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IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Issue 2 • Date Apr 1999

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Displaying Results 1 - 20 of 20
  • Bounded diffusion for multiscale edge detection using regularized cubic B-spline fitting

    Publication Year: 1999, Page(s):291 - 297
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    This paper shows that in edge detection the regularization factor α is a better scale parameter than the standard deviation (σ) of the Gaussian pre-filter. The α scale space, which exhibits the evolutionary behaviour of an edge in various scales, is the basis for the design of a multiscale edge detector (MRCBS). In MRCBS, the scale is determined adaptively according to the local ... View full abstract»

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  • Postprocessing statistical language models for handwritten Chinese character recognizer

    Publication Year: 1999, Page(s):286 - 291
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (196 KB)

    Two statistical language models have been investigated on their effectiveness in upgrading the accuracy of a Chinese character recognizer. The baseline model is one of lexical analytic nature which segments a sequence of character images according to the maximum matching of words with consideration of word binding forces. A model of bigram statistics of word-classes is then investigated and compar... View full abstract»

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  • Deriving minimal conflict sets by CS-trees with mark set in diagnosis from first principles

    Publication Year: 1999, Page(s):281 - 286
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (188 KB)

    To discriminate among all possible diagnoses using Hou's theory of measurement in diagnosis from first principles, one has to derive all minimal conflict sets from a known conflict set. However, the result derived from Hou's method depends on the order of node generation in CS-trees. We develop a derivation method with mark set to overcome this drawback of Hou's method. We also show that our metho... View full abstract»

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  • Identification of nonlinear dynamic systems using functional link artificial neural networks

    Publication Year: 1999, Page(s):254 - 262
    Cited by:  Papers (162)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    We have presented an alternate ANN structure called functional link ANN (FLANN) for nonlinear dynamic system identification using the popular backpropagation algorithm. In contrast to a feedforward ANN structure, i.e., a multilayer perceptron (MLP), the FLANN is basically a single layer structure in which nonlinearity is introduced by enhancing the input pattern with nonlinear functional expansion... View full abstract»

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  • Network-based approach to online cursive script recognition

    Publication Year: 1999, Page(s):321 - 328
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB)

    The idea of combining the network of HMMs and the dynamic programming-based search is highly relevant to online handwriting recognition. The word model of HMM network can be systematically constructed by concatenating letter and ligature HMM's while sharing common ones. Character recognition in such a network can be defined as the task of best aligning a given input sequence to the best path in th... View full abstract»

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  • Multisensory visual servoing by a neural network

    Publication Year: 1999, Page(s):276 - 280
    Cited by:  Papers (2)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    Conventional computer vision methods for determining a robot's end-effector motion based on sensory data needs sensor calibration (e.g., camera calibration) and sensor-to-hand calibration (e.g., hand-eye calibration). This involves many computations and even some difficulties, especially when different kinds of sensors are involved. In this correspondence, we present a neural network approach to t... View full abstract»

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  • Normal forms of fuzzy middle and fuzzy contradictions

    Publication Year: 1999, Page(s):237 - 253
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (780 KB)

    The expressions of “excluded middle” and “crisp contradiction” are reexamined starting with their original linguistic expressions which are first restated in propositional and then predicate forms. It is shown that, in order to generalize the truth tables and hence the normal forms, the membership assignments in predicate expressions must be separated from their truth quali... View full abstract»

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  • An intelligent mobile vehicle navigator based on fuzzy logic and reinforcement learning

    Publication Year: 1999, Page(s):314 - 321
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB)

    In this paper, an alternative training approach to the EEM-based training method is presented and a fuzzy reactive navigation architecture is described. The new training method is 270 times faster in learning speed; and is only 4% of the learning cost of the EEM method. It also has very reliable convergence of learning; very high number of learned rules (98.8%); and high adaptability. Using the ru... View full abstract»

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  • Learning sensor-based navigation of a real mobile robot in unknown worlds

    Publication Year: 1999, Page(s):164 - 178
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB)

    In this paper, we address the problem of navigating an autonomous mobile robot in an unknown indoor environment. The parti-game multiresolution learning approach is applied for simultaneous and cooperative construction of a world model, and learning to navigate through an obstacle-free path from a starting position to a known goal region. The paper introduces a new approach, based on the applicati... View full abstract»

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  • A novel artificial neural network for sorting

    Publication Year: 1999, Page(s):271 - 275
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB)

    An artificial neural network (ANN) is employed for sorting a sequence of real elements in monotonic (descending or ascending) order. Although inspired by harmony theory (HT), whereby the same construction as for the HT ANN is followed, the proposed ANN differs in the mode of operation, namely the obliteration of the consensus (harmony) function, the circumvention of simulated annealing as a means ... View full abstract»

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  • Volterra series analysis and synthesis of a neural network for velocity estimation

    Publication Year: 1999, Page(s):190 - 197
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB)

    The motion detection problem occurs frequently in many applications connected with computer vision. Researchers have studied motion detection based on naturally occurring biological circuits for over a century. In this paper, we propose and analyze a motion detection circuit which is based on nerve membrane conduction. It consists of two unidirectional neural networks connected in an opposing fash... View full abstract»

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  • Tuning of a neuro-fuzzy controller by genetic algorithm

    Publication Year: 1999, Page(s):226 - 236
    Cited by:  Papers (123)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    Due to their powerful optimization property, genetic algorithms (GAs) are currently being investigated for the development of adaptive or self-tuning fuzzy logic control systems. This paper presents a neuro-fuzzy logic controller (NFLC) where all of its parameters can be tuned simultaneously by GA. The structure of the controller is based on the radial basis function neural network (RBF) with Gaus... View full abstract»

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  • Detecting 3-D motion field from range image sequences

    Publication Year: 1999, Page(s):308 - 314
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    An algorithm for computing three-dimensional (3-D) velocity field and motion parameters from a range image sequence is presented. It is based on a new integral 3-D rigid motion invariant feature-the trace of a 3×3 “feature matrix” related to the moment of inertia tensor. This trace can be computed at every point of a moving surface and provides a quantitative measure of the local... View full abstract»

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  • Intelligent controllers as hierarchical stochastic automata

    Publication Year: 1999, Page(s):151 - 163
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    This paper introduces a design methodology for intelligent controllers, based on a hierarchical linguistic model of command translation by tasks-primitive tasks-primitive actions, and on a two-stage hierarchical learning stochastic automaton that models the translation interfaces of a three-level hierarchical intelligent controller. The methodology relies on the designer's a priori knowledge on ho... View full abstract»

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  • Robust pose estimation

    Publication Year: 1999, Page(s):297 - 303
    Cited by:  Papers (16)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (460 KB)

    Standard least-squares (LS) methods for pose estimation of objects are sensitive to outliers which can occur due to mismatches. Even a single mismatch can severely distort the estimated pose. This paper describes a least-median of squares (LMedS) approach to estimating pose using point matches. It is both robust (resistant to up to 50% outliers) and efficient (linear in the number of points). The ... View full abstract»

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  • Nonlinear channel equalization for QAM signal constellation using artificial neural networks

    Publication Year: 1999, Page(s):262 - 271
    Cited by:  Papers (88)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    Application of artificial neural networks (ANN's) to adaptive channel equalization in a digital communication system with 4-QAM signal constellation is reported in this paper. A novel computationally efficient single layer functional link ANN (FLANN) is proposed for this purpose. This network has a simple structure in which the nonlinearity is introduced by functional expansion of the input patter... View full abstract»

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  • Tracking control of multi-input affine nonlinear dynamical systems with unknown nonlinearities using dynamical neural networks

    Publication Year: 1999, Page(s):179 - 189
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    The purpose of this paper is to design and rigorously analyze a tracking controller, based on a dynamic neural network model for unknown but affine in the control, multi input nonlinear dynamical systems, Lyapunov stability theory is used to guarantee a uniform ultimate boundedness property for the tracking error, as well as of all other signals in the closed loop. The controller derived is smooth... View full abstract»

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  • A self-processing network model for relational databases

    Publication Year: 1999, Page(s):198 - 225
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (924 KB)

    In this paper, a model which combines relational databases with self-processing networks is proposed in order to improve the performance of very large databases. The proposed model uses an approach which is radically different from all other distributed database models, where each computer processes a portion of the database. In the self-processing network model, the network structure which consis... View full abstract»

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  • Fast image classification using a sequence of visual fixations

    Publication Year: 1999, Page(s):304 - 308
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (640 KB)

    Based on human retinal sampling distributions and eye movements, a sequential resolution image preprocessor is developed. Combined with a nearest neighbor classifier, this preprocessor provides an efficient image classification method, the sequential resolution nearest neighbor (SRNN) classifier. The human eye has a typical fixation sequence that exploits the nonuniform sampling distribution of it... View full abstract»

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  • Induced ordered weighted averaging operators

    Publication Year: 1999, Page(s):141 - 150
    Cited by:  Papers (333)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    We briefly describe the Ordered Weighted Averaging (OWA) operator and discuss a methodology for learning the associated weighting vector from observational data. We then introduce a more general type of OWA operator called the Induced Ordered Weighted Averaging (IOWA) Operator. These operators take as their argument pairs, called OWA pairs, in which one component is used to induce an ordering over... 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