Conferences related to Industrial Electronics Society

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2020 IEEE 21st International Conference on Vacuum Electronics (IVEC)

Technical presentations will range from the fundamental physics of electron emission and modulated electron beams to the design and operation of devices at UHF to THz frequencies, theory and computational tool development, active and passive components, systems, and supporting technologies.System developers will find that IVEC provides a unique snapshot of the current state-of-the-art in vacuum electron devices. These devices continue to provide unmatched power and performance for advanced electromagnetic systems, particularly in the challenging frequency regimes of millimeter-wave and THz electronics.Plenary talks will provide insights into the history, the broad spectrum of fundamental physics, the scientific issues, and the technological applications driving the current directions in vacuum electronics research.


2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


2020 IEEE Industry Applications Society Annual Meeting

The Annual Meeting is a gathering of experts who work and conduct research in the industrial applications of electrical systems.


2020 IEEE International Conference on Industrial Technology (ICIT)

ICIT focuses on industrial and manufacturing applications of electronics, controls, communications, instrumentation, and computational intelligence.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


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Periodicals related to Industrial Electronics Society

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


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Most published Xplore authors for Industrial Electronics Society

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Xplore Articles related to Industrial Electronics Society

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Repetitive Model Predictive Control of a Precision Linear Motor Drive

IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007

In this paper, a repetitive model predictive controller (RMPC) is proposed for tracking control of a linear motor. The proposed algorithm reduces the tracking error caused by the periodic disturbance by including the estimation of the future disturbances in the prediction model. The repetitive tracking error is treated as the consequence of periodic input disturbance, which is learnt over several ...


Adaptive Step-Size Fast Interested Boundary Tracking

IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007

Traditional boundary tracking finds large number of redundant edge points and consumes more time. To resolve these disadvantages, an adaptive step-size boundary tracking algorithm is proposed. The new algorithm estimates possible location of next node and search edge point within extended neighborhood of the estimated node. Moreover, the new method adjusts searching step size according to current boundary curvature to ...


Route Selection for Vehicle Navigation and Control

IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007

This paper presents an application of neural-fuzzy methodology for the problem of route selection in a typical vehicle navigation and control system. The idea of the primary attributes of a route is discussed, and a neural-fuzzy system is developed to help a user to select a route out of the many possible routes from an origin to the destination. The ...


Fuzzy c-means Cluster Image Segmentation with Entropy Constraint

IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007

A Fuzzy c-means (FCM) cluster segmentation algorithm based on entropy constraint has been proposed to resolve problem of time wasting presented in traditional FCM algorithm. The minimum sample ratio under which the sampled image keeps most information of initial image was studied, and the limitation function was deduced. A relative entropy loss constraint based on histogram was introduced to keep ...


Robust Stability Analysis for Uncertain Nonlinear Neural Networks with Time Delay

IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007

The robust stability of time delayed neural networks with uncertain nonlinear perturbation is analyzed based on Lyapunov stability theory. By choosing suitable Lyapunov functionals and using certain matrix transformations, sufficient conditions on robust stability of time delayed neural networks with uncertain nonlinear perturbation are given. The exponential asymptotical stability is investigated for the considered neural networks. All the stable criteria ...


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Educational Resources on Industrial Electronics Society

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IEEE-USA E-Books

  • Repetitive Model Predictive Control of a Precision Linear Motor Drive

    In this paper, a repetitive model predictive controller (RMPC) is proposed for tracking control of a linear motor. The proposed algorithm reduces the tracking error caused by the periodic disturbance by including the estimation of the future disturbances in the prediction model. The repetitive tracking error is treated as the consequence of periodic input disturbance, which is learnt over several trials and is used to improve the tracking accuracy. As compared with the conventional MPC and repetitive control, this algorithm attempts to derive the merits of the two schemes. Some experimental results are presented to demonstrate the effectiveness of the proposed approach.

  • Adaptive Step-Size Fast Interested Boundary Tracking

    Traditional boundary tracking finds large number of redundant edge points and consumes more time. To resolve these disadvantages, an adaptive step-size boundary tracking algorithm is proposed. The new algorithm estimates possible location of next node and search edge point within extended neighborhood of the estimated node. Moreover, the new method adjusts searching step size according to current boundary curvature to make sure the detected points distributed more scientifically. Experiments were performed and the results shown that the new algorithm is better than alterable window reptile method in detected nodes number and processing speed. Compare with alterable window reptile tracking method, nodes distribution of our algorithm is accord with the characteristic of detected boundary and the number of gotten points and searching time is reduced by 95%-96% and 45%-84%. These results suggest that the new algorithm can be used to detect interested contour of large-scale digital image.

  • Route Selection for Vehicle Navigation and Control

    This paper presents an application of neural-fuzzy methodology for the problem of route selection in a typical vehicle navigation and control system. The idea of the primary attributes of a route is discussed, and a neural-fuzzy system is developed to help a user to select a route out of the many possible routes from an origin to the destination. The user may not adopt the recommendation provided by the system and choose an alternate route. One novel feature of the system is that the neural-fuzzy system can adapt itself by changing the weights of the defined fuzzy rules through a training procedure. Two examples are given in this paper to illustrate how the route selection/ranking system can be made adaptive to the past choice or preference of the user.

  • Fuzzy c-means Cluster Image Segmentation with Entropy Constraint

    A Fuzzy c-means (FCM) cluster segmentation algorithm based on entropy constraint has been proposed to resolve problem of time wasting presented in traditional FCM algorithm. The minimum sample ratio under which the sampled image keeps most information of initial image was studied, and the limitation function was deduced. A relative entropy loss constraint based on histogram was introduced to keep sample image out of serious distortion and variable- step searching method was proposed to find out appropriate sample ratio. Experiments of single threshold was preformed and the results showed that the average time consuming of the proposed method is 2.9% of FCM method, 4.8% of 2D entropy method, and 6.6% of Otsu method, and the processing speed of the new method is increased by 10-120 times. The experiment results indicated that the new algorithm improves the processing efficiency of traditional FCM, and of cause can be applied to other kinds of FCM algorithm.

  • Robust Stability Analysis for Uncertain Nonlinear Neural Networks with Time Delay

    The robust stability of time delayed neural networks with uncertain nonlinear perturbation is analyzed based on Lyapunov stability theory. By choosing suitable Lyapunov functionals and using certain matrix transformations, sufficient conditions on robust stability of time delayed neural networks with uncertain nonlinear perturbation are given. The exponential asymptotical stability is investigated for the considered neural networks. All the stable criteria in this paper are presented in terms of linear matrix inequalities.

  • Engineering project management system for large and/or many small projects

    A special software package to manage the engineering staff of a project of 500 technical persons and additional smaller projects totalling an additional 500 engineering persons was put in place at a large defense manufacturer's plant manufacturing military vehicles. The manufacturing art of the project was not originally included in the system. The theory of the management system and the events occurring in the six months prior to and 18 months following introduction of the system are described.<<ETX>>

  • A Novel Multi-Level Three-Phase UPQC Topology based on Full-Bridge Single-Phase Cells

    A novel multi-level three-phase Unified Power Quality Conditioner (UPQC) based on Single-Phase Cells is presented. The topology features all the advantages of multi-cell based configurations. Among them are: (i) the power is divided symmetrically among the cells thus reducing the voltage and current ratings of the components, (ii) under a component failure just its hosting cell is removed allowing the other cells to operate, (iii) the series assembling of the load side converters allows the operation of the topology at any voltage, (iv) the parallel assembling of the PCC side converters allows the operation of the topology at any current, and (v) the unwanted harmonic content frequency of the input and output waveforms is proportional to the number of cells and the enhanced. This work deals with the operating principles based on the state space model of the topology and proposes a control strategy capable of hosting an arbitrary number of cells. Design guidelines are also included for the main components and preliminary stationary and dynamic simulated results are shown to probe the feasibility of the topology.

  • Variable Compliance Mechanism for Human-care Robot Arm

    This paper presents a variable compliance mechanism for a human-care robot arm. In this mechanism, we inserted an elastic plate, which we refer to as a compliance adjuster plate (CAP), between the joint part and the link. Elastic deformation of the CAP enables the robot to generate compliant arm motion in reaction to external force. The compliance can be easily adjusted according to the requirements of given tasks by controlling the posture of the CAP in regard to the link. Furthermore, the strain observed on the CAP can be used to estimate the actual position of the arm-tip which is moved by an external force caused by contact with the environment. We examined the fundamental characteristics and performance of this mechanism through a comparison of theoretical analysis and the results of several experiments.

  • A Fast Motion Estimation Algorithm Based on the Adaptive Reference Frame and the Spatial and Temporal Correlations for H.264

    In the H.264 video encoder, motion estimation (ME) is the most time-consuming component. The multiple reference frame search and the 7 partition modes block-matching are necessary in origin ME algorithm of H.264 and rate- distortion optimization (RDO) must be executed in each reference frame and mode in order to gain the best coding parameter. In this paper, a fast motion estimation algorithm based adaptive reference frame and the spatial and temporal correlations for H.264 is proposed. This algorithm well exploits the video sequence motion trend and the spatial and temporal correlations among the adjacent macro- blocks to decide and select the best reference frame and block matching mode quickly rather than searching in up to 16 reference frames and matching all size modes. The simulation experiment results show that the proposed algorithm save 38.4% ME time and loss only 0.018 db in PSNR than the origin H.264 algorithm with 5 reference frames.

  • Controller Design for a Piezoelectric Wheel System

    This paper develops a DSP-based velocity controller for a novel piezoelectric wheel system named as the Lateral Elliptical Motion Piezoelectric Wheel. A simplified model of the piezoelectric wheel system is presented. With this model, a DSP-based velocity controller is presented to achieve velocity control. Experimental results demonstrate the performance and efficacy of the 2-D velocity control of the piezoelectric wheel system with the proposed control method.



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