Conferences related to Intelligent Automation

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

ETFA focus is on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to exchange ideas with both industry leaders and a variety of experienced researchers, developers, and practitioners from several industries, research institutes, and academia


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE 18th International Conference on Industrial Informatics (INDIN)

INDIN focuses on recent developments, deployments, technology trends, and research results in Industrial Informatics-related fields from both industry and academia


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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Periodicals related to Intelligent Automation

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Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


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Most published Xplore authors for Intelligent Automation

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Xplore Articles related to Intelligent Automation

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IEE Colloquium on 'Intelligent Automation for Processing Non-Rigid Products' (Digest No.1994/191)

IEE Colloquium on Intelligent Automation for Processing Non-Rigid Products, 1994

None


Applying a disparate network of models for complex airspace problems

2016 Winter Simulation Conference (WSC), 2016

Modeling and simulation in the aviation community is characterized by specialized models built to solve specific problems. Some models are statistically-based, relying on averages and distribution functions using Monte-Carlo techniques to answer policy questions. Others are physics-based, relying on differential equations describing such phenomena as the physics of flight, communication errors and frequency congestion, noise production, atmospheric wake generation, and ...


How does the IEC61499 architecture fit the requirements of intelligent automation systems?

2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004, 2004

This paper attempts to illustrate the development of software for intelligent automation systems using the reference architecture of new international standard IEC61499. In particular, it is shown how to encapsulate the code that determines the agent-based behavior of autonomous automated machines into IEC61499 function blocks and how to connect the corresponding software capsules to each other via the underlying communication ...


Toward Adaptive and Intelligent Electroadhesives for Robotic Material Handling

IEEE Robotics and Automation Letters, 2017

An autonomous, adaptive, and intelligent electroadhesive material handling system has been presented in this paper. The system has been proposed and defined based on the identification of a system need through a comprehensive literature review and laboratory-based experimental tests. The proof of the proposed concept has been implemented by a low cost and novel electroadhesive pad design and manufacture process, ...


IEC 61499 as Enabler of Distributed and Intelligent Automation: State-of-the-Art Review

IEEE Transactions on Industrial Informatics, 2011

This review paper discusses the industrial and research activities around the IEC 61499 architecture for distributed automation systems. IEC 61499 has been developed to enable intelligent automation where the intelligence is genuinely decentralized and embedded into software components, which can be freely distributed across networked devices. With the recent emergence of professionally made software tools and dozens of hardware platforms, ...


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Educational Resources on Intelligent Automation

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IEEE-USA E-Books

  • IEE Colloquium on 'Intelligent Automation for Processing Non-Rigid Products' (Digest No.1994/191)

    None

  • Applying a disparate network of models for complex airspace problems

    Modeling and simulation in the aviation community is characterized by specialized models built to solve specific problems. Some models are statistically-based, relying on averages and distribution functions using Monte-Carlo techniques to answer policy questions. Others are physics-based, relying on differential equations describing such phenomena as the physics of flight, communication errors and frequency congestion, noise production, atmospheric wake generation, and other phenomena to provide detailed insight into study questions. Several years ago, researchers at Intelligent Automation, Incorporated (IAI) recognized that many of the physics-based aviation models, while conceptually similar, were difficult to interoperate because of varying assumptions regarding particular aspects of flight dynamics. Despite this difficulty, the aviation community routinely use these diverse physics-based models for a single coherent study. IAI researchers have since constructed an automated method for interoperating these models in a manner that produces consistent, coherent, and comparable results even with computations that otherwise use different assumptions.

  • How does the IEC61499 architecture fit the requirements of intelligent automation systems?

    This paper attempts to illustrate the development of software for intelligent automation systems using the reference architecture of new international standard IEC61499. In particular, it is shown how to encapsulate the code that determines the agent-based behavior of autonomous automated machines into IEC61499 function blocks and how to connect the corresponding software capsules to each other via the underlying communication media

  • Toward Adaptive and Intelligent Electroadhesives for Robotic Material Handling

    An autonomous, adaptive, and intelligent electroadhesive material handling system has been presented in this paper. The system has been proposed and defined based on the identification of a system need through a comprehensive literature review and laboratory-based experimental tests. The proof of the proposed concept has been implemented by a low cost and novel electroadhesive pad design and manufacture process, and a mechatronic and reconfigurable platform, where force, humidity, and capacitive sensors have been employed. This provides a solution to an autonomous elelctroadhesive material handling system that is environmentally and substrate material adaptive. The results have shown that the minimum voltage can be applied to robustly grasp different materials under different environment conditions. The proposed system is particularly useful for pick-and-place applications where various types of materials and changing environments exist such as robotic material handling applications in the textile and waste recycling industry.

  • IEC 61499 as Enabler of Distributed and Intelligent Automation: State-of-the-Art Review

    This review paper discusses the industrial and research activities around the IEC 61499 architecture for distributed automation systems. IEC 61499 has been developed to enable intelligent automation where the intelligence is genuinely decentralized and embedded into software components, which can be freely distributed across networked devices. With the recent emergence of professionally made software tools and dozens of hardware platforms, IEC 61499 is getting recognition in industry. This paper reviews research results related to the design of distributed automation systems with IEC 61499, the supporting tools and the aspects related to the execution of IEC 61499 on embedded devices. The promising application areas of IEC 61499 include flexible material handling systems, in particular airport baggage handling, flexible reconfigurable manufacturing automation, intelligent power distribution networks and SmartGrid, as well as the wide range of embedded networked systems.

  • Electroencephalogram Emotion Recognition Based on Empirical Mode Decomposition and Optimal Feature Selection

    Electroencephalogram (EEG) emotion recognition based on a hybrid feature extraction method in Empirical Mode Decomposition (EMD) domain combining with optimal feature selection based on Sequence Backward Selection (SBS) is proposed, which can reflect subtle information of multi-scale components of unstable and non-linear EEG signals and remove the reductant features to improve the performance of emotion recognition. The proposal is tested on DEAP dataset, in which the emotional states in the Valance dimension and Arousal dimension are classified by both K-nearest neighbor (KNN) and support vector machine (SVM), respectively. In the experiments, temporal windows of different length and three kinds of rhythms of EEG signal are taken into account for comparison, from which the results show that EEG signal with 1s temporal window achieves highest recognition accuracy of 86.46% in Valence dimension and 84.90% in Arousal dimension, respectively, which is superior to some state-of-the-art works. The proposed method would be applied to real-time emotion recognition in multimodal emotional communication based humans-robots interaction system.

  • Feature extraction and tracking of a weld joint for adaptive robotic welding

    Recent advances in automation and sensor technology have enabled the use of industrial robots for complex tasks that require intelligent decision making. Vision sensors have been the most successfully used sensor in many high value industrial applications. Over the recent years, weld seam tracking has been a topic of interest, as most of the existing robotic welding systems operate on basis of pre-programmed instructions. Such automated systems are incapable of adapting to unexpected variations in the seam trajectory or part fit-up. Applications such as tungsten inert gas (TIG) welding of aerospace components require high tolerances and needs intelligent decision making. Such decision making procedure has to be based on the weld groove geometry at any instance. In this study, a novel algorithm along with an automated system was developed for estimating the joint profile and path tracking of a three dimensional (3D) weld groove. A real-time position based closed-loop system was developed with a six axis industrial robot and a laser triangulation based sensor. The system was capable of finding the 3D weld joint profile and position in real-time, and make intelligent decisions accordingly. Raw data from a vision sensor was processed through a novel algorithm to obtain X and Z co-ordinates at an accuracy of 8.3μm and 43μm respectively at an acquisition speed of 2.5 profiles per second. The algorithm was also capable of measuring the weld gaps with an accuracy of 28μm. Finally, the developed system was successfully used for three dimensional seam tracking, and demonstrates an accuracy of ±0.5mm at a tracking a speed of 2mm/s.

  • A facial expression emotion recognition based human-robot interaction system

    A facial expression emotion recognition based human-robot interaction (FEER- HRI) system is proposed, for which a four-layer system framework is designed. The FEER-HRI system enables the robots not only to recognize human emotions, but also to generate facial expression for adapting to human emotions. A facial emotion recognition method based on 2D-Gabor, uniform local binary pattern (LBP) operator, and multiclass extreme learning machine (ELM) classifier is presented, which is applied to real-time facial expression recognition for robots. Facial expressions of robots are represented by simple cartoon symbols and displayed by a LED screen equipped in the robots, which can be easily understood by human. Four scenarios, i.e., guiding, entertainment, home service and scene simulation are performed in the human- robot interaction experiment, in which smooth communication is realized by facial expression recognition of humans and facial expression generation of robots within 2 seconds. As a few prospective applications, the FEER-HRI system can be applied in home service, smart home, safe driving, and so on.

  • Intelligent automation model for BF ironmaking process

    To realize intelligent automatic control of BF ironmaking process, automation groundwork and transmission of information by net were summarized, and some mathematical models were established based on intelligent control theory, including BF ironmaking process multi-object program model, intelligent prediction model and intelligent control partial differential equation of temperature in BF. After the expert system developed on those models used on No.1 BF at Laiwu Iron and Steel Group Co., the BF ironmaking process was optimized, the temperature in BF was precisely predicted online, process control parameters self-adjusted to make the temperature in BF trend to the best. The BF runs smoothly.

  • Possibilities for intelligent automation in product definition

    During the past decade, engineering moved into virtual spaces in the leading industries and product model became a medium between communicating engineers. This change motivated the authors of this paper to make a development on currently prevailing product representations where human intent, engineering objective are not included in product models. Lack of this decision background information makes understanding and evaluation of earlier decisions difficult at application of product model. There are questions those can not be answered using product model. At the same time, there is a definite tendency to develop product model into the only product information carrier. As a possible solution, the authors proposed an extension to the currently applied product modeling in the form of information content modeling. The objective is recording a background description for decisions on objects in product model. In this paper, first the proposed extension is explained considering the contextual nature of product definition. Following this, preliminaries and related research are discussed. Next, the extended model is introduced as a set of contextual content spaces. Finally, some words are devoted for the possibilities of implementation of the proposed method in professional product lifecycle management (PLM) systems.



Standards related to Intelligent Automation

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Jobs related to Intelligent Automation

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