A framework for awareness maintenance

This paper presents a systematic literature review to gain insight into the growing area of awareness maintenance. A systematic review of papers from 1970 to 2010 examines the background and trends of research in this area. The results establish a framework for awareness maintenance and demonstrate trends, gaps, and potentially fruitful areas for future research. In particular, based on 131 papers, the present work proposes a four-phase framework for awareness maintenance that shows promise for real-world applications.     

Ökonomischer Wert von Informationssystemen

The economic relevance of information systems has been studied for many years and has attracted an abundance of research papers. However, the “productivity paradoxon” of the 1990s, Carr’s widely recognized paper “IT doesn’t matter”, and several studies that do not find a positive correlation between IS investments and economic performance reveal long-lasting difficulties for IS researchers to explain “IS business value”. Business executives and researchers also continue to question the value of IS investments. This raises the question of whether literature reviews have tapped their potential to address the concerns by covering key research areas of IS business value and preserving their key findings. In order to address this question, this paper identifies and describes 12 key research areas, and synthesizes what literature reviews published in pertinent academic outlets have done to preserve knowledge. The analysis of 22 literature reviews shows that some crucial areas have not been (sufficiently) covered. They provide fertile areas for future literature reviews. As this work is based on the results of more than 200 research papers, it is capable of drawing a comprehensive picture of the current state-of-the-art in IS business value research.     

Progress in Intelligent Data Analysis

Intelligent data analysis (IDA) is an interdisciplinary study concerned with the effective analysis of data. In response to the challenge of extracting useful information from large quantities of online data, much work has appeared in the intersection of artificial intelligence, database, high-performance computing, pattern recognition, and statistics. Intelligent systems for data analysis have been developed in different application fields and much progress has been made. This editorial looks into a few key IDA topics, introduces the papers in this special issue, and identifies those challenging and fruitful areas for further research.     

Big Data analytics for sustainability: Insight through technological innovation

How do information systems and big data analytics help to enable a sustainable future? This question is investigated in nine papers in this special issue that examine the issue of big data analytics for sustainability from a variety of perspectives. Broadly, these papers can be considered in four main areas: health, online behavior and consumption, safety and the environment, and methods to improve understanding of sustainability issues. Recent advances in data-driven decision-making analytics research focusing on different aspects of sustainability are discussed in these papers, including air pollution management, online health consultation services, gamification of exercise and health, sustainable urban mobility, the sustainable use of resources in hospitals, the design of anticrime information support systems, the interdependence effects among mobile social apps, networks of sustainable development goals, and the spillover effect of sustainable consumption.     

Computational Intelligence and Financial Markets: A Survey and Future Directions

Financial markets play an important role on the economical and social organization of modern society. In these kinds of markets, information is an invaluable asset. However, with the modernization of the financial transactions and the information systems, the large amount of information available for a trader can make prohibitive the analysis of a financial asset. In the last decades, many researchers have attempted to develop computational intelligent methods and algorithms to support the decision-making in different financial market segments. In the literature, there is a huge number of scientific papers that investigate the use of computational intelligence techniques to solve financial market problems. However, only few studies have focused on review the literature of this topic. Most of the existing review articles have a limited scope, either by focusing on a specific financial market application or by focusing on a family of machine learning algorithms. This paper presents a review of the application of several computational intelligent methods in several financial applications. This paper gives an overview of the most important primary studies published from 2009 to 2015, which cover techniques for preprocessing and clustering of financial data, for forecasting future market movements, for mining financial text information, among others. The main contributions of this paper are: (i) a comprehensive review of the literature of this field, (ii) the definition of a systematic procedure for guiding the task of building an intelligent trading system and (iii) a discussion about the main challenges and open problems in this scientific field.     

直觉模糊研究的知识结构及知识流动分析

为了全面分析直觉模糊领域的研究概况、知识结构、知识扩散路径以及活跃研究子领域,基于主路径方法,结合知识图谱工具,对中国知网(CNKI)数据库中收录的与直觉模糊研究相关的文献进行系统分析.研究结果表明:直觉模糊领域已进入成熟阶段,且2007年与2014年的研究成果受到了广泛关注;从直觉模糊领域的知识结构看,直觉模糊集合、...     

Web application testing: A systematic literature review

ContextThe web has had a significant impact on all aspects of our society. As our society relies more and more on the web, the dependability of web applications has become increasingly important. To make these applications more dependable, for the past decade researchers have proposed various techniques for testing web-based software applications. Our literature search for related studies retrieved 193 papers in the area of web application testing, which have appeared between 2000 and 2013.ObjectiveAs this research area matures and the number of related papers increases, it is important to systematically identify, analyze, and classify the publications and provide an overview of the trends and empirical evidence in this specialized field.MethodsWe systematically review the body of knowledge related to functional testing of web application through a systematic literature review (SLR) study. This SLR is a follow-up and complimentary study to a recent systematic mapping (SM) study that we conducted in this area. As part of this study, we pose three sets of research questions, define selection and exclusion criteria, and synthesize the empirical evidence in this area.ResultsOur pool of studies includes a set of 95 papers (from the 193 retrieved papers) published in the area of web application testing between 2000 and 2013. The data extracted during our SLR study is available through a publicly-accessible online repository. Among our results are the followings: (1) the list of test tools in this area and their capabilities, (2) the types of test models and fault models proposed in this domain, (3) the way the empirical studies in this area have been designed and reported, and (4) the state of empirical evidence and industrial relevance.ConclusionWe discuss the emerging trends in web application testing, and discuss the implications for researchers and practitioners in this area. The results of our SLR can help researchers to obtain an overview of existing web application testing approaches, fault models, tools, metrics and empirical evidence, and subsequently identify areas in the field that require more attention from the research community.     

PCBN tool wear modes and mechanisms in finish hard turning

The use of polycrystalline cubic boron nitride (PCBN) cutting tools in hard turning applications is continuously growing with the number of commercially available grades increasing, allowing new application areas to be explored. In order to take full advantage of the benefits offered by PCBN it is necessary to understand the behaviour of the material in application. Tool behaviour is influenced by many factors which include the composition of the PCBN material, the steel workpiece, the nature of the cutting operation, the cutting conditions and the tool geometry.

The focus of this paper is the continuous turning of hardened steels. A significant amount of research has been carried out in this area and a literature review of the relevant work is presented. This identifies the primary wear modes and discusses the many theories proposed to explain the mechanisms contributing to PCBN tool wear and failure. The final section of the paper considers the critical factors that influence the behaviour of PCBN tools in continuous hard turning and how this knowledge can be applied to optimise tool performance.     

舰船信息系统装备质量数据智能采集与分析技术研究

舰船信息系统装备形态多样、技术状态复杂,性能数据和质量数据庞大,需要采用信息化、智能化手段,实现对海量数据的采集、提取、整合与调用,供状态监测和性能评估使用;通过研究信息系统装备相关设计、测试、试验、使用维护数据的获取方式和手段,开展信息采集、图像处理以及应用架构设计等关键技术研究工作,解决质量数据的采集接口不统一,质量数据存储分散,数据分析和利用不够的诸多问题,提高工作效率、降低使用维护成本;在信息采集的基础上,通过研究面向舰船信息系统装备研制、试验、运行、维护等多环节统一的数据环境,开展质量数据建模分析、成功数据包络、性能评估及辅助决策等关键技术研究工作,构建舰船质量数据的高速处理和分析体系,解决辅助决策过程信息多、依据多、流程复杂的问题,可辅助快速生成技术决策建议,缩短决策时间。     

The industrialization of formal methods

This special section contains papers based on work presented at the 12th International Symposium on Formal Methods (FM 2003) held at the CNR Research Campus in Pisa on 8–13 September 2003. The papers all focus on tools and techniques for cost-effective application of formal methods on the industrial scale. The papers discuss a range of approaches, including the development of domain-specific and general-purpose techniques, and the construction of suites of cooperating but specialised tools. In spite of the diversity of approach, the papers share some themes, notably the levels of automation that are possible at appropriate levels of abstraction, and the incorporation of formal techniques within existing development paradigms. Although three papers cannot provide a comprehensive view, they do provide a useful “snapshot” of dominant concerns in industrial-strength formal methods today.     

A systematic mapping study of web application testing

ContextThe Web has had a significant impact on all aspects of our society. As our society relies more and more on the Web, the dependability of web applications has become increasingly important. To make these applications more dependable, for the past decade researchers have proposed various techniques for testing web-based software applications. Our literature search for related studies retrieved 147 papers in the area of web application testing, which have appeared between 2000 and 2011.ObjectiveAs this research area matures and the number of related papers increases, it is important to systematically identify, analyze, and classify the publications and provide an overview of the trends in this specialized field.MethodWe review and structure the body of knowledge related to web application testing through a systematic mapping (SM) study. As part of this study, we pose two sets of research questions, define selection and exclusion criteria, and systematically develop and refine a classification schema. In addition, we conduct a bibliometrics analysis of the papers included in our study.ResultsOur study includes a set of 79 papers (from the 147 retrieved papers) published in the area of web application testing between 2000 and 2011. We present the results of our systematic mapping study. Our mapping data is available through a publicly-accessible repository. We derive the observed trends, for instance, in terms of types of papers, sources of information to derive test cases, and types of evaluations used in papers. We also report the demographics and bibliometrics trends in this domain, including top-cited papers, active countries and researchers, and top venues in this research area.ConclusionWe discuss the emerging trends in web application testing, and discuss the implications for researchers and practitioners in this area. The results of our systematic mapping can help researchers to obtain an overview of existing web application testing approaches and indentify areas in the field that require more attention from the research community.     

A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications

As a practical popular methodology for dealing with fuzziness and uncertainty in Multiple Criteria Decision-Making (MCDM), Fuzzy AHP (FAHP) has been applied to a wide range of applications. As of the time of writing there is no state of the art survey of FAHP, we carry out a literature review of 190 application papers (i.e., applied research papers), published between 2004 and 2016, by classifying them on the basis of the area of application, the identified theme, the year of publication, and so forth. The identified themes and application areas have been chosen based upon the latest state-of-the-art survey of AHP conducted by [Vaidya, O., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1–29.]. To help readers extract quick and meaningful information, the reviewed papers are summarized in various tabular formats and charts. Unlike previous literature surveys, results and findings are made available through an online (and free) testbed, which can serve as a ready reference for those who wish to apply, modify or extend FAHP in various applications areas. This online testbed makes also available one or more fuzzy pairwise comparison matrices (FPCMs) from all the reviewed papers (255 matrices in total).In terms of results and findings, this survey shows that: (i) FAHP is used primarily in the Manufacturing, Industry and Government sectors; (ii) Asia is the torchbearer in this field, where FAHP is mostly applied in the theme areas of Selection and Evaluation; (iii) a significant amount of research papers (43% of the reviewed literature) combine FAHP with other tools, particularly with TOPSIS, QFD and ANP (AHP’s variant); (iv) Chang’s extent analysis method, which is used for FPCMs’ weight derivation in FAHP, is still the most popular method in spite of a number of criticisms in recent years (considered in 57% of the reviewed literature).     

An application framework for developing collaborative handheld decision-making tools

This paper describes an application framework supporting collaborative handheld decision-making (CHDM). The main characteristics of the framework are: (1) extensive usage of visual elements and gestures; and (2) independence from specific decision-making methods, processes and tasks. The research departed from the analysis and systematisation of several CHDM scenarios, highlighting repeatable behaviour across multiple decision-making contexts. From these scenarios, we distilled a coherent set of common functional requirements organised in three main categories: process, macro- and micro-functionality. The proposed framework has been validated at length through the development of several CHDM tools. Six different tools are described in the paper. The main contribution of this work is a common foundation for developing CHDM tools.     

A state-of the-art survey of TOPSIS applications

Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners in evaluating, assessing and ranking alternatives across diverse industries. Among numerous MCDA/MCDM methods developed to solve real-world decision problems, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily across different application areas. In this paper, we conduct a state-of-the-art literature survey to taxonomize the research on TOPSIS applications and methodologies. The classification scheme for this review contains 266 scholarly papers from 103 journals since the year 2000, separated into nine application areas: (1) Supply Chain Management and Logistics, (2) Design, Engineering and Manufacturing Systems, (3) Business and Marketing Management, (4) Health, Safety and Environment Management, (5) Human Resources Management, (6) Energy Management, (7) Chemical Engineering, (8) Water Resources Management and (9) Other topics. Scholarly papers in the TOPSIS discipline are further interpreted based on (1) publication year, (2) publication journal, (3) authors’ nationality and (4) other methods combined or compared with TOPSIS. We end our review paper with recommendations for future research in TOPSIS decision-making that is both forward-looking and practically oriented. This paper provides useful insights into the TOPSIS method and suggests a framework for future attempts in this area for academic researchers and practitioners.     

Simulation for manufacturing system design and operation: Literature review and analysis

This paper provides a comprehensive review of discrete event simulation publications published between 2002 and 2013 with a particular focus on applications in manufacturing. The literature is classified into three general classes of manufacturing system design, manufacturing system operation, and simulation language/package development. The paper further categorizes the literature into 11 subclasses based on the application area. The current review contributes to the literature in three significant ways: (1) it provides a wide coverage by reviewing 290 papers; (2) it provides a detailed analysis of different aspects of the literature to identify research trends through innovative data mining approaches as well as insights derived from the review process; and (3) it updates and extends the existing classification schemes through identification and inclusion of recently emerged application areas and exclusion of obsolete categories. The results of the literature analysis are then used to make suggestions for future research.     

中国图像工程：2020

本文是关于中国图像工程的年度文献综述系列之二十六。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,有针对性地查询有关文献,且向期刊编者和作者提供有用的参考,对2020年度图像工程相关文献进行了统计和分析。具体是从国内15种有关图像工程重要中文期刊在2020年发行的共154期上所发表的2 785篇学术研究和技术应用文献中,选取出813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、技术应用和综述评论5个大类,然后进一步分入23个专业小类（与前15年相同）,并在此基础上分别进行各期刊与各类文献的统计和分析。根据对2020年统计数据的分析可以看出：图像分析方向当前得到了最多的关注,其中目标检测和识别、图像分割和边缘检测、人体生物特征提取和验证等都是研究的焦点。另外,遥感、雷达、声呐、测绘以及生物、医学等领域的图像技术开发和应用最为活跃。总的来说,中国图像工程在2020年的研究深度和广度还在继续提高和扩大,仍保持着快速发展的势头。综合26年的统计数据还为读者提供了更全面和更可信的各研究方向发展趋势的信息。     

中国图像工程：2021

本文是关于中国图像工程的年度文献综述系列之二十七。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,能够有针对性地查询有关文献,且向期刊编者和作者提供有用的参考,对2021年度图像工程相关文献进行了统计和分析。具体从国内15种有关图像工程重要中文期刊在2021年发行的所有154期上所发表的学术研究和技术应用文献(共2958篇)中,选取出所有属于图像工程领域的文献(共833篇),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、技术应用和综述评论5个大类,然后进一步分入23个专业小类(与前16年相同),并在此基础上分别进行了各期刊各类文献的统计和分析。根据对2021年统计数据的分析可以看出：图像分析方向当前得到了最多的关注,其中目标检测和识别、图像分割和边缘检测、人体生物特征提取和验证等都是研究的焦点。另外,遥感、雷达、声呐、测绘以及生物、医学等领域的图像技术开发和应用最为活跃。总的来说,中国图像工程在2021年的研究深度和广度还在继续提高和扩大,仍保持了快速发展的势头。综合27年的统计数据还为读者提供了更全面和更可信的各个研究方向发展趋势的信息。     

中国图象工程：2002

该文是关于中国图象工程的年度文献综述系列之八 .为了使国内广大从事图象工程研究和图象技术应用的科技人员能够较全面地了解国内图象工程研究和发展的现状 ,并能够方便地查询有关文献 ,现从国内 15种有关图象工程重要中文期刊 2 0 0 2年出版的共 10 8期上发表的 2 4 2 6篇学术研究和技术应用文献中 ,选取出 5 4 5篇属于图象工程领域的文献 ,然后根据各文献的主要内容将其分别归入图象处理、图象分析、图象理解、技术应用和综述 5个大类 ,又进一步分入 2 1个小类 ,并在此基础上进行了文献统计和分析 .由统计分析结果可见 ,中国图象工程在2 0 0 2年又有了许多新进展 ,除总的文献数量有较大增加 ,图象分割和图象编码仍有许多研究成果外 ,近年来的几个新的研究热点 ,如成像技术、图象数字水印、人脸和器官检测、图象匹配融合、图象和视频检索等继续保持了快速发展的势头 .     

PaperVis: Literature Review Made Easy

Reviewing literatures for a certain research field is always important for academics. One could use Google‐like information seeking tools, but oftentimes he/she would end up obtaining too many possibly related papers, as well as the papers in the associated citation network. During such a process, a user may easily get lost after following a few links for searching or cross‐referencing. It is also difficult for the user to identify relevant/important papers from the resulting huge collection of papers. Our work, called PaperVis, endeavors to provide a user‐friendly interface to help users quickly grasp the intrinsic complex citation‐reference structures among a specific group of papers. We modify the existing Radial Space Filling (RSF) and Bullseye View techniques to arrange involved papers as a node‐link graph that better depicts the relationships among them while saving the screen space at the same time. PaperVis applies visual cues to present node attributes and their transitions among interactions, and it categorizes papers into semantically meaningful hierarchies to facilitate ensuing literature exploration. We conduct experiments on the InfoVis 2004 Contest Dataset to demonstrate the effectiveness of PaperVis.