议系统。结合国内信息领域较有影响的3种期刊2007全年的期刊文章,进行了实例仿真。     

优化设计SCI软件反射存储网的逻辑拓扑

SCI(IEEE1596-1992)高速互连协议以其极低延迟的特点被应用于许多关键领域.SCI软件反射存储网是基于SCI的软件分布式共享存储系统,主要用于集群并行计算和实时系统中的数据共享.结点通过读写物理上分布、逻辑上唯一的共享存储空间共享数据.任何结点写入数据时,数据将以一定的逻辑拓扑被传送到所有结点的物理内存上.传送数据的逻辑拓扑直接影响网络的写延迟,因此提出一种动态、低延迟的最优树逻辑拓扑,并在此基础上设计和实现了延迟低、易编程的SCI软件反射存储通信库-RFM.实验证明,提出的最优树逻辑拓扑设计大大降低了网络的写延迟,提高了网络的通信性能.     

MapReduce集群环境下的数据放置策略

MapReduce是一种适用于大规模数据密集型应用的有效编程模型,具有编程简单、易于扩展、容错性好等特点,已在并行和分布式计算领域得到了广泛且成功的应用.由于MapReduce将计算扩展到大规模的机器集群上,处理数据的合理放置成为影响MapReduce集群系统性能(包括能耗、资源利用率、通信和I/O代价、响应时间、系统的可靠性和吞吐率等)的关键因素之一.首先,对MapReduce编程模型的典型实现——Hadoop缺省的数据放置策略进行分析,并进一步讨论了MapReduce框架下,设计数据放置策略时需考虑的关键问题和衡量数据放置策略的标准;其次,对目前MapReduce集群环境下的数据放置策略优化方法的研究与进展进行了综述和分析;最后,分析和归纳了MapReduce集群环境下数据放置策略的下一步研究工作.     

遥感卫星数据记录系统误码测试技术研究

在论述遥感卫星数据记录系统对记录数据高准确率要求的基础上,文中结合伪随机序列的特性,研究并实现了一种简单易行的误码率测试方法.并介绍了此方法在Visual C++6.0环境下的编程实现.在实际应用中取得良好的效果.     

机械制造业中PDM集成系统的开发与应用

以机械图纸设计为着重点,用VB6.0编程实现图纸属性内容提取,通过产供销统计分析产品数据,实现较完整的机械PDM系统.     

基于MSComm控件的PC与AVR串口通信实现

RS-232串口通信因其硬件线路简单、应用灵活方便,在很多领域得到了广泛应用。文章在基于MSComm控件原理基础上详细介绍了利用VC＋＋6.0编程实现上位机PC与下位机AVR之间的串口通信方法以及上下位机之间协议的编写,并给出了具体代码和解释。对VC＋＋6.0编程者以及AVR单片机学习者具有一定的参考价值。     

Citation analysis and bibliometric research in the field of ergonomics

Given that journal impact factors now represent such a “hot” topic in the modern scientific world, it is essential that ergonomists remain fully cognizant of the citation‐based research that has been conducted in our field. This article reviews and examines bibliometric research in the ergonomics profession, ranging from seminal work on content analysis and citation indexing, to some of the latest research describing ergonomics journal lists and longitudinal impact factor trends. Overall, history has shown how citation‐based studies have become increasingly common in the ergonomics field during the past few decades, and, as we move through the 21st century, ergonomics journals continue to mature as a result. © 2010 Wiley Periodicals, Inc.     

Bibliometric analysis on cardiovascular disease treated by traditional Chinese medicines based on big data

In recent years, with the ageing of the population, environmental degradation and dietary abnormalities, the incidence of global cardiovascular disease has increased sharply, its serious impact on physical and mental health of humans is an important factor. Chinese medicine has a long history and significant efficacy in the treatment of cardiovascular disease. Based on the bibliometric method in the context of big data, this paper searched and screened the relevant literatures of TCM in the treatment of cardiovascular diseases included by SCI from 2004 to 2016 and analysed them from the aspects of annual change, regional distribution, institutional distribution, journal source, research field, highly cited literatures, high-frequency keywords and so on. The analysis results show that the total amount of literature in the treatment of cardiovascular diseases by traditional Chinese medicine is on the rise, mainly focusing on the application of traditional Chinese medicine and Chinese herbal compound, acupuncture and moxibustion, and taiji and other traditional Chinese medicine regimen. The research results of this paper provide a direction reference for TCM researchers to better understand the current research status of TCM in the treatment of cardiovascular diseases under the background of big data and for further research.     

科学数据出版现状及其体系框架

科学数据出版是深化数据共享的重要手段,能够激励数据生产者发布和共享数据,又能保护数据的知识产权。回顾了国内外科学数据出版现状,从数据中心和传统出版系统两个角度,提出和完善了科学数据出版体系架构。提出数据出版涉及数据提交、同行审议、数据发布和永久存储、数据引用和影响评价5个基本环节,应由出版系统、数据中心和第三方数据评价机构协同实施。重点讨论了科学数据出版面临的关键问题:数据授权、数字资源唯一标识符、数据集成和数据稿源问题。倡议建立我国的科学数据出版体系,科学数据中心在开展数据收集和共享的同时,加强与学术期刊的合作,成为数据出版的永久存储机构;学术期刊积极开展机制创新,推动学术论文相关数据的公开发布;积极开展数据知识产权保护,倡导对科学数据的引用;加强科学数据的影响评价研究,让数据成果成为普遍认同的科研产出成果,激励科学家主动参与科学数据共享。     

Some bibliometric procedures for analyzing and evaluating research fields

Nowadays, measuring the quality and quantity of the scientific production is an important necessity since almost every research assessment decision depends, to a great extent, upon the scientific merits of the involved researchers. To do that, many different indicators have been proposed in the literature. Two main bibliometric procedures to explore a research field have been defined: performance analysis and science mapping. On the one hand, performance analysis aims at evaluating groups of scientific actors (countries, universities, departments, researchers) and the impact of their activity on the basis of bibliographic data. On the other hand, the extraction of knowledge from the intellectual, social or conceptual structure of a research field could be done by means of science mapping analysis based on bibliographic networks. In this paper, we introduce some of the most important techniques and software tools to analyze the impact of a research field and its scientific structures. Particularly, four bibliometric indices (h, g, hg and q²), the h-classics approach to identify the classic papers of a research field and three free science mapping software tools (CitNetExplorer, SciMAT and VOSViewer) are shown.     

国内外人工智能的研究热点对比与前沿挖掘

为了直观地了解人工智能领域发展现状及研究前沿,剖析国内外研究存在的异同点,助力国内人工智能研究。以Web of Science数据库和CNKI数据库的2008-2019年期刊论文为依据,借助Citespace软件对期刊论文进行科学知识图谱绘制和可视化分析。根据客观数据和科学知识图谱发现：2016年后,人工智能领域迎来新的研究热潮,且呈现“中美双雄”的格局;在发文质量上,北美区域是当前人工智能研究水平最高的区域;目前,人工智能研究的主力军是高校,且尚未形成产学研相结合的体系;研究主题具有鲜明的时代特征,人工神经网络、算法、大数据、机器人、计算机视觉、法律伦理学等成为当下的研究热点;最后根据人工智能研究脉络演进图与高频突现词提出该领域的“深度强化学习”“人工智能+”“智能社会科学”三个研究前沿,为后续人工智能研究提供方向建议。     

用Origin 6.0绘制波函数平面图形

Origin6．0作为一个数学软件平台，集数据管理与分析、二维及三维函数和离散数据绘图、程序开发等多功能于一体，广泛用于科学研究和工程计算。本文利用Origin6．0软件的函数绘图功能，绘制氢原子径向波函数、径向密度函数、径向分布函数、氢原子轨道及电子云的角度分布、杂化轨道等二维图形。给出了波函数的软件可读化形式和绘图的实际操作过程。与其它函数绘图方法相比，界面更友好，操作更方便。     

用Origin 6.0绘制波函数立体图形

Origin6．0作为一个数学软件平台，具有数据管理与分析、二维及三维函数和离散数据绘图、程序开发等多种功能，广泛用于工程设计和科学研究。本文利用Origin6．0软件的三维函数绘图功能，绘制势箱波函数、氢原子轨道、及其电子云密度函数的立体图形、等值线图和等密度线图。详细给出了各类绘图函数的程序可读化形式、图形及操作过程。该绘图方法操作界面更友好，适用于一般化学化工过程中的三维解析函数可视化。     

Defining the scientific level of an assigned publication set

The approach, methods and algorithms for defining the scientific level of an assigned paper array are expounded. A scientific level is defined, both with respect to specific subject areas (Web of Science Categories), and as some integral indicator with respect to the entire spectrum of topics that correspond to the papers from an assigned array. Web of Science (WoS) indexed papers as well as the most important data elements that describe specific papers (journals, in which they are published; the workplaces of authors, research funds that supported these papers, etc.) are used as initial data. The following now classical bibliometric indicators are used as initial indicators: the number of publications, the impact factor of a journal, and the aggregate impact factor of a WoS subject category. Indicators derived from classical ones are introduced. The calculation of a scientific level is based on the joint application of derived and classical bibliometric indicators. The examples of the results from calculating a scientific level are presented.     

Twenty‐five years of the Information Systems Journal: A bibliometric and ontological overview

The Information Systems Journal (ISJ) published its first issue in 1991, and in 2015, the journal celebrated its 25th anniversary. This study presents an overview of the leading research trends in the papers that the journal has published during its first quarter of a century via a bibliometric and ontological analysis. From a bibliometric perspective, the analysis considers the publication and citation structure of the journal. The study then develops a graphical analysis of the bibliographic material by using visualization of similarities software that employs bibliographic coupling and cocitation analysis. The work produces an ontological framework of impact and analyses the journal papers to assess qualitatively ISJ's impact. The results indicate that the journal has grown significantly over time and is now recognized as one of the leading journals in information systems. Yet challenges remain if the journal is to meet its aims in impacting and setting the agenda for the development of the Information Systems field.     

Research intelligence involving information retrieval – An example of conferences and journals

This paper reports a work that was intended to reveal the connection between topics investigated by conference papers and journal papers. This work selected hundreds of papers in data mining and information retrieval from well-known databases and showed that the topics covered by conference papers in a year often leads to similar topics covered by journal papers in the subsequent year and vice versa. This study used some existing algorithms and combination of these algorithms to proposed a new detective procedure for the researchers to detect the new trend and get the academic intelligence from conferences and journals.The goal of this research is fourfold: First, the research investigates if the conference papers’ themes lead the journal papers’. Second, the research examines how the new research themes can be identified from the conference papers. Third, the research looks at a specific area such as information retrieval and data mining as an illustration. Fourth, the research studies any inconsistencies of the correlation between the conference papers and the journal papers.This study explores the connections between the academic publications. The methodologies of information retrieval and data mining can be exploited to discover the relationships between published papers among all topics. By discovering the connections between conference papers and journal papers, researchers can improve the effectiveness of their research by identifying academic intelligence.This study discusses how conference papers and journal papers are related. The topics of conference papers are identified to determine whether they represent new trend discussed in journal papers. An automatic examination procedure based on information retrieval and data mining is also proposed to minimize the time and human resources required to predict further research developments. This study develops a new procedure and collects a dataset to verify those problems. Analytical results demonstrate that the conference papers submitted to journals papers are similar each year. Conference papers certainly affect the journal papers published over three years. About 87.23% of data points from papers published in 1991–2007 support our assumption. The research is intended to help researchers identify new trend in their research fields, and focus on the urgent topics. This is particularly valuable for new researchers in their field, or those who wish to perform cross-domain studies.