An automated knowledge structure construction approach: Applying information retrieval and genetic algorithm to journal of Expert Systems with Applications

In this study, information retrieval and genetic algorithm are integrated to propose a new knowledge structure construction method and this method is further applied to the papers published on the journal of Expert Systems with Applications (ESWA). The purpose of this method is to explore the major topics as well as the related techniques and methods of the papers published in various periods of time and help understand the research tendencies among these published papers. We use vector space model to present the published papers and feature and adopt chi-square test to examine the independence of topics. Then we apply genetic algorithm to facilitate automatic topic selections used to construct the knowledge structures for the journal in study.We select ESWA as the source of samples mainly because the papers published on this journal feature an extensive use of methods and techniques and have been widely applied in many domains. Moreover, it is also a SCI listed journal. In recent years, more and more outstanding scholars have published their papers on this journal, so citation of the papers on this journal by other papers is frequent. It can be viewed as an internationally prominent journal.In our experiment, knowledge structures are constructed and analyzed. The representativeness of the selected topics and whether published papers have been classified into appropriate topics are also evaluated. From the experimental results, we discover that the constructed knowledge structures could not only effectively present representative topics, related techniques and issues, but also help understand the research tendencies.     

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.     

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.     

Reinventing Academic Publishing, Part 2

One possible model for scientific publishing is the overlay journal, which takes some interdisciplinary theme and provides links to papers published elsewhere. By providing links rather than republishing, the overlay journal provides a service to both the reader, by linking to many publications, and the publishers, by bringing more eyeballs to their sites.     

Array Processors: A Selected Bibliography

This bibliography includes most of the trade journal articles, conference papers, and technical reports on array processors published in the English language since 1975. Generally, editorials are omitted, as are patents and specific device or system manuals. Also not included are unpublished papers and internal reports from industry, university, and government organizations where most array processors are installed.     

Thirty Years of the International Journal of Intelligent Systems: A Bibliometric Review

The International Journal of Intelligent Systems was created in 1986. Today, the journal is 30 years old. To celebrate this anniversary, this study develops a bibliometric review of all of the papers published in the journal between 1986 and 2015. The results are largely based on the Web of Science Core Collection, which classifies leading bibliographic material by using several indicators including total number of publications and citations, the h‐index, cites per paper, and citing articles. The work also uses the VOS viewer software for visualizing the main results through bibliographic coupling and co‐citation. The results show a general overview of leading trends that have influenced the journal in terms of highly cited papers, authors, journals, universities and countries.     

An analysis of research topics in software engineering – 2006

This paper is the first in a new annual series whose goal is to answer the following question: what are the active research focuses within the field of software engineering? We considered 7 top journals and 7 top international conferences in software engineering and examined all the 691 papers published in these journals or presented at these conferences in 2006. Consequently, we have a number of findings.

(1) Seventy-three percent of journal papers focus on 20% of subject indexes in software engineering, including Testing and Debugging (D.2.5), Management (D.2.9), and Software/Program Verification (D.2.4).

(2) Eighty-nine percent of conference papers focus on 20% of subject indexes in software engineering, including Software/Program Verification (D.2.4), Testing and Debugging (D.2.5), and Design Tools and Techniques (D.2.2).

(3) Seventy-seven percent of journal/conference papers focus on 20% of subject indexes in software engineering, including Testing and Debugging (D.2.5), Software/Program Verification (D.2.4), and Management (D.2.9).

(4) The average number of references cited by a journal paper is about 33, whereas this number becomes around 24 for a conference paper.

Editorial for the SI: Optimization of Discrete Event Dynamic Systems

We consider it a great privilege to introduce this special two-issue series on Optimization of Discrete Event Dynamic Systems. Optimization has played a central role in the research discipline of discrete event dynamic systems since its inception, and has been the focus of many papers published in this journal since its creation. Driven by applications in several areas such as manufacturing, transportation, and telecommunications, the optimization problem has been addressed by our research community with particular emphases on theory, computation, and simulation. The purpose of this special issue is to bring together papers representing diverse problems of current interest, and to expose and highlight state-of-the-art ideas, techniques, and algorithms that have been developed for their solution.     

Some remarks on progress with finite elements

Information is the most valuable but least valued tool that professionals have. The amount of data in science and technology grows so rapidly that broad-coverage compilations cannot be maintained but concentrate on the coverage of specialized topics. The volume of finite element literature in the form of books, conference proceedings and journal papers, as well as a number of developed finite element codes, has been growing at a prodigious rate. It is almost impossible to be up to date with all the relevant information. A bibliometric study is presented; the author takes the number of published papers on finite elements as a measure of the research activity in the field of finite element techniques and investigates some engineering fields/topics where these techniques have been/are used.     

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.     

物联网与感知矿山专题讲座之一——物联网基本概念及典型应用

介绍了物联网的发展、基本概念、体系结构、标准及典型应用,同时指出了目前物联网应用中存在的问题,提出在感知矿山物联网建设中不能照搬地面应用模式,以避免出现新的信息孤岛和子系统问题孤岛。该文讨论的内容是理解将在本刊连续发表的"物联网与感知矿山"系列文章的基础。     

Divide and conquer approach to improve performance on ATR systems

In this paper different methods applied to the Automatic Target Recognition problem are studied. A database of High Range Resolution radar profiles of six kinds of aircrafts is used to study the performance of four classification methods: k-Nearest Neighbor method, Multilayer Perceptrons, Radial Basis Function Networks, and Support Vector Machines. Results obtained with these classifiers show a high correlation between two of the classes of targets that cause the majority of errors. We propose to split the task into two subtasks. A first one in which the classes of correlated targets are grouped in a single class, and a second one to distinguish between them. Different classifiers are studied to be applied to each subtask. Results demonstrate that Radial Basis Function Networks are very good classifiers for the main subtask, while Support Vector Machines are the best classification method, among the studied, to distinguish between the correlated targets. The text was submitted by the authors in English. Roberto Gil Pita, born in 1978, obtained the degree of Telecomunication Engineer at Alcala University, 2001. Roberto Gil Pita is currently the Lecturer in Signal Theory and Communications Department, Polytechnical School, Alcala University (Spain). His research interests include signal processing and radar applications. Roberto Gil Pita has published ten journal papers, five book chapters, and nine conference contributions. He is an IEEE student member. Manuel Utrilla Manso, born in 1972, obtained the degree of Telecomunication Engineer at Polythecnic University of Madrid, 1999. Manuel Utrilla Manso is currently the Lecturer in Signal Theory and Communications Department, Polytechnical School, Alcala University (Spain). His research interests include signal processing, and digital filters and applications. Manuel Utrilla Manso has published 3 journals papers, 5 book chapters, 23 conference contributions, and 1 book. He is an IEEE student member. Manuel Rosa Zurera, born in 1968, obtained the degree of Telecomunication Engineer at Polythecnic University of Madrid, 1995. Manuel Rosa Zurera is currently the Associated Professor and Head of the Department in Signal Theory and Communications Department, Polytechnical School, Alcala University (Spain). His fields of research are signal processing, signal detection, and radar systems. Manuel Rosa Zurera has published 18 journal papers, 10 book chapters, 41 conference contributions, and 2 books. He is an IEEE member. Raúl Vicen Bueno, born in 1977, obtained the degree of Telecomunication Engineer at Alcala University, 2002. Raul Vicen Bueno is currently the Lecturer in Signal Theory and Communications Department, Polytechnic School, Alcala University (Spain). His research interests include signal processing and radar applications. Raul Vicen Bueno has published six journal papers, three book chapters, four conference contributions, and one book. Awards and prizes for achievements in research or applications Second place in the “Liberalizacion de las Telecomunicaciones” awards, given by the “Colegio Oficial de Ingenieros Tecnicos de Telecomunicacion” (COITT) of Spain. Maria Pilar Jarabo Amores, born in 1971, obtained the degree of Telecomunication Engineer at Polythecnical University of Madrid, 1997. Maria Pilar Jarabo Amores is currently the Lecturer in Signal Theory and Communications Department, Polytechnical School, Alcala University (Spain). Her research interests include signal processing, signal detection, and radar systems. Maria Pilar Jarabo Amores has published 11 journals papers, 8 book chapters, 21 conference contributions, and 2 books. She is an IEEE student member. Francisco López Ferreras, born in 1948, obtained the degree of Telecommunication Engineer at Polythecnic University of Madrid, 1970. Francisco Lopez Ferreras is currently Associated Professor and Dean of the Signal Theory and Communications Department, Polytechnic School, Alcala University (Spain). His field of research is signal processing. Francisco Lopez Ferreras has published 23 journal papers, 16 book chapters, 88 conference contributions, and 10 books. He is an IEEE member.     

《中国图象图形学报》创刊20年出版情况统计分析

目的 在《中国图象图形学报》创刊20年后,回顾和总结其20年来的发展情况,分析当前状态,并展望未来方向。方法 对1996年创刊以来前20年的出版情况和数据进行统计和分析,包括学报创刊情况,所设栏目（及其文献数量）和主题,所发表的文献综述系列的概况及所反映的特点,以及学报的出版期数、页数、篇数（包括每期页数、每期篇数、每篇页数等）与它们的变化和趋势。结果 将学报的统计数据与其他14种图像工程刊物进行了对比,反映了学报在相关领域的相对专业地位和学术水平,也揭示了若干值得改进的方向。结论 经过20年的努力和发展,学报已是相关专业领域里的一个重要刊物,但还有继续提高的需求和目标。     

对《中国图象图形学报》之洛特卡分布参数的统计分析

洛特卡定律反映了科研论文数量与作者数量之间的统计规律(常按期刊统计),但其中的参数与学科特点有关。《中国图象图形学报》是图象图形科学领域的重要刊物,以往对其论文数量与作者数量的研究均参照其他工作使用了经典洛特卡定律的参数(由洛特卡对物理和化学的刊物统计得到)。本文通过对该刊创刊10年来有关数据的统计,计算出了该刊特殊的、反映其所属学科特点的洛特卡定律参数,并对不同合著论文作者是否服从洛特卡分布进行了检验分析,为进一步研究该刊的发展情况和规律提供了参考。     

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。     

中国图像工程：2007

该文是关于中国图像工程的年度文献综述系列之十三。为了使国内广大从事图像工程研究和图像技术应用的科技人员能够较全面地了解国内图像工程研究和发展的现状,并能够方便地查询有关文献,现从2007年在国内15种有关图像工程重要中文期刊的共118期上发表的3312篇学术研究和技术应用文献中,选取出895篇属于图像工程领域的文献,并根据各文献的主要内容将其分别归入图像处理、图像分析、图像理解、技术应用和综述5个大类,然后进一步分入23个专业小类(与去年相同)。在此基础上还进行了各期刊各类文献的统计和分析。根据统计分析结果可看到我国图像工程在2007年许多新进展的情况。特别值得指出,在上述15种期刊上所发表的图像工程文献数量在2007年有大幅增加并达到历史最高,显示了图像工程研究在中国继续发展的趋势。     

中国图像工程：2006

该文是关于中国图像工程的年度文献综述系列之十二。为了使国内广大从事图像工程研究和图像技术应用的科技人员能够较全面地了解国内图像工程研究和发展的现状,并能够方便地查询有关文献,现从2006年国内15种有关图像工程重要中文期刊的共112期上发表的3 013篇学术研究和技术应用文献中,选取出711篇属于图像工程领域的文献,并根据各文献的主要内容将其分别归入图像处理、图像分析、图像理解、技术应用和综述5个大类,然后进一步分入23个专业小类(与去年相同)。在此基础上还对这些文献进行了统计和分析。根据统计分析结果可看到我国图像工程在2006年许多新进展的情况。特别值得指出的是,在上述15种期刊上所发表的图像工程文献数量在2006年达到历史最高,显示了图像工程研究在中国继续发展的趋势。     

An assessment system for rating scientific journals in the field of ergonomics and human factors

A method for selecting and rating scientific and professional journals representing the discipline of ergonomics and human factors is proposed. The method is based upon the journal list, impact factors and citations provided by the Institute of Scientific Information (ISI), and the journal list published in the Ergonomics Abstracts. Three groups of journals were distinguished. The 'ergonomics journals' focus exclusively on ergonomics and human factors. The 'related journals' focus on other disciplines than ergonomics and human factors, but regularly publish ergonomics/human factors papers. The 'basic journals' focus on other technical, medical or social sciences than ergonomics, but are important for the development of ergonomics/human factors. Journal quality was rated using a maximum of four categories: top quality (A-level), high quality (B-level), good quality (C-level)) and professional (P-level). The above methods were applied to develop the Ergonomics Journal List 2004. A total of 25 'ergonomics journals', 58 'related journals' and 142 'basic journals' were classified.     

Measuring research quality: the United Kingdom Government's Research Assessment Exercise

Can research quality be measured meaningfully? Whether it can or not does not interfere with the desire to do so if the motivation is strong enough. This paper discusses the United Kingdom (U.K.) Government's approach to measuring research quality in U.K. universities, known in the U.K. as the Research Assessment Exercise (RAE). The RAE is held at irregular intervals of time, the latest being held in 2008 (RAE 2008). The motivation is accountability of government spending, but in fact many different objectives are ascribed to the exercise. RAE 2008 is fully described so that it can be used to raise debating issues around the general issue of research quality, a subject that appears to be of universal interest in Information Systems. One major conclusion appears to be that journal rankings are not a good indicator of the quality of any paper published in that journal, nor necessarily of the combined quality of all the papers.