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Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on

Issue 4 • Date July 2011

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Displaying Results 1 - 23 of 23
  • Table of contents

    Page(s): C1 - 609
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  • IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans publication information

    Page(s): C2
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  • Integrating Safety Analysis With Functional Modeling

    Page(s): 610 - 624
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (583 KB) |  | HTML iconHTML  

    Functional modeling and safety analysis are two important aspects of safety-critical embedded systems. However, they are often conducted separately. In this paper, we present an approach for integrating fault-tree-based safety analysis into statechart-based functional modeling. The proposed approach uses systematic transformation steps that maintain the semantics of both the fault tree and the statechart. It also provides a set of conversion rules that transform the gates of fault trees into statechart notations. The resultant model shows how the system behaves when a failure condition occurs and acts as a basis model that ensures safety through requirement validation. Using the gas burner case study, we demonstrate the advantages of the integrated model over the use of separate models, such as the lack of ambiguities, separation of concerns, and taking the order of the occurrence of faults into consideration. View full abstract»

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  • Reliability Analysis of Multistate Phased-Mission Systems With Unordered and Ordered States

    Page(s): 625 - 636
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (265 KB) |  | HTML iconHTML  

    Multistate phased-mission systems (MS-PMS) are multistate systems subject to multiple, consecutive, and nonoverlapping phases of operation. The challenges in analyzing MS-PMS reside in the dynamic system configuration, failure criteria, and component state transition behavior in different phases, as well as the s-dependence across different phases and among different states of a given component. Existing methods for the reliability analysis of MS-PMS are either based on monolithic Markov models that suffer from the well-known state explosion problem, or using a hierarchical strategy that can only handle ordered component states. This paper presents integrated modeling approaches for the reliability analysis of repairable MS-PMS with both ordered and unordered component states. The proposed methods integrate efficient decision diagram models for representing the system structure function and incorporating the unordered/ordered component states at the system level, and Markov models for describing dependence and transition behaviors at the component level. The application and advantages of the proposed approaches are illustrated through a case study in which the reliability for a sequence of tasks in a multistate distributed computing system is analyzed. View full abstract»

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  • A Gate Reassignment Model for the Taiwan Taoyuan Airport Under Temporary Gate Shortages and Stochastic Flight Delays

    Page(s): 637 - 650
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (935 KB) |  | HTML iconHTML  

    Temporary gate shortages and stochastic flight delays (including late departures or arrivals and early arrivals) are common problems that often occur simultaneously in real-time airport operations. The aim of this paper is to design a gate reassignment model to deal with temporary gate shortages and stochastic flight delays. This is done by allowing the violation of gate reassignment constraints in the model. A numerical test was carried out, based on data from the operations of the Taiwan Taoyuan Airport (a major international airport in Taiwan), to demonstrate the performance of the proposed model. A comparison of the proposed model and a traditional reassignment model, as well as major findings related to the test results, are also discussed and presented. View full abstract»

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  • Game of Risk Communications—The Case of a Japanese Carmaker

    Page(s): 651 - 661
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    In this paper, game models for risk information disclosure-which interpret user payoff structures according to March and Simon's theory of satisficing decision making and interpret a carmaker's payoff structures according to Tversky and Kahneman's cumulative prospect theory-are developed. This risk information disclosure game is used to analyze the recall of products by a carmaker. The transitions made from one game to another correspond to the carmaker's subjective risk assessment of the probability that nondisclosure will be discovered by the user. The user's claims hasten the carmaker's change from a nondisclosure game to another kind of game. The role of a guardian agent in fault information disclosure is examined. The presence of an agent caused the carmaker playing the game to change from nondisclosure to disclosure mode. From the viewpoint of operational cost, the risk information disclosure in an environment where a permanent guardian agent is always active is considered to be effective in achieving good risk communications. View full abstract»

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  • Adaptive Automation, Level of Automation, Allocation Authority, Supervisory Control, and Adaptive Control: Distinctions and Modes of Adaptation

    Page(s): 662 - 667
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    This paper revisits several concepts and model frameworks that have been in the literature of human-machine interaction and control engineering for up to 50 years. The purposes of the revisit are as follows: 1) to sharpen distinctions between adaptive automation, level of automation, allocation authority, supervisory control, and adaptive control engineering as the terms are currently used in the literature; 2) to define modes of human supervisory adaptation from the control engineering perspective; and 3) to suggest comparative taxonomies for adaptive automation in direct control and in supervisory control. View full abstract»

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  • Gender Classification for Web Forums

    Page(s): 668 - 677
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (390 KB) |  | HTML iconHTML  

    More and more women are participating in and exchanging opinions through community-based online social media. Questions concerning gender differences in the new media have been raised. This paper proposes a feature-based text classification framework to examine online gender differences between Web forum posters by analyzing writing styles and topics of interest. Our experiment on an Islamic women's political forum shows that feature sets containing both content-free and content-specific features perform significantly better than those consisting of only content-free features, feature selection can improve the classification results significantly, and female and male participants have significantly different topics of interest. View full abstract»

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  • Periodic Review Multiperiod Inventory Control Under a Mean–Variance Optimization Objective

    Page(s): 678 - 682
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    We study in this correspondence paper a solution scheme which solves a periodic review multiperiod inventory problem under a mean-variance (MV) framework. We first investigate a primal inventory problem with an MV objective function. Owing to the nonseparable nature of variance, we construct an auxiliary problem which is separable. By solving the auxiliary problem, we identify the conditions under which the solutions of the primal and auxiliary problems converge. Hence, we propose the algorithm and show that a base-stock policy is optimal. View full abstract»

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  • Mining and Representing User Interests: The Case of Tagging Practices

    Page(s): 683 - 692
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    Social tagging in online communities has become an important method for reflecting classified thoughts of individual users. A number of social Web sites provide tagging functionalities and also offer folksonomies within or across the sites. However, it is practically not easy to find users' interests based on such folksonomies. In this paper, we provide a novel approach for clustering user-centric interests by analyzing tagging practices of individual users. To do this, we collect Really Simple Syndication data from blogosphere, find conceptual clusters using formal concept analysis, and then evaluate the significance of these clusters. The results of the empirical evaluation show that we can effectively recommend different collections of tags to an individual or a set of users. View full abstract»

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  • Multiagent Ontology Mapping Framework for the Semantic Web

    Page(s): 693 - 704
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    Ontology mapping is a prerequisite for achieving heterogeneous data integration on the Semantic Web. The vision of the Semantic Web implies that a large number of ontologies present on the web need to be aligned before one can make use of them, for example, a question answering on the Semantic Web. At the same time, these ontologies can be used as domain-specific background knowledge by the ontology mapping systems to increase the mapping precision. However, these ontologies can differ in representation, quality, and size that pose different challenges to ontology mapping. In this paper, we analyze these challenges and introduce a multiagent ontology mapping framework that has been designed to operate effectively in the Semantic Web environment. View full abstract»

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  • Contextual Defeasible Logic and Its Application to Ambient Intelligence

    Page(s): 705 - 716
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (262 KB) |  | HTML iconHTML  

    The imperfect nature of context in ambient intelligence environments, and the special characteristics of the entities that possess and share the available context information render contextual reasoning a very challenging task. The accomplishment of this task requires formal models that handle the involved entities as autonomous logic-based agents, and provide methods for handling the imperfect and distributed nature of context. We propose a solution based on the multi-context systems (MCS) formalism, in which local context knowledge of ambient agents is encoded in rule theories (contexts), and information flow between agents is achieved through mapping rules, associating concepts used by different contexts. To handle the imperfect nature of context, we extend MCS with non-monotonic features-local defeasible theories, defeasible mappings, and a preference ordering on the system contexts. In this paper, we present the novel representation model, called contextual defeasible logic, describe how its elements are used to derive distributed conclusions through a proof theory, and propose an algorithm for distributed query evaluation that implements the proof theory of contextual defeasible logic. The application of the proposed approach in a scenario from the ambient intelligence domain demonstrates how its distinct features overcome the challenges imposed by the special characteristics of ambient intelligence environments. View full abstract»

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  • Ontology-Based Business Process Customization for Composite Web Services

    Page(s): 717 - 729
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    A key goal of the Semantic Web is to shift social interaction patterns from a producer-centric paradigm to a consumer-centric one. Treating customers as the most valuable assets and making the business models work better for them are at the core of building successful consumer-centric business models. It follows that customizing business processes constitutes a major concern in the realm of a knowledge-pull-based human semantic Web. This paper conceptualizes the customization of service-based business processes leveraging the existing knowledge of Web services and business processes. We represent this conceptualization as a new Extensible Markup Language (XML) markup language Web Ontology Language-Business Process Customization (OWL-BPC), based on the de facto semantic markup language for Web-based information [Web Ontology Language (OWL)]. Furthermore, we report a framework, built on OWL-BPC, for customizing service-based business processes, which supports customization detection and enactment. Customization detection is enabled by a business-goal analysis, and customization enactment is enabled via event-condition-action rule inference. Our solution and framework have the following capabilities in dealing with inconsistencies and misalignments in business process interactions: 1) resolve semantic mismatch of process parameters; 2) handle behavioral mismatches which may or may not be compatible; and 3) process misaligned rendezvous requirements. Such capabilities are applicable to business processes with heterogeneous domain ontology. We present an architectural description of the implementation and a walk-through of an example of solving a customization problem as a validation of the proposed approach. View full abstract»

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  • Open-Environmental Ontology Modeling

    Page(s): 730 - 745
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    Current open information systems need formal semantic definitions to describe and handle information which is dealt within different interaction environments such as human-to-human, human-to-computer, and computer-to-computer interactions. This paper provides a semantic definition of the knowledge used by environmental management information systems. We describe an ontological model in UML class diagrams and present a formalization of the ontology in first-oder logic and encoded in description logic. A model transformation approach is also used to map the UML class diagram elements into web ontology language. A running example is presented to explain the ontological knowledge modeling of EMIS SOLERES cartography and satellite information. View full abstract»

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  • Multidimensional Social Network in the Social Recommender System

    Page(s): 746 - 759
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1649 KB) |  | HTML iconHTML  

    All online sharing systems gather data that reflects users' collective behavior and their shared activities. This data can be used to extract different kinds of relationships which can be grouped into layers and which are basic components of the multidimensional social network (MSN) proposed in the paper. The layers are created on the basis of two types of relations between humans, i.e., direct and object-based ones which, respectively, correspond to either social or semantic links between individuals. For better understanding of the complexity of the social network structure, layers and their profiles were identified and studied on two, spanned in time, snapshots of the `Flickr' population. Additionally, for each layer, a separate strength measure was proposed. The experiments on the `Flickr' photo sharing system revealed that the relationships between users result either from semantic links between objects they operate on or from social connections of these users. Moreover, the density of the social network increases in time. The second part of this paper is devoted to building a social recommender system that supports the creation of new relations between users in a multimedia sharing system. Its main goal is to generate personalized suggestions that are continuously adapted to users' needs depending on the personal weights assigned to each layer in the MSN. The conducted experiments confirmed the usefulness of the proposed model. View full abstract»

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  • Item Recommendation in Collaborative Tagging Systems

    Page(s): 760 - 771
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (506 KB) |  | HTML iconHTML  

    Along with the new opportunities introduced by Web 2.0 and collaborative tagging systems, several challenges have to be addressed too, notably, the problem of information overload. Recommender systems are among the most successful approaches for increasing the level of relevant content over the “noise.” Traditional recommender systems fail to address the requirements presented in collaborative tagging systems. This paper considers the problem of item recommendation in collaborative tagging systems. It is proposed to model data from collaborative tagging systems with three-mode tensors, in order to capture the three-way correlations between users, tags, and items. By applying multiway analysis, latent correlations are revealed, which help to improve the quality of recommendations. Moreover, a hybrid scheme is proposed that additionally considers content-based information that is extracted from items. Experimental comparison, using data from a real collaborative tagging system (Last.fm), against both recent tag-aware and traditional (non tag aware) item recommendation algorithms indicates significant improvements in recommendation quality. Moreover, the experimental results illustrate the advantage of the proposed hybrid scheme. View full abstract»

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  • An Ontology-Based Framework for Modeling User Behavior—A Case Study in Knowledge Management

    Page(s): 772 - 783
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (521 KB) |  | HTML iconHTML  

    This paper focuses on the role of user modeling and semantically enhanced representations for personalization. This paper presents a generic Ontology-based User Modeling framework (OntobUMf), its components, and its associated user modeling processes. This framework models the behavior of the users and classifies its users according to their behavior. The user ontology is the backbone of OntobUMf and has been designed according to the Information Management System Learning Information Package (IMS LIP). The user ontology includes a Behavior concept that extends IMS LIP specification and defines characteristics of the users interacting with the system. Concrete examples of how OntobUMf is used in the context of a Knowledge Management (KM) System are provided. This paper discusses some of the implications of ontology-based user modeling for semantically enhanced KM and, in particular, for personal KM. The results of this research may contribute to the development of other frameworks for modeling user behavior, other semantically enhanced user modeling frameworks, or other semantically enhanced information systems. View full abstract»

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  • Grid-Enabled Virtual Organizations for Next-Generation Learning Environments

    Page(s): 784 - 797
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    Nowadays, we are witnesses of a transformation in the e-learning arena. This transformation has different drivers involving all the actors in the learning value chain, from final users to learning institutions through technology providers. All those actors share a common goal: making the learning processes more effective through the information and communication technologies. This is happening through the promotion of a paradigm shift from content-centered to process-centered solutions. In this paper, we present the results from the European Learning Grid Infrastructure project concerning models, processes, and services supported by a service-oriented software architecture for creating dynamic and adaptive virtual organizations for learning using Grid technologies. View full abstract»

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  • Ontology Extraction for Knowledge Reuse: The e-Learning Perspective

    Page(s): 798 - 809
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    Ontologies have been frequently employed in order to solve problems derived from the management of shared distributed knowledge and the efficient integration of information across different applications. However, the process of ontology building is still a lengthy and error-prone task. Therefore, a number of research studies to (semi-)automatically build ontologies from existing documents have been developed. In this paper, we present our approach to extract relevant ontology concepts and their relationships from a knowledge base of heterogeneous text documents. We also show the architecture of the implemented system and discuss the experiments in a real-world context. View full abstract»

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  • Falcons Concept Search: A Practical Search Engine for Web Ontologies

    Page(s): 810 - 816
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    Web ontologies provide shared concepts for describing domain entities and thus enable semantic interoperability between applications. To facilitate concept sharing and ontology reusing, we developed Falcons Concept Search, a novel keyword-based ontology search engine. In this paper, we illustrate how the proposed mode of interaction helps users quickly find ontologies that satisfy their needs and present several supportive techniques including a new method of constructing virtual documents of concepts for keyword search, a popularity-based scheme to rank concepts and ontologies, and a way to generate query-relevant structured snippets. We also report the results of a usability evaluation as well as user feedback. View full abstract»

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  • Motivation and Multimodal Interaction in Model-Driven Educational Game Design

    Page(s): 817 - 824
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    In this correspondence, we present an approach to identifying and constructing profiles of user interfaces for educational games. Our approach is based on framing games as educational tools that incorporate fun and learning through motivation as the key ingredient in the learning process and multimodal interaction as the medium for conveying educational material. The proposed solution formalizes the design process, describing educational games in terms of estimated effects that they produce on players. Building upon research on learning and motivation theory, we are connecting these effects with player learning preferences and motivation states. The essence of our solution is the educational game metamodel (EGM), which defines platform-independent educational game concepts. Using the EGM, we have explored novel design approaches for educational games. The metamodel can be used as a conceptual basis for creation of platform-independent educational games, allowing authoring for device and network independence. View full abstract»

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  • IEEE Systems, Man, and Cybernetics Society Information

    Page(s): C3
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  • IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans Information for authors

    Page(s): C4
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Aims & Scope

The fields of systems engineering and human machine systems: systems engineering includes efforts that involve issue formulation, issue analysis and modeling, and decision making and issue interpretation at any of the lifecycle phases associated with the definition, development, and implementation of large systems.

 

This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dr. Witold Pedrycz
University of Alberta