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

Issue 3 • Date May 2001

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Displaying Results 1 - 11 of 11
  • A myosignal-based powered exoskeleton system

    Publication Year: 2001 , Page(s): 210 - 222
    Cited by:  Papers (103)  |  Patents (14)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (276 KB)  

    This paper studies the integration of a human arm with a powered exoskeleton (orthotic device) and its experimental implementation in an elbow joint, naturally controlled by the human. The human-machine interface was set at the neuromuscular level, by using the neuromuscular signal (EMG) as the primary command signal for the exoskeleton system. The EMG signal along with the joint kinematics were fed into a myoprocessor which in turn predicted the muscle moments on the elbow joint. The moment-based control system integrated myoprocessor moment prediction with feedback moments measured at the human arm/exoskeleton and external load/exoskeleton interfaces. The exoskeleton structure under study was a two-link, two-joint mechanism, corresponding to the arm limbs and joints, which was mechanically linked by the human operator. Four indices of performance were used to define the quality of the human/machine integration and to evaluate the operational envelope of the system. Experimental results indicate the feasibility of an EMG-based power exoskeleton system as an integrated human-machine system using high-level neurological signals View full abstract»

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  • A new data processing method based on a biological model of the compound eye: direction quantization representation

    Publication Year: 2001 , Page(s): 238 - 245
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (292 KB)  

    This paper presents a new data representation method called direction quantization representation (DQR) which is motivated by a simplified geometric model of biological compound eye and used in describing the shape of convex hulls of objects. Advantages of DQR include high efficiency and stability in numerical computation, convenience for semidynamic maintenance, suitability for parallel implementation, and applicability to various convex set related problems. Several practical applications are presented which show the feasibility and powerfulness of DQR View full abstract»

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  • Information theoretic approach to man-machine interface complexity evaluation

    Publication Year: 2001 , Page(s): 163 - 171
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (248 KB) |  | HTML iconHTML  

    We analyze the interactions between human operators and control room equipment and find that several factors affect the information-gathering and decision-making processes of operators: contents of the provided information, the way information is provided, and knowledge of the operators. These factors contribute to the perceived cognitive complexity by human operators in plant operation. Based on the information theory concept, we propose an integrated framework for evaluating this complexity. The proposed framework is designed to be applied to various types of control room equipment which have different types of man-machine interface and contain different types of information. An experimental verification for the proposed framework is performed and its result shows that the framework successfully integrates various aspects of man-machine interface systems and estimates the mental workload of human operators View full abstract»

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  • An interactive algorithm for multicriteria decision making: the attainable reference point method

    Publication Year: 2001 , Page(s): 194 - 198
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (120 KB)  

    An interactive algorithm, the attainable reference point method, is proposed for finding a satisfactory solution to a general multicriteria decision making problem. The decision-maker is only required to modify the reference value of the satisfactory objectives to generate a new attainable reference point in each iteration step. The lexicographic weighted Tchebycheff program associated with the attainable reference point is constructed to guarantee the efficiency of all the discussed points. The value of the unsatisfactory objective chosen by the decision-maker is improved to be satisfactory. Thus its reference value does not need to be modified again in later iterations, and a satisfactory solution can be derived in finite steps. A numerical example is presented to demonstrate the feasibility and efficiency of the proposed method View full abstract»

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  • Modeling and driving a reduced human mannequin through motion captured data: a neural network approach

    Publication Year: 2001 , Page(s): 187 - 193
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (136 KB)  

    One of the major problems which arises in the field of virtual design is the realization of virtual mannequins able to move in a human like way. This work focuses on the analysis of the human sitting working posture, which is described by a 30-DOF mannequin, modeling the upper part of the body (pelvis, trunk, arms, and head). Trajectories formation in point to point reaching movements represents the main topic. Our approach is based on the acquisition of real human kinematics data, collected by means of an automatic motion analyzer. Starting from the kinematics database of one subject, sit in front of a desk, a neural network was trained in order to generate the movements of the virtual mannequin. The work is divided into four parts: mannequin modeling, 3D human data collection, data preprocessing according to the biomechanical model, and design and training of a multilayer perceptron neural network View full abstract»

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  • Convex optimization approach to identify fusion for multisensor target tracking

    Publication Year: 2001 , Page(s): 172 - 178
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (168 KB)  

    We consider the problem of identity fusion for a multisensor target tracking system whereby the sensors generate reports on the target identities. Since sensor reports are typically fuzzy, incomplete, or inconsistent, the fusion of such sensor reports becomes a major challenge. In this paper, we introduce a new identity fusion method based on the minimization of inconsistencies among the sensor reports by using a convex quadratic programming formulation. In contrast to Dempster-Shafer's evidential reasoning approach which suffers from exponentially growing complexity, our approach is highly efficient (polynomial time solvable). Moreover, our approach can fuse sensor reports of the form more general than that allowed by the evidential reasoning theory. Simulation results show that our method generates reasonable fusion results which are similar to that obtained via the evidential reasoning theory View full abstract»

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  • A Bayesian predictive software reliability model with pseudo-failures

    Publication Year: 2001 , Page(s): 233 - 238
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (216 KB)  

    In our previous paper (2000), a Bayesian software reliability model with stochastically decreasing hazard rate was presented. Within any given failure time interval, the hazard rate is a function of both total testing time as well as number of encountered encountered failures. In this paper, to improve the predictive performance of our previously proposed model, a pseudo-failure is inserted whenever there is a period of failure-free execution equals (1-α)th percentile of the predictive distribution for time until the next failure has passed. We apply the enhanced model with pseudo-failures inserted to actual software failure data and show it gives better results under the sum of square errors criteria compared to previous Bayesian models and other existing times between failures models View full abstract»

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  • Modeling automatic assembly and disassembly operations for virtual manufacturing

    Publication Year: 2001 , Page(s): 223 - 232
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (324 KB)  

    A system for evaluating products in their design phase has been developed for virtual manufacturing. It is integrated into a CAD/CAM environment to calculate the cost for assembling and disassembling parts. In our earlier work, a generic assembly and disassembly model was developed to represent operations required for product manufacturing and de-manufacturing. To be useful, the model requires a method for translating high-level instructions from product designers into low-level assembly and disassembly instructions. This paper presents a set of rules for accomplishing this task. The developed rules are used for manipulating strings representing parts and handlers in binary assembly and disassembly operations. A telephone assembly and disassembly simulation is used to illustrate the developed system View full abstract»

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  • A comparative analysis of information acquisition mechanisms for discrete resource allocation

    Publication Year: 2001 , Page(s): 199 - 209
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (156 KB)  

    Discrete resource allocation problems (RAPs) deal with making decisions that result in an optimal deployment of indivisible scarce resources among a group of agents so as to achieve the maximum aggregate utility. One prerequisite for solving the discrete RAP is that the decision maker be cognizant of the individual utility functions for the agents involved. When an agent's preference information is not available, the decision maker needs to gather such information through an inquiry process. The information acquisition process entails its own costs such as communication costs and computation costs. In this paper, three different information inference mechanisms merging, ranking, and entropy - are proposed and compared for the information acquisition process in the discrete RAP. It is found that the merging mechanism results in the least computation costs for the decision maker while the entropy mechanism incurs the least communication costs View full abstract»

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  • Firing and enabling sequences estimation for timed Petri nets

    Publication Year: 2001 , Page(s): 153 - 162
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (320 KB) |  | HTML iconHTML  

    Petri nets (PNs) are useful tools for the modeling and analysis of discrete event systems. This work deals with the estimation of firing and enabling sequences for timed transition PNs with unknown time delays. The marking and reserved marking of the places are measured online. The estimation problem has exact and approximated solutions that are described. Sufficient conditions are given on the measurement accuracy of the marking and reserved marking vectors, so that the estimation of firing and enabling sequences is an exact one. If the estimation provides several solutions, the PN is extended in order to give a unique solution. Numerical aspects of the estimation are also investigated. As a consequence of this, the proposed method provides interesting tools for the modeling, performance analysis, and above all the monitoring of manufacturing systems and road traffic networks View full abstract»

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  • Target tracking using a hierarchical grey-fuzzy motion decision-making method

    Publication Year: 2001 , Page(s): 179 - 186
    Cited by:  Papers (20)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (164 KB)  

    This paper presents a hierarchical grey-fuzzy motion decision-making (HGFMD) algorithm, which is capable of integrating multiple sequential data for decision making and for the design of the control kernel of the target tracking system. The algorithm combines multiple grey prediction modules, each of which can estimate a suitable model from sequential sensory information for approximating the observed dynamic system for future-trend prediction and for decision making through a multilayer fuzzy logic inference engine. We have designed the HGFMD controller for a target tracking system and implemented it in our autonomous mobile robot. The HGFMD is compared with the conventional fuzzy logic controller, multilayer fuzzy controller, and the original grey-fuzzy controller developed previously in various target-tracking experiments. We demonstrated the high reliability of the HGFMD controller and tracking system even when encountering the uncertain status of slow sensory response time and the nonlinear motion behaviors of the target View full abstract»

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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