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Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Issue 4 • Date Aug. 2001

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Displaying Results 1 - 18 of 18
  • SMCB goes all electronic

    Publication Year: 2001 , Page(s): 481
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    Freely Available from IEEE
  • Comparison of edge detection algorithms using a structure from motion task

    Publication Year: 2001 , Page(s): 589 - 601
    Cited by:  Papers (23)
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    Request Permissions | Click to expandAbstract | PDF file iconPDF (528 KB) |  | HTML iconHTML  

    This paper presents an evaluation of edge detector performance. We use the task of structure from motion (SFM) as a "black box" through which to evaluate the performance of edge detection algorithms. Edge detector goodness is measured by how accurately the SFM could recover the known structure and motion from the edge detection of the image sequences. We use a variety of real image sequences with ... View full abstract»

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  • Comments on "Constraining the optimization of a fuzzy logic controller"

    Publication Year: 2001 , Page(s): 663 - 666
    Request Permissions | Click to expandAbstract | PDF file iconPDF (100 KB) |  | HTML iconHTML  

    Genetic algorithms (GAs) are a highly effective and efficient means of solving optimization problems. Gene encoding, fitness landscape and genetic operations are vital to successfully developing a GA. F. Cheong and R. Lai (see ibid., vol. 30, p. 31-46 (2000)) described a novel method, which employed an enhanced genetic algorithm with multiple populations, to optimize a fuzzy controller, and the ex... View full abstract»

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  • SAFARI: a structured approach for automatic rule

    Publication Year: 2001 , Page(s): 650 - 657
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (188 KB) |  | HTML iconHTML  

    This paper describes a new algorithm for obtaining rules automatically from training examples. The algorithm is applicable to examples involving both objects: with discrete and continuous-valued attributes. The paper explains a new quantization procedure fur continuous-valued attributes and shows how appropriate ranges of values of various attributes are obtained. The algorithm uses a decision-tre... View full abstract»

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  • A decomposition of fuzzy relations

    Publication Year: 2001 , Page(s): 657 - 663
    Cited by:  Papers (6)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (220 KB) |  | HTML iconHTML  

    This study is concerned with a decomposition of fuzzy relations, that is their representation with the aid of a certain number of fuzzy sets. We say that some fuzzy sets decompose an original fuzzy refraction if the sum of their Cartesian products approximate the given fuzzy relation. The theoretical underpinnings of the problem are presented along with some linkages with Boolean matrices (such as... View full abstract»

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  • Detection of weak chaos in infant respiration

    Publication Year: 2001 , Page(s): 637 - 642
    Cited by:  Papers (6)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (184 KB) |  | HTML iconHTML  

    This paper concerns the application of newly developed methods for decomposition of an infant respiratory signal into locally stable nonsinusoidal periodic components. Each estimated component has dynamical variation in its three periodicity attributes, i.e., periodicity, scaling factors, and the waveform or pattern associated with the successive segments. Earlier, it has been reported with the ap... View full abstract»

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  • Neural dynamic optimization for control systems. I. Background

    Publication Year: 2001 , Page(s): 482 - 489
    Cited by:  Papers (12)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (152 KB) |  | HTML iconHTML  

    The paper presents neural dynamic optimization (NDO) as a method of optimal feedback control for nonlinear multi-input-multi-output (MIMO) systems. The main feature of NDO is that it enables neural networks to approximate the optimal feedback solution whose existence dynamic programming (DP) justifies, thereby reducing the complexities of computation and storage problems of the classical methods s... View full abstract»

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  • Synthesizing two-fingered grippers for positioning and identifying objects

    Publication Year: 2001 , Page(s): 602 - 615
    Cited by:  Papers (4)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (536 KB) |  | HTML iconHTML  

    Most industrial grippers now in use are two-fingered. Among them the parallel-jaw gripper is the simplest. It can partially remove the pose uncertainty of an object through grasping, such as the orientation uncertainty. This paper addresses a new type of grippers with the finger configuration of four circles instead of two parallel lines. It has a number of important advantages. Especially, it ach... View full abstract»

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  • Top-down guided eye movements

    Publication Year: 2001 , Page(s): 514 - 522
    Cited by:  Papers (16)  |  Patents (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (428 KB) |  | HTML iconHTML  

    Eye movements (EMs) are an important aspect of human visual behavior. The temporal and space-variant nature of sampling a visual scene requires frequent attentional gaze shifts (saccades) to fixate onto different parts of an image. Fixations are often directed toward the most informative regions in the visual scene. We introduce a model and its simulation that can select such regions based on prio... View full abstract»

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  • Linguistic description of relative positions in images

    Publication Year: 2001 , Page(s): 573 - 588
    Cited by:  Papers (26)  |  Patents (1)
    Multimedia
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1104 KB) |  | HTML iconHTML  

    Fuzzy set methods have been used to model and manage uncertainty in various aspects of image processing, pattern recognition, and computer vision. High-level computer vision applications hold a great potential for fuzzy set theory because of its links to natural language. Linguistic scene description, a language-based interpretation of regions and their relationships, is one such application that ... View full abstract»

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  • Neural dynamic optimization for control systems.II. Theory

    Publication Year: 2001 , Page(s): 490 - 501
    Cited by:  Papers (17)  |  Patents (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (248 KB) |  | HTML iconHTML  

    The paper presents neural dynamic optimization (NDO) as a method of optimal feedback control for nonlinear multi-input-multi-output (MIMO) systems. The main feature of NDO is that it enables neural networks to approximate the optimal feedback solution whose existence dynamic programming (DP) justifies, thereby reducing the complexities of computation and storage problems of the classical methods s... View full abstract»

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  • Two-parameter Fisher criterion

    Publication Year: 2001 , Page(s): 629 - 636
    Cited by:  Papers (10)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (184 KB) |  | HTML iconHTML  

    This paper proposes further generalization of a multiclass Fisher's criterion. A formula describing the dependence between the generalized multiclass Fisher's criterion FΘ and the variance criterion FvΘ has been obtained. Using this formula, it has been shown that the feature extraction methods based on the Karhunen-Loeve (K-L) expansions are special cases of the ... View full abstract»

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  • Conflict detection during plan integration for multi-agent systems

    Publication Year: 2001 , Page(s): 616 - 628
    Cited by:  Papers (11)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (312 KB) |  | HTML iconHTML  

    This paper describes techniques developed for conflict detection during plan integration. Agents' intensions are represented with intended goal structure (IGS) and the E-PERT diagrams. Conflicts are classified as goal, plan, and belief conflicts. Before integrating individual plans and detecting plan conflicts, agents first detect and eliminate their goal conflicts by exchanging their IGS. Plan in... View full abstract»

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  • Neural dynamic optimization for control systems.III. Applications

    Publication Year: 2001 , Page(s): 502 - 513
    Cited by:  Papers (8)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (316 KB) |  | HTML iconHTML  

    For pt.II. see ibid., p. 490-501. The paper presents neural dynamic optimization (NDO) as a method of optimal feedback control for nonlinear multi-input-multi-output (MIMO) systems. The main feature of NDO is that it enables neural networks to approximate the optimal feedback solution whose existence dynamic programming (DP) justifies, thereby reducing the complexities of computation and storage p... View full abstract»

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  • A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization

    Publication Year: 2001 , Page(s): 537 - 556
    Cited by:  Papers (24)  |  Patents (6)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1532 KB) |  | HTML iconHTML  

    This paper presents an interactive graphical user interface (GUI) based multiobjective evolutionary algorithm (MOEA) toolbox for effective computer-aided multiobjective (MO) optimization. Without the need of aggregating multiple criteria into a compromise function, it incorporates the concept of Pareto's optimality to evolve a family of nondominated solutions distributing along the tradeoffs unifo... View full abstract»

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  • An effective neuro-fuzzy paradigm for machinery condition health monitoring

    Publication Year: 2001 , Page(s): 523 - 536
    Cited by:  Papers (21)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (292 KB) |  | HTML iconHTML  

    An innovative neuro-fuzzy network appropriate for fault detection and classification in a machinery condition health monitoring environment is proposed. The network, called an incremental learning fuzzy neural (ILFN) network, uses localized neurons to represent the distributions of the input space and is trained using a one-pass, on-line, and incremental learning algorithm that is fast and can ope... View full abstract»

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  • Dynamic image sequence analysis using fuzzy measures

    Publication Year: 2001 , Page(s): 557 - 572
    Cited by:  Papers (9)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (428 KB) |  | HTML iconHTML  

    In this paper, we present an image understanding system using fuzzy sets and fuzzy measures. This system is based on a symbolic object-oriented image interpretation system. We apply a simple, powerful three-dimensional (3-D) recursive filter to tracking moving objects in a dynamic image sequence. This filter has a time-varying 3-D frequency-planar passband that is adapted in a feedback system to a... View full abstract»

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  • Test feature classifiers: performance and applications

    Publication Year: 2001 , Page(s): 643 - 650
    Cited by:  Papers (3)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (292 KB) |  | HTML iconHTML  

    In this paper, we present a class of test feature classifiers (TFCs). We discuss the properties and performance of the proposed classifiers and describe cases when a 100% recognition rate on test data can be achieved. When the number of features increases, classes having no more than a polynomial number of instances (in the number of features) are the only cases possible to process. We prove that ... View full abstract»

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Aims & Scope

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level

 

This Transaction ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College