Recent publications

Knowledge-Based Systems: Markets, Suppliers and Products, Tim Johnson et al.
The European Market for Expert Systems, Artificial Intelligence Systems and Expert Systems Used in Medical Laboratory Applications     

Modeling learning technology systems as business systems

The design of Learning Technology Systems, and the Software Systems that support them, is largely conducted on an intuitive, ad hoc basis, thus resulting in inefficient systems that defectively support the learning process. There is now justifiable, increasing effort in formalizing the engineering of Learning Technology Systems in order to achieve better learning effectiveness as well as development efficiency. This paper presents such an approach for designing Learning Technology Systems and their most popular specialization, the Web-based Learning Systems, by modeling them as business systems, using business-modeling methods. The aim is to provide an in-depth analysis and comprehension of the Learning Technology Systems and Web-based Learning Systems domain, that can be used for improving the systems themselves, as well as for building the supporting software systems. Our work is based upon the Learning Technology Systems Architecture standard of IEEE LTSC, on the empirical results of designing Web-based Learning Systems for university courses and on the practices of the Rational Unified Process and the Unified Modeling Language.     

On power of p systems using sequential and parallel rewriting

A new class of distributed computing models inspired from biology, that of P Systems, was recently introduced by Gh. P[acaron]un. Several variants of P Systems were already shown to be computationally universal, equal in power to Turing Machines. We investigate in this paper the power of computability of P Systems based on rewriting, with cooperation, priorities and external output. It is established that rewriting P Systems with priorities and two membranes is computationally universal, thereby making an improvement in the existing result that RE?RP ₃(Pri). We give a new model in P Systems stressing the importance of parallelism. The power of computability of such models is investigated by comparing them with classic mechanisms in L-Systems: TOL, EOL and ETOL Systems     

Second annual Houston conference

The Second Annual Houston Conference on Circuits, Systems and Computers was held in April 1970 at Houston, Texas. The First National Systems Symposium on the Application of Computers in Systems Analysis was held a few days later in Mexico City.     

On Database Systems viewed as Programming Languages

At present an extremely complex system of specific ideas and notions has been developed in the domain of Database Systems. These ideas and notions are perplexing designers as well as users thus turning out a hindrance rather then a tool for development and implementation of Information Systems dealing with Data. The present paper aims to show that these ideas and notions are dispensable altogether since Data Information Systems (Database Systems) may be conceived and developed strictly within the scope of ideas of Programming Languages and in standard terms of this field. In this paper the notions of Information System, Data- and Semantic Information are analyzed and compared. Information Systems dealing with Data (Database Systems) are interpreted as Programming Languages. The approach is discussed and illustrated by one of the pilot versions currently being implemented at the Technische Universität Berlin.     

Information Systems Strategy and Strategy-as-Practice: A joint agenda

This review applauds the initiative to bring together Information Systems Strategy and Strategy-as-Practice research, as in this Special Issue. It highlights especially promising features of each of the empirical articles and develops an agenda for taking some of the themes further. In particular, the review points to opportunities for the intimate comparative investigation of episodes of Information Systems strategizing, for example by videoethnography; focus on the under-examined impacts of new or taken-for-granted Information Systems in strategy, for example big data, social media and Excel; and consideration of the political and discursive competence of Information Systems strategists in action, by comparison with other specialists. This agenda would be effectively advanced by joint work on the part of Information Systems and Strategy-as-Practice researchers.     

基于自治及合作的整子制造系统

整子制造系统是智能制造计划中提出的一种未来的制造模式，本文对其概念、理论和 研究状况进行了介绍和分析．整子是构造制造系统的一种模块，它具有自治性及合作性，而 整子制造系统则追求快速适应环境变化的能力．整子制造系统采用了一种松弛的动态递阶控 制结构．目前整子制造系统仍然处于对“下一代制造模式”的研究阶段，离实际应用还有一 定的距离．     

VOD系统的设计和实现

简要介绍了VOD系统的主要功能，分析了VOD系统的原理，从VOD视频服务器、管理服务器、网络连接、终端等主要方面研究了VOD系统的设计与实现，研究了VOD在国内外的发展现状及未来发展趋势。     

VOD系统的设计和实现

简要介绍了VOD系统的主要功能,分析了VOD系统的原理,从VOD视频服务器、管理服务器、网络连接、终端等主要方面研究了VOD系统的设计与实现,研究了VOD在国内外的发展现状及未来发展趋势。     

Book Reviews

Book reviewd in this article:
Developing Expert Systems A Knowledge Engineer's Handbook for Rules and Objects, Edmund C. Payne, Robert C. McArthur
Building Large Knowledge-Based Systems. Douglas B. Lenat, R. V. Guha.
Designing Systems A Guide to Selecting Implementation Techniques. Paul J. Kline and Steven B. Dolins.     

Splitting methods for decision tree induction: An exploration of the relative performance of two entropy-based families

Decision tree (DT) induction is among the more popular of the data mining techniques. An important component of DT induction algorithms is the splitting method, with the most commonly used method being based on the Conditional Entropy (CE) family. However, it is well known that there is no single splitting method that will give the best performance for all problem instances. In this paper we explore the relative performance of the Conditional Entropy family and another family that is based on the Class-Attribute Mutual Information (CAMI) measure. Our results suggest that while some datasets are insensitive to the choice of splitting methods, other datasets are very sensitive to the choice of splitting methods. For example, some of the CAMI family methods may be more appropriate than the popular Gain Ratio (GR) method for datasets which have nominal predictor attributes, and are competitive with the GR method for those datasets where all predictor attributes are numeric. Given that it is never known beforehand which splitting method will lead to the best DT for a given dataset, and given the relatively good performance of the CAMI methods, it seems appropriate to suggest that splitting methods from the CAMI family should be included in data mining toolsets. Kweku-Mauta Osei-Bryson is Professor of Information Systems at Virginia Commonwealth University, where he also served as the Coordinator of the Ph.D. program in Information Systems during 2001–2003. Previously he was Professor of Information Systems and Decision Analysis in the School of Business at Howard University, Washington, DC, U.S.A. He has also worked as an Information Systems practitioner in both industry and government. He holds a Ph.D. in Applied Mathematics (Management Science & Information Systems) from the University of Maryland at College Park, a M.S. in Systems Engineering from Howard University, and a B.Sc. in Natural Sciences from the University of the West Indies at Mona. He currently does research in various areas including: Data Mining, Expert Systems, Decision Support Systems, Group Support Systems, Information Systems Outsourcing, Multi-Criteria Decision Analysis. His papers have been published in various journals including: Information & Management, Information Systems Journal, Information Systems Frontiers, Business Process Management Journal, International Journal of Intelligent Systems, IEEE Transactions on Knowledge & Data Engineering, Data & Knowledge Engineering, Information & Software Technology, Decision Support Systems, Information Processing and Management, Computers & Operations Research, European Journal of Operational Research, Journal of the Operational Research Society, Journal of the Association for Information Systems, Journal of Multi-Criteria Decision Analysis, Applications of Management Science. Currently he serves an Associate Editor of the INFORMS Journal on Computing, and is a member of the Editorial Board of the Computers & Operations Research journal. Kendall E. Giles received the BS degree in Electrical Engineering from Virginia Tech in 1991, the MS degree in Electrical Engineering from Purdue University in 1993, the MS degree in Information Systems from Virginia Commonwealth University in 2002, and the MS degree in Computer Science from Johns Hopkins University in 2004. Currently he is a PhD student (ABD) in Computer Science at Johns Hopkins, and is a Research Assistant in the Applied Mathematics and Statistics department. He has over 15 years of work experience in industry, government, and academic institutions. His research interests can be partially summarized by the following keywords: network security, mathematical modeling, pattern classification, and high dimensional data analysis.     

Accountability and Control Over Autonomous Weapon Systems: A Framework for Comprehensive Human Oversight

Accountability and responsibility are key concepts in the academic and societal debate on Autonomous Weapon Systems, but these notions are often used as high-level overarching constructs and are not operationalised to be useful in practice. “Meaningful Human Control” is often mentioned as a requirement for the deployment of Autonomous Weapon Systems, but a common definition of what this notion means in practice, and a clear understanding of its relation with responsibility and accountability is also lacking. In this paper, we present a definition of these concepts and describe the relations between accountability, responsibility, control and oversight in order to show how these notions are distinct but also connected. We focus on accountability as a particular form of responsibility—the obligation to explain one’s action to a forum—and we present three ways in which the introduction of Autonomous Weapon Systems may create “accountability gaps”. We propose a Framework for Comprehensive Human Oversight based on an engineering, socio-technical and governance perspective on control. Our main claim is that combining the control mechanisms at technical, socio-technical and governance levels will lead to comprehensive human oversight over Autonomous Weapon Systems which may ensure solid controllability and accountability for the behaviour of Autonomous Weapon Systems. Finally, we give an overview of the military control instruments that are currently used in the Netherlands and show the applicability of the comprehensive human oversight Framework to Autonomous Weapon Systems. Our analysis reveals two main gaps in the current control mechanisms as applied to Autonomous Weapon Systems. We have identified three first options as future work for the design of a control mechanism, one in the technological layer, one in the socio-technical layer and one the governance layer, in order to achieve comprehensive human oversight and ensure accountability over Autonomous Weapon Systems.

     

一种基于OODB的协同写作系统的研究

协同写作系统属于协作系统（Collaborative System）的范畴,它是该研究领域一种比较重要的应用。该文介绍了作者在以面向对象数据库作为协同写作系统的支撑平台方面所作的研究工作,原型系统已在XDOODB上实现。     

MANAGING IOT SYSTEMS

ABSTRACT

The Internet of Things Systems, or IoT Systems, can have the potential to add substantial value to institutions, such as university campuses, cities, and corporate campuses. However, if these systems are not thoughtfully selected, implemented, subsequently managed, they can instead bring substantial risk to the same. This erosion of value manifests itself in negative ROI on the systems as well degraded cyber risk/cybersecurity posture for the institution, city, or corporate campus. Amongst all of the excitement of what added value IoT Systems can potentially bring – all of the ‘bling’, it is easy to miss the nuanced, but substantial systemic costs that acquisition, implementation and operation/management of these systems bring. The aggregation of this systemic loss can bring the whole value proposition to its knees, both in terms of lost financial and resource investment as well as appreciably degraded cybersecurity posture. IoT Systems are sociotechnical systems that encounter systems loss, as do all systems. As such, they need to be reviewed in that context to serve the needs of the institution, city, or corporation. This article will review differences between IoT Systems and traditional IT systems, what IoT Systems implementation success looks like, systems of systems, boundaries and seams between systems, the importance of manageability of IoT Systems, IoT vendor relationships and vendor management, planning considerations, and strategy.     

面向海洋油气资源综合预测的海洋地理信息系统研究

由于海洋地理信息系统在海洋领域研究中具有多种优势,并已开始在海洋领域很多方面中应用,因此针对海洋油气资源综合预测开发的相应的系统,在分析海洋地理信息系统研究背景的基础上,综合论述了国内外学者的研究状况,重点介绍限针对海洋油气资源综合预测而开发的海洋油气资源预测集成系统,即主要介绍了该系统的系统环境、工作流程及其结构和功能,最后,论述了 研究的结论以及发展前景,该项研究推动了海洋油气资源综合预测地理     

Erratum

IEEE International Conference on Robotics and Automation (ICRA). IEEE/RSJ International Conference on Intelligent Robots and Systems. The American Control Conference. IFAC World Congress. IEEE Conference on Control Technology and Applications. IEEE Conference on Decision and Control. International Conference on Unmanned Aircraft Systems. IEEE International Conference on Systems, Man and Cybernetics. IEEE International Conference on Communications.     

Information systems security research agenda: Exploring the gap between research and practice

This paper undertakes a systematic review of the Information Systems Security literature. The literature review consists of three parts: First, we perform topic modeling of major Information Systems journals to understand the field's debates. Second, we conduct a Delphi Study composed of the Chief Information Security Officers of major corporations in the US to identify security issues that they view as important. Third, we compare Topic Modeling and the Delphi Study results and discuss key debates, gaps, and contradictions within the academic literature. Further, extant Information Systems Security literature is reviewed to discuss where the academic community has placed the research emphasis and what is now required in the discipline. Based on our analysis, we propose a future agenda for Information Systems security research.     

Guest editorial to the theme section on Multi-Paradigm Modeling for Cyber-Physical Systems

Software and Systems Modeling - This theme section aims to disseminate the latest research results in the area of Multi-Paradigm Modeling for Cyber-Physical Systems (MPM4CPS). MPM has a long...     

CALL FOR PAPERSEI北大核心CSCD

2012 IEEE Multi-conference on Systems and Control(IEEE MSC 2012) October 3-5,2012 Dubrovnik Palace Hotel,Dubrovnik,CROATIA The 2012 IEEE Multi-Conference on Systems and Control(MSC 2012) will take place in Dubrovnik Palace Hotel,Dubrovnik,Croatia,on October 3 5,2012.MSC 2012 includes two international conferences sponsored and promoted by the IEEE Control Systems Society: The IEEE Conference on Control Applications(CCA) The IEEE International Symposium on Intelligent Control(ISIC)     

应用型人才培养目标下的信号与系统课程教学模式

建立一种行之有效的、应用型人才培养目标下的信号与系统课程教学模式已成为当前人才培养的重要课题。本文从师资队伍建设、教材建设、教学方法改革、实践环节改革等方面对应用型人才培养目标下信号与系统课程的新的教学模式进行论述。