《数据采集与处理》创刊30周年回顾与展望

回顾《数据采集与处理》所经历的初创阶段、调整阶段以及稳定发展阶段三个发展阶段,介绍了其创刊30年来载文量、基金论文比、学科分布、影响因子、SJR指标等总体发展状况,总结30年以来的办刊理念和办刊思路,提出应从加强选题策划、加大约稿力度、优化审稿流程、规范编辑出版方面入手提升期刊质量,探索《数据采集与处理》发展的新思路。     

A Memorial Note on the 10th Anniversary of OSID

Open Systems and Information Dynamics -     

信号、数据和信息的历史及展望

信号、数据和信息相关理论及其应用是《数据采集与处理》杂志30年来主要的刊登内容。从早期的A/D转换到DSP,FPGA处理芯片,从分形技术、小波理论到语音信号识别和图像信号处理,从神经网络到深度学习,从无线通信技术到光通信技术,《数据采集与处理》杂志就像一面镜子,折射出信号、数据和信息处理技术的飞速发展。本文对信号、数据和信息处理的历史、发展状况进行了梳理,并对其未来发展方向进行了展望。本文的结论将是《数据采集与处理》未来刊登内容的重要遵循依据。     

平行智能与CPSS: 三十年发展的回顾与展望

社会物理信息系统 (Cyber-physical-social systems, CPSS)在传统物理信息系统 (Cyber-physical systems, CPS)的基础上纳入对社会信号及社会关系的考虑, 利用网络世界近乎无限的人力、数据和信息资源, 突破物理世界有限的资源约束以及时空的限制. 然而, CPSS中人类和社会行为的复杂性加剧了实际系统和其模型之间的建模鸿沟, 使得系统的形态演变为“默顿系统”. 对此, 以ACP方法为核心的平行智能 (Parallel intelligence, PI) 框架通过组合人工系统 (Artificial systems, A)、计算实验 (Computational experiments, C)、平行执行 (Parallel execution, P)三个过程, 为跨越这一鸿沟提供了可行的路径. 具体而言, ACP将模型从系统解析器转变为数据生成器, 使原本难以控制的“默顿系统”可测试、可计算、可验证, 为复杂系统中“涌现”和“收敛”的对立统一确立了方法基础. 本文从平行控制与智能控制、平行机器人与平行制造、平行管理与智能交通、平行医学与智慧健康、平行生态与平行社会、平行经济系统与社会计算、平行军事系统以及平行认知与平行哲学这八个方面阐述面向CPSS的平行智能应用成果. 最后, 对CPSS未来的发展方向和技术趋势进行了讨论与展望.     

Universal Intelligence: A Definition of Machine Intelligence

A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: we take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.     

商业智能在互联网业务分析中的研究与应用

介绍了商业智能技术在互联网业的业务分析中的一些应用,并针对网站日志的分析应用,综合运用数据仓库、数据分析、数据挖掘技术,提出并实现了一套解决方案。针对商业智能技术在其它领域中的应用做出了一定的思考。     

基于文献计量的国内区块链技术研究及应用态势分析

为分析区块链技术的发展态势,从区块链总体论文产出、区块链应用、区块链金融3个方面设计检索需求,以CNKI中检索获得的文献为样本,引入文献计量分析的方法,并使用CiteSpace软件绘制关键词共现图谱、作者合作和机构合作图谱,对数据进行直观的可视化分析。在分析中,对区块链应用的关键词按含义进行相应的分类,并通过对区块链热点关键词的追踪统计,创新性地提出热点关键词的变化快慢与研究趋势的关联关系。结果表明,区块链相关论文从2015年开始至今呈现爆发式增长,区块链在金融方面的应用与研究、区块链自身特性技术、区块链与新兴技术的结合这些方面是当前研究的热点问题。对于作者和机构在区块链研究中的合作较少,科研合作团体有待形成。未来区块链研究重点更趋向于实际应用与新兴技术的结合。     

The Invention and Development of the Hollerith Punched Card: In Commemoration of the 130th Anniversary of the Birth of Herman Hollerith and for the 100th Anniversary of Large Scale Data Processing

A detailed and exemplified account is given on the invention and development of the Hollerith Punched Card from the beginning in 1886 until 1928. The change of use from counting to value statistics is shown. The size of the Hollerith Punched Card was standardized very early. The cards were soon used both for data capture and data punching - the dual purpose punched card. The first Hollerith cards were punched with a conductor's punch, soon be replaced by the Pantograph Punch, and, after the decimal columns have appeared, a Mechanical Key Punch, the Type 001, later replaced by the Electrical Key Punch Type 011, was used.     

A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method

Failure mode and effects analysis (FMEA) is one of the most popular reliability analysis tools for identifying, assessing and eliminating potential failure modes in a wide range of industries. In general, failure modes in FMEA are evaluated and ranked through the risk priority number (RPN), which is obtained by the multiplication of crisp values of the risk factors, such as the occurrence (O), severity (S), and detection (D) of each failure mode. However, the conventional RPN method has been considerably criticized for various reasons. To deal with the uncertainty and vagueness from humans’ subjective perception and experience in risk evaluation process, this paper presents a novel approach for FMEA based on combination weighting and fuzzy VIKOR method. Integration of fuzzy analytic hierarchy process (AHP) and entropy method is applied for risk factor weighting in this proposed approach. The risk priorities of the identified failure modes are obtained through next steps based on fuzzy VIKOR method. To demonstrate its potential applications, the new fuzzy FMEA is used for analyzing the risk of general anesthesia process. Finally, a sensitivity analysis is carried out to verify the robustness of the risk ranking and a comparison analysis is conducted to show the advantages of the proposed FMEA approach.     

Citations,research topics and active countries in software engineering: A bibliometrics study

Context: An enormous number of papers (more than 70,000) have been published in the area of Software Engineering (SE) since its inception in 1968. To better characterize and understand this massive research literature, there is a need for comprehensive bibliometrics assessments in this vibrant field.Objective: The objective of this study is to utilize automated citation and topic analysis to characterize the software engineering research literature over the years. While a few bibliometrics studies have appeared in the field of SE, this article aims to be the most comprehensive bibliometrics assessments in this vibrant field.Method: To achieve the above objective, we report in this paper a bibliometrics study with data collected from Scopus database consisting of over 70,000 articles. For thematic analysis, we used topic modeling to automatically generate the most probable topic distributions given the data.Results: We found that number of papers published per year has grown tremendously and currently 6000–7000 papers are published every year. At the same time, nearly half of the papers are not cited at all. Using text mining of articles titles, we found that currently the hot research topics in software engineering are: (1) web services, (2) mobile and cloud computing, (3) industrial (case) studies, (4) source code and (5) test generation. Finally, we found that a small share of large countries produce the majority of the papers in SE while small European countries are proportionally the most active in the area of SE, based on the number of papers.Conclusion: Due to large volumes of research in SE, we suggest using the automated analysis of bibliometrics as we have done in this paper. By picking out the most cited papers, we can present the land marks of SE and, with thematic analysis, we can characterize the entire field. This can be useful for students and other new comers to SE and for presenting our achievements to other disciplines. In particular, we see and report the value of such an analysis in situations where performing a full scale SLR is not feasible due to restrictions on time or to lack of exact research questions.     

The 15th Anniversary of the IEEE Transactions on Visualization and Computer Graphics: Celebrating a Success Story

An editorail on the 15th Anniversary of the IEEE Transactions on Visualization and Computer Graphics.     

Hypex: A Tool for Extracting Business Intelligence from Sentiment Analysis using Enhanced LSTM

Multimedia Tools and Applications - Sentiment analysis, an application of machine learning in business is the process of identifying and cataloging comments, reviews, tweets, feedback, and even...     

A thematic analysis of patient communication in Parkinson’s disease online support group discussion forums

Online support groups have become a popular source of information, advice and support for individuals living with a range of health conditions. However, research has not commonly focused on patients living with Parkinson’s disease and their use of online support groups. Thus, the aim of this study was to gain an insight into the positive and negative aspects of online communication through an analysis of messages exchanged within Parkinson’s disease discussion forums. Data was collected from four forums and analysed using data-driven thematic analysis. The results revealed that participation in the forums allowed patients to share experiences and knowledge, form friendships, as well as helping them cope with the challenges of living with Parkinson’s disease. Conversely, a lack of replies, the experience of Parkinson’s disease symptoms, a lack of personal information, fragility of online relationships, misunderstandings and disagreements, all appeared to compromise the online experience. Practical implications and future research recommendations are proposed.