By Topic

Industrial Informatics, IEEE Transactions on

Issue 4 • Date Nov. 2013

Filter Results

Displaying Results 1 - 25 of 66
  • Table of Contents

    Page(s): C1 - 1794
    Save to Project icon | Request Permissions | PDF file iconPDF (170 KB)  
    Freely Available from IEEE
  • IEEE Transactions on Industrial Informatics publication information

    Page(s): C2
    Save to Project icon | Request Permissions | PDF file iconPDF (150 KB)  
    Freely Available from IEEE
  • Beyond 6LoWPAN: Web Services in Wireless Sensor Networks

    Page(s): 1795 - 1805
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1023 KB) |  | HTML iconHTML  

    To date, Wireless Sensor Networks (WSN) require their own specific methodologies, tools, and technologies. With the rise of 6LoWPAN protocols (i.e., IPv6 over Low Power Wireless Personal Area Networks), WSNs can use IP to share a common network layer with other networks and the Internet for highly interoperable device communication. But additional efforts are necessary to develop new or adapt existing application layer protocols for IP-enabled WSNs. Hence, this paper investigates W3C SOAP Web Services (WS) in the context of WSNs. In particular, it is shown that the Devices Profile for Web Services (DPWS) can be used as an application layer protocol in WSNs. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Combining UML-MARTE and Preemptive Time Petri Nets: An Industrial Case Study

    Page(s): 1806 - 1818
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2112 KB) |  | HTML iconHTML  

    We present an approach for integration of formal methods within an industrial SW process, illustrating results obtained in a real scenario subject to Military Standard 498 (MIL-STD-498). On the one hand, the formal nucleus of preemptive Time Petri Nets (pTPNs) is used to support design and verification activities of the development process; on the other hand, the Unified Modeling Language (UML) profile for Modeling and Analysis of Real-Time and Embedded (MARTE) systems is adopted to manage the documentation process prescribed by MIL-STD-498. The two cores are integrated by providing guidance for translation of UML-MARTE specifications into equivalent pTPN models, with specific reference to concurrency control and synchronization mechanisms. This permits to attain a smooth transition from the standard artifacts of MIL-STD-498 to pTPN models and analyses, facilitating deployment of the formal core of pTPNs with a limited impact on the industrial practice. The experience proves practical feasibility and effectiveness of the approach, comprising a step towards industrial applicability of formal methods and practices. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree

    Page(s): 1819 - 1827
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1611 KB) |  | HTML iconHTML  

    This paper proposes a new scheme for measurement, identification, and classification of various types of power quality (PQ) disturbances. The proposed method employs a fast variant of S-Transform (ST) algorithm for the extraction of relevant features, which are used to distinguish among different PQ events by a fuzzy decision tree (FDT)-based classifier. Various single as well as simultaneous power signal disturbances have been simulated to demonstrate the efficiency of the proposed technique. The simulation result implies that the proposed scheme has a higher recognition rate while classifying simultaneous PQ faults, unlike other methods. The Fast dyadic S-transform (FDST) algorithm for accurate time-frequency localization, Decision Tree algorithms for optimal feature selection, Fuzzy decision rules to complement overlapping patterns, robust performance under different noise conditions and a relatively simple classifier methodology are the strengths of the proposed scheme. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • SoPC-Based Parallel ACO Algorithm and its Application to Optimal Motion Controller Design for Intelligent Omnidirectional Mobile Robots

    Page(s): 1828 - 1835
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1886 KB) |  | HTML iconHTML  

    This paper presents an embedded system-on-a-programmable-chip (SoPC)-based parallel ant colony optimization (ACO) algorithm and its application to optimal motion controller design for intelligent omnidirectional mobile robots. Both polar-space parallel ACO (PACO) parameter tuner and kinematic motion controller are integrated in one field programmable gate arrays chip to efficiently construct an intelligent omnidirectional mobile robot. The optimal parameters of the motion controllers are obtained by minimizing the performance index using the proposed SoPC-based PACO algorithm. These polar-space optimal parameters are then employed in the PACO-based embedded kinematic motion controller to achieve trajectory tracking and stabilization. Experimental results are conducted to show the effectiveness and merit of the proposed PACO algorithm for embedded controllers of omnidirectional mobile robots. These results indicate that the proposed PACO-based embedded optimal controller outperforms the nonoptimal controllers and the conventional genetic algorithm optimal controllers in polar coordinates. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Priority-Based Distributed Manufacturing Process Modeling via Hierarchical Timed Color Petri Net

    Page(s): 1836 - 1846
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2205 KB) |  | HTML iconHTML  

    Petri net (PN) is a classical tool for modeling, simulation, and analysis. With the emergence of distributed manufacturing system (DMS), PN has been evolved into different forms such as colored PN (CPN) and timed PN (TPN). To fulfill the practical requirements, CPN has been extended to a larger and more complex model. Meanwhile, DMS becomes an important issue for industry, and how to model a complex manufacturing network for better throughput needs further investigation. A simple single type of PN only cannot fulfill all contemporary requirements at the same time. This paper proposes a new concept for a new PN-hierarchical timed CPN (HTCPN), which can be a powerful tool for modeling, simulation, and analysis for current large complex distributed manufacturing system. This paper presents a general structure of DMS and uses HTCPN to model the manufacturing system as discrete event with dynamic behavior. The proposed approach shows superiority on modeling large complex manufacturing system as it represents the material flow and transitions clearly and provides overview and detailed description for DMS. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Nonlinear Adaptive Control of Ultrasonic Motors Considering Dead-Zone

    Page(s): 1847 - 1854
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1651 KB) |  | HTML iconHTML  

    When applying a load torque to an ultrasonic motor, a dead-zone occurs in the control input. A nonlinear adaptive control, which considers dead-zones, is consequently proposed for the motor. To implement the proposed control strategy, a microcomputer and an embedded system are employed. The state quantities, such as acceleration, speed, and position, are required to apply digital implementation. However, a rotary encoder, which is used to get feedback, causes quantization errors in the speed information. To overcome these problems, a variable structure system observer with the possibility of decreasing quantization error is also presented. In other words, a small, low-cost, and fast responsive microcomputer-based nonlinear adaptive controller is designed and assembled. Effectiveness and reliability of the proposed method is experimentally verified. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Sensorless Direct Torque and Flux Controlled IPM Synchronous Machine Fed by Matrix Converter Over a Wide Speed Range

    Page(s): 1855 - 1867
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3963 KB) |  | HTML iconHTML  

    This paper proposes a new sensorless direct torque and flux controlled interior permanent magnet synchronous machine drive fed by a matrix converter. Closed-loop control of both torque and stator flux is achieved by using two PI controllers. The input and output voltage vectors are modulated with the indirect space vector modulation technique. Additionally, unity power factor on the power supply side of matrix converter is achieved through closed-loop compensation of the input displacement angle created by the input filter of matrix converter. The adaptive observer used for joint stator flux and rotor speed estimation is enhanced by HF signal injection scheme for stable operation at low speed including standstill. The stator resistance variation is compensated with the current estimation error. The operating range of the drive is extended into high speed region by incorporating field weakening. The sensorless drive exhibits high dynamic and steady-state performances over a wide speed range. The implementation of digital control system for the proposed matrix converter drive is described in this paper. Extensive experimental results confirming the effectiveness of the proposed method are also included. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Automatic Generation of the Supervisor Code for Industrial Switched-Mode Systems

    Page(s): 1868 - 1878
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2129 KB) |  | HTML iconHTML  

    This paper describes a methodology for the design and implementation of supervisors for switched-mode systems, which is a typical class of hybrid systems in industrial process applications. Many works can be found in the literature addressing formal modeling and control techniques for switched-mode systems, but they commonly deal with control design and simulation. The focus of this paper is to automate the design of supervisors for industrial switched-mode processes composed by multirate loops, in order to automatically generate the code of the supervisor. Its function is to detect changes in the process operation mode and to switch to the control algorithm accordingly. The target control equipment is the programmable logic controllers (PLCs) and, thus, the software architecture generated follows the IEC 61131-3 standard. The tool developed captures information related to the overall control system (inputs and outputs and control algorithms), as well as to the discrete dynamic of the switched-mode process from the simulation model and automatically generates the supervisor code as well as a time-driven schedule for every supervisor's mode. The improvement of the overall system performance using the switched-mode supervisor is analyzed experimentally through a performance index. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Design and Implementation of Terminal Sliding Mode Control Method for PMSM Speed Regulation System

    Page(s): 1879 - 1891
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1961 KB) |  | HTML iconHTML  

    This paper investigates the speed regulation problem of permanent magnet synchronous motor servo system based on terminal sliding mode control method. By introducing a non-singular terminal sliding mode manifold, a novel terminal sliding mode controller is designed for the speed loop. This controller can make the states not only reach the manifold in finite time, but also converge to the equilibrium point in finite time. Thus, the controller could make the motor speed reach the reference value in finite time, obtaining a faster convergence and a better tracking precision. Meanwhile, considering the large chattering phenomenon caused by high switching gains, a composite terminal sliding mode control method based on disturbance observer is proposed to reduce chattering. Through disturbance estimation for feed-forward compensation, the composite terminal sliding mode controller may take a smaller value for the switching gain without sacrificing disturbance rejection performance. Matlab simulation and TMS320F2808 DSP experimental results are provided to show the superiority of the proposed methods. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An Innovative Design for In-Vitro Fertilization Oocyte Retrieval Systems

    Page(s): 1892 - 1899
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2272 KB) |  | HTML iconHTML  

    In-vitro fertilization (IVF) and related technologies are arguably the most challenging of all cell culture applications. This paper introduces a new design of an integrated oocyte retrieval solution before the oocytes are further put into laboratory processing during IVF treatment. It facilitates the surgery operation and addresses the temperature inaccuracy of follicular fluid during the transfer to the patient's body. The mechanical design is implemented into a medical-standard conforming platform. An accurate temperature estimation and optimization scheme is also proposed. Comparison before and after the introduction of the new prototype under various operating conditions reveals a significant improvement in performance. This yields a potential application for the medical/healthcare industry. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive Control Parameters for Dispersal of Multi-Agent Mobile Ad Hoc Network (MANET) Swarms

    Page(s): 1900 - 1911
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2719 KB) |  | HTML iconHTML  

    A mobile ad hoc network is a collection of independent nodes that communicate wirelessly with one another. This paper investigates nodes that are swarm robots with communications and sensing capabilities. Each robot in the swarm may operate in a distributed and decentralized manner to achieve some goal. This paper presents a novel approach to dynamically adapting control parameters to achieve mesh configuration stability. The presented approach to robot interaction is based on spring force laws (attraction and repulsion laws) to create near-optimal mesh like configurations. In prior work, we presented the extended virtual spring mesh (EVSM) algorithm for the dispersion of robot swarms. This paper extends the EVSM framework by providing the first known study on the effects of adaptive versus static control parameters on robot swarm stability. The EVSM algorithm provides the following novelties: 1) improved performance with adaptive control parameters and 2) accelerated convergence with high formation effectiveness. Simulation results show that 120 robots reach convergence using adaptive control parameters more than twice as fast as with static control parameters in a multiple obstacle environment. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Model Predictive Direct Torque Control With Finite Control Set for PMSM Drive Systems, Part 1: Maximum Torque Per Ampere Operation

    Page(s): 1912 - 1921
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2299 KB) |  | HTML iconHTML  

    A novel type of Model Predictive Direct Torque Control (MP-DTC) is proposed in this paper. The future behavior of the plant is predicted using a discrete-time state-space model in the dq reference frame for a finite set of voltage vectors, which is pre-selected by a graph algorithm. The preferable input is chosen based on a cost function. Contrarily to conventional MP-DTC (and DTC), the stator flux is not explicitly controlled nor hysteresis bounds are used. The cost function is designed to meet multiple demands: torque reference tracking, Maximum Torque per Ampere (MTPA) tracking for high electrical efficiency, and limitation of the states to their maximum admissible values. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive

    Page(s): 1922 - 1936
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3846 KB) |  | HTML iconHTML  

    In this paper, an adaptive dynamic sliding-mode control system (ADSMCS) with recurrent radial basis function network (RRBFN) for indirect field-orientation control induction motor (IM) drive is proposed. The ADSMCS comprises a dynamic sliding-mode controller (DSMC), an RRBFN uncertainty observer and a robust controller. The DSMC is proposed to reduce the chattering phenomenon. However, due to the uncertainty bound being unknown of the switching function for the DSMC, an ADSMCS is proposed to increase the robustness and improve the control performance of IM drive. In the ADSMCS, an RRBFN uncertainty observer is used to estimate an unknown nonlinear time-varying function of lumped parameter uncertainty online. Moreover, the adaptive learning algorithms for the RRBFN are derived using the Lyapunov stability theorem to train the parameters of the RRBFN online. Furthermore, a robust controller is proposed to confront the uncertainties including approximation error, optimal parameter vector and higher order term in Taylor series. A computer simulation and an experimental system are developed to validate the effectiveness of the proposed ADSMCS. All control algorithms are implemented in a TMS320C31 DSP-based control computer. The simulation and experimental results confirm that the ADSMCS grants robust performance and precise response regardless of load disturbances and IM uncertainties. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multistability and Torus Reconstruction in a DC–DC Converter With Multilevel Control

    Page(s): 1937 - 1946
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1988 KB) |  | HTML iconHTML  

    By virtue of their limited size and relatively low costs, multilevel dc-dc converters have come to play an important role in modern industrial power supply systems. When operating in a regime of high corrector gain, such converters can display a variety of new dynamic phenomena associated with the appearance of additional oscillatory modes. Starting in a state where four pairs of stable and unstable period-6 cycles coexist with the basic period-1 cycle, the paper describes a sequence of smooth and nonsmooth bifurcations through which the cycles and their basins of attraction transform as the output voltage is increased. The paper also describes the birth of a multilayered resonance torus through a transverse pitchfork bifurcation of the saddle cycle on an ordinary resonance torus. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • DSP-Based Implementation of Control Strategy for Sinusoidal Input Line Current Imposition for a Hybrid Three-Phase Rectifier

    Page(s): 1947 - 1963
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4715 KB) |  | HTML iconHTML  

    Due to the considerable increase of electronic power processing devices in various segments of industry, the necessity to control and limit the harmonic content of current injected into the distribution systems through the development of pre-regulator converters, has become ever more apparent. Concomitantly, the development of new microprocessors has provided the possibility for the design of sophisticated control algorithms for power electronics converters. In this context, this paper presents an analysis of a hybrid three-phase rectifier developed for power factor correction to be used as an interface of power electronics converters. The main feature of the proposed structure is the power-sharing technique, which assures robustness, cost reduction, and high power density. In this paper, the authors present a complete discussion concerning the controlled rectifier's power contribution and also a complete analysis concerning the total harmonic distortion of current. Mathematical modeling analysis using state space theory is also presented. Experimental results of a 5-kW laboratory prototype using DSP-based control technique are presented in order to corroborate the theoretical analysis. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Clustering-Based Index and Data Broadcasting for Mobile Nearest Neighbor Query Processing

    Page(s): 1964 - 1974
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1422 KB) |  | HTML iconHTML  

    This paper introduces a novel clustering-based broadcast scheduling technique for mobile nearest-neighbor (NN) query processing in cyber physical systems. An efficient index structure is presented to guide mobile clients to the NN-objects. The proposed broadcast scheduling and indexing is aimed at minimizing query access time and energy consumption of the clients when retrieving NN-objects through wireless channels. We have experimentally studied the proposed scheme and its comparison with the state-of-the-art methods. The results suggest the efficacy of our proposed approach in offering minimum latency and energy consumption, which is critically important especially for resource-constrained wireless environments. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Probabilistic Model to Predict the Survivability of SCADA Systems

    Page(s): 1975 - 1985
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1255 KB) |  | HTML iconHTML  

    Recent spate of cyber attacks against critical infrastructure systems, which are vital to society, have shown that in addition to be infeasible to stop every possible attack it is imperative to keep such systems running. Survivability models and tools are good to evaluate system's capacity to handling undesired events. Current survivability measurement techniques are limited, since they only use performance to model system behavior, and do not take into account service interdependencies. This paper introduces a probabilistic model that offers a new direction in measuring survivability. The proposed model solves the issues with current models by combining the formalism of Bayesian networks with information diversity. Service interdependencies are properly taken into account and the information diversity metric is used to represent service behavior. In addition, the model is evaluated through a simulation of a SCADA system, where the entire process to construct and to use the model is detailed. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Intelligent Optimal Recurrent Wavelet Elman Neural Network Control System for Permanent-Magnet Synchronous Motor Servo Drive

    Page(s): 1986 - 2003
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4905 KB) |  | HTML iconHTML  

    In this paper, an intelligent control system using recurrent wavelet-based Elman neural network (RWENN) for position control of permanent-magnet synchronous motor (PMSM) servo drive is proposed to achieve high precision tracking performance and to deal with the existence of uncertainties. The proposed intelligent optimal RWENN control system (IORWENNCS) incorporating an optimal controller, a RWENN controller and a robust controller. Based on the principle of optimal control, a position tracking controller is designed to minimize a quadratic performance index. In addition, a RWENN controller with accurate approximation capability is used to approximate a nonlinear function in the optimal control law. Moreover, a robust controller with adaptive bound estimation algorithm is proposed to confront the approximation error. The online adaptive control laws are derived based on the optimal control technique and Lyapunov stability analysis, so that the stability of the IORWENNCS can be guaranteed. Using the proposed control scheme, the position tracking performance is substantially improved and the robustness to uncertainties can be obtained as well. All control algorithms are implemented in a TMS320C31 DSP-based control computer. The simulation and experimental results confirm that the proposed IORWENNCS grants robust performance and precise tracking response regardless of load disturbances and PMSM uncertainties. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Novel Anonymous Authentication Scheme Using Smart Cards

    Page(s): 2004 - 2013
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2287 KB) |  | HTML iconHTML  

    Smart card based authentication scheme has been widely utilized for various transaction-oriented services such as electronic currency exchange, social insurance payment and e-commerce payment charge in modern society. How to develop a smart card based authentication scheme to support initiator untraceability and defend against major security threats for a transaction service user has become a crucial topic for researchers. Recent efforts for developing anonymous authentication scheme with smart card have failed to provide initiator untraceability for user or been vulnerable to some security attacks. This paper first presents a security model for anonymous authentication and then proposes a new anonymous authentication scheme using smart card. Security robustness of the proposed scheme is constructed by one-way hash function and elliptic curve cryptosystem. Our security analysis shows that the proposed scheme achieves general security requirement and offers initiator untraceability for user without requiring database support. Performance analysis on communication overhead and computation cost shows that the proposed scheme has better or similar efficiency in comparison with other existing smart card based authentication schemes. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Differential Geometry-Based Adaptive Nonlinear Control Law: Application to an Industrial Refinery Process

    Page(s): 2014 - 2022
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1738 KB) |  | HTML iconHTML  

    In this contribution, an extended generic model control (EGMC) law is proposed based on differential geometry theory. This multivariable nonlinear control system requires the knowledge of the internal state of the process. To cope with this, an adaptive control scheme is formulated here. This adaptive nonlinear control law combines the EGMC with the Luenberger-type nonlinear state estimator (LNSE). Deriving the control law and the state estimator, the stability properties of the EGMC, LNSE and the combined EGMC-LNSE structure are developed. The application and performance of the proposed adaptive EGMC-LNSE control law are finally illustrated by a simulated industrial refinery process (i.e., debutanizer). The representative column has 169 state variables, and it was operated in the province of Alberta, Canada. It is surprising to note that the LNSE scheme aims to estimate a few states that are solely required for the controller based on only two component balance equations. As a consequence, there exists a significant structural discrepancy and despite it, the proposed nonlinear controller shows its superiority over the multivariable dynamic matrix controller. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System

    Page(s): 2023 - 2033
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1895 KB) |  | HTML iconHTML  

    In order to realize the full-scale sharing, free circulation and transaction, and on-demand-use of manufacturing resource and capabilities in modern enterprise systems (ES), Cloud manufacturing (CMfg) as a new service-oriented manufacturing paradigm has been proposed recently. Compared with cloud computing, the services that are managed in CMfg include not only computational and software resource and capability service, but also various manufacturing resources and capability service. These various dynamic services make ES more powerful and to be a higher-level extension of traditional services. Thus, as a key issue for the implementation of CMfg-based ES, service composition optimal-selection (SCOS) is becoming very important. SCOS is a typical NP-hard problem with the characteristics of dynamic and uncertainty. Solving large scale SCOS problem with numerous constraints in CMfg by using the traditional methods might be inefficient. To overcome this shortcoming, the formulation of SCOS in CMfg with multiple objectives and constraints is investigated first, and then a novel parallel intelligent algorithm, namely full connection based parallel adaptive chaos optimization with reflex migration (FC-PACO-RM) is developed. In the algorithm, roulette wheel selection and adaptive chaos optimization are introduced for search purpose, while full-connection parallelization in island model and new reflex migration way are also developed for efficient decision. To validate the performance of FC-PACO-RM, comparisons with 3 serial algorithms and 7 typical parallel methods are conducted in three typical cases. The results demonstrate the effectiveness of the proposed method for addressing complex SCOS in CMfg. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Efficient Protocols for Secure Broadcast in Controller Area Networks

    Page(s): 2034 - 2042
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1224 KB) |  | HTML iconHTML  

    Controller Area Network is a bus commonly used by controllers inside vehicles and in various industrial control applications. In the past controllers were assumed to operate in secure perimeters, but today these environments are well connected to the outside world and recent incidents showed them extremely vulnerable to cyber-attacks. To withstand such threats, one can implement security in the application layer of CAN. Here we design, refine and implement a broadcast authentication protocol based on the well known paradigm of using key-chains and time synchronization, a commonly used mechanism in wireless sensor networks, which allows us to take advantage from the use of symmetric primitives without the need of secret shared keys during broadcast. But, as process control is a time critical operation we make several refinements in order to improve on the authentication delay. For this we study several trade-offs to alleviate shortcomings on computational speed, memory and bandwidth up to the point of using reduced versions of hash functions that can assure ad hoc security. To prove the efficiency of the protocol we provide experimental results on two representative microcontrollers from the market: a Freescale S12X and an Infineon TriCore, both devices were specifically chosen as they are located somewhat on the extremes of computational power. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Recognition of Grasping Motion Based on Modal Space Haptic Information Using DP Pattern-Matching Algorithm

    Page(s): 2043 - 2051
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1873 KB) |  | HTML iconHTML  

    Human motion recognition systems play an important role in improving the ability of robots to support human life. This paper proposes a novel motion recognition method based on haptic data (i.e., position and force information). First, haptic data are obtained using a bilateral control system. Second, the haptic data are divided into action components, using modal transformation. Finally, both the position and the force information in each action component are compared with recorded data. A dynamic programming pattern-matching algorithm is used to recognize the desired motion, and the validity of the proposed method is verified experimentally. In the experiments, the proposed method is applied to a grasping motion. The proposed method can trigger scaled bilateral control and assist the operator in real time. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

Aims & Scope

Knowledge in the IST (Information Society Technologies) field envisions a technology bifurcation in the field of intelligent automation systems and real-time middle-ware technologies in the next 5-10 years. The scope of the journal considers the industry’s transition towards more knowledge-based production and systems organization and considers production from a more holistic perspective, encompassing not only hardware and software, but also people and the way in which they learn and share knowledge. The journal focuses on the following main topics: Flexible, collaborative factory automation, Distributed industrial control and computing paradigms, Internet-based monitoring and control systems, Real-time control software for industrial processes, Java and Jini in industrial environments, Control of wireless sensors and actuators, Systems interoperability and human machine interface.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Kim F. Man
City University of Hong Kong