Conferences related to Automatic Identification

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2012 5th International Congress on Image and Signal Processing (CISP)

CISP is a premier international forum for scientists and researchers to present the state of the art of image and signal processing. Specific topics include Image restoration, Pattern recognition, Remote sensing, filters, Signal modeling, etc.

  • 2011 4th International Congress on Image and Signal Processing (CISP)

    CISP 11 is a premier international forum for scientists and researchers to present the state of the art of image and signal processing. Specific topics include Image restoration, Feature extraction, Image and video databases, Pattern recognition, Remote sensing, Filter design & digital filters, Signal modeling, identification & prediction, etc.

  • 2010 3rd International Congress on Image and Signal Processing (CISP)

    CISP 10 is a premier international forum for scientists and researchers to present the state of the art of multimedia and signal processing. It is co-located with the 3rd International Conference on BioMedical Engineering and Informatics (BMEI 2010) to promote interactions biomedical research and signal processing.

  • 2009 2nd International Congress on Image and Signal Processing (CISP)

    biomedical engineering, biomedical informatics, multimedia, and signal processing


2012 IEEE Spoken Language Technology Workshop (SLT 2012)

The goal of the SLT workshop is to bring the speech and language communities together to discuss and present advances and challenges in the area of spoken language processing.


MILCOM 2012 - 2012 IEEE Military Communications Conference

MILCOM 2012 gives industry the opportunity to promote communications technologies and services to commanders from all branches of the armed forces, Department of Defense, federal government, and the heads of multi-national forces from around the globe.


2011 IEEE International Symposium on Technology and Society (ISTAS)

ISTAS is an annual international forum sponsored by the IEEE Society on Social Implications of Technology. ISTAS 2011 is co-sponsored by the ACM Special Interest Group on Computers and Society. ISTAS welcomes engineers; scientists; philosophers; researchers in social sciences, arts, law, and humanities; and policy experts in technology and society.

  • 2010 IEEE International Symposium on Technology and Society (ISTAS)

    Social Implications of Emerging Technologies

  • 2009 IEEE International Symposium on Technology and Society (ISTAS)

    The IEEE International Symposium on Technology and Society (ISTAS) is an annual international forum exploring the social implications of technology. ISTAS 09 will be held concurrently with the IEEE International Symposium on Sustainable Systems and Technology (ISSST), with joint sessions related to an overall conference theme of sustainability.


2007 IEEE Workshop on Automatic Identification Advanced Technologies (Auto ID)

This workshop brings together researchers, developers, and users of automatic identification technologies including: Biometrics Bar Code Systems and other Symbologies Radio Frequency Identification (RFID) and other visual identification technologies. These AutoID fields are at an exciting time in their evolution. Novel research developements are being made at a high rate and these are being implemented into commerical systems.



Periodicals related to Automatic Identification

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


Sensors Journal, IEEE

The Field of Interest of the IEEE Sensors Journal is the science and applications of sensing phenomena, including theory, design, and application of devices for sensing and transducing physical, chemical, and biological phenomena. The emphasis is on the electronics, physics, biology, and intelligence aspects of sensors and integrated sensor-actuators. (IEEE Guide for Authors) (The fields of interest of the IEEE ...


Systems Journal, IEEE

This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance.



Most published Xplore authors for Automatic Identification

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Xplore Articles related to Automatic Identification

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Software changes in factory automation: Towards automatic change based regression testing

Sebastian Ulewicz; Daniel Schütz; Birgit Vogel-Heuser IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 2014

Changes of software in factory automation are frequent and resource-consuming in quality assurance when proving compliance with functional specifications. Automated testing can help minimizing required resources for software engineering. However, changes in the software cause a need for re-evaluating functionality through tests. To reduce resource consumption, existing relevant tests can be re-executed after ensuring their compatibility with the software after ...


Construction of an abdominal probabilistic atlas and its application in segmentation

Hyunjin Park; P. H. Bland; C. R. Meyer IEEE Transactions on Medical Imaging, 2003

There have been significant efforts to build a probabilistic atlas of the brain and to use it for many common applications, such as segmentation and registration. Though the work related to brain atlases can be applied to nonbrain organs, less attention has been paid to actually building an atlas for organs other than the brain. Motivated by the automatic identification ...


Audio-visual person recognition: an evaluation of data fusion strategies

C. C. Chibelushi; F. Deravi; J. S. Mason European Conference on Security and Detection, 1997. ECOS 97., 1997

Audio-visual person recognition promises higher recognition accuracy than recognition in either domain in isolation. To reach this goal, special attention should be given to the strategies for combining the acoustic and visual sensory modalities. The paper presents a comparative assessment of three decision level data fusion techniques for person identification. Under mismatched training and test noise conditions, Bayesian inference and ...


Compact patch antenna for Automatic Identification System (AIS)

Thierry Dousset; Christian Renard; Hubert Diez; Julien Sarrazin; Anne Claire Lepage 2012 15 International Symposium on Antenna Technology and Applied Electromagnetics, 2012

This paper presents a radiating element developed for the space AIS application. This element is a compact sized and reduced mass microstrip patch antenna integrating frequency resonant adjustment devices. Theoretical and experimental results with good agreement are presented.


A real-time driver identification system based on artificial neural networks and cepstral analysis

Ines del Campo; Raul Finker; M Victoria Martinez; Javier Echanobe; Faiyaz Doctor 2014 International Joint Conference on Neural Networks (IJCNN), 2014

The availability of advanced driver assistance systems (ADAS), for safety and well-being, is becoming increasingly important for avoiding traffic accidents caused by fatigue, stress, or distractions. For this reason, automatic identification of a driver from among a group of various drivers (i.e. real- time driver identification) is a key factor in the development of ADAS, mainly when the driver's comfort ...


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Educational Resources on Automatic Identification

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eLearning

Software changes in factory automation: Towards automatic change based regression testing

Sebastian Ulewicz; Daniel Schütz; Birgit Vogel-Heuser IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 2014

Changes of software in factory automation are frequent and resource-consuming in quality assurance when proving compliance with functional specifications. Automated testing can help minimizing required resources for software engineering. However, changes in the software cause a need for re-evaluating functionality through tests. To reduce resource consumption, existing relevant tests can be re-executed after ensuring their compatibility with the software after ...


Construction of an abdominal probabilistic atlas and its application in segmentation

Hyunjin Park; P. H. Bland; C. R. Meyer IEEE Transactions on Medical Imaging, 2003

There have been significant efforts to build a probabilistic atlas of the brain and to use it for many common applications, such as segmentation and registration. Though the work related to brain atlases can be applied to nonbrain organs, less attention has been paid to actually building an atlas for organs other than the brain. Motivated by the automatic identification ...


Audio-visual person recognition: an evaluation of data fusion strategies

C. C. Chibelushi; F. Deravi; J. S. Mason European Conference on Security and Detection, 1997. ECOS 97., 1997

Audio-visual person recognition promises higher recognition accuracy than recognition in either domain in isolation. To reach this goal, special attention should be given to the strategies for combining the acoustic and visual sensory modalities. The paper presents a comparative assessment of three decision level data fusion techniques for person identification. Under mismatched training and test noise conditions, Bayesian inference and ...


Compact patch antenna for Automatic Identification System (AIS)

Thierry Dousset; Christian Renard; Hubert Diez; Julien Sarrazin; Anne Claire Lepage 2012 15 International Symposium on Antenna Technology and Applied Electromagnetics, 2012

This paper presents a radiating element developed for the space AIS application. This element is a compact sized and reduced mass microstrip patch antenna integrating frequency resonant adjustment devices. Theoretical and experimental results with good agreement are presented.


A real-time driver identification system based on artificial neural networks and cepstral analysis

Ines del Campo; Raul Finker; M Victoria Martinez; Javier Echanobe; Faiyaz Doctor 2014 International Joint Conference on Neural Networks (IJCNN), 2014

The availability of advanced driver assistance systems (ADAS), for safety and well-being, is becoming increasingly important for avoiding traffic accidents caused by fatigue, stress, or distractions. For this reason, automatic identification of a driver from among a group of various drivers (i.e. real- time driver identification) is a key factor in the development of ADAS, mainly when the driver's comfort ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Automatic Identification"

IEEE-USA E-Books

  • WinRFID: A Middleware for the Enablement of Radiofrequency Identification (RFID)Based Applications

    Radio Frequency Identification (RFID) middleware is a new class of software which facilitates data and information communication between automatic identification physical layer and enterprise applications. It provides a distributed environment to process the data from tags read by the readers, translates the data where necessary, and routes it to a variety of backend applications using suitable technologies such as Web, Remote and Windows Services. This paper reports different challenges and the corresponding research approach in developing a RFID middleware to provide a seamless environment from the edge of the enterprise network; moving data from the point of transaction to the enterprise systems. Key features of the RFID middleware architecture are encapsulation of communication details, large- scale network management, intelligent data processing and routing, hardware and software interoperability, system integration and system extendibility. To deal with high volume data, WinRFID middleware is supported by novel algorithms and data representation schemes capable of processing large amounts of data, rectifying errors in real-time, identifying patterns, correlating events, reorganizing and scrubbing data and recovering from faults and exceptions. Interoperability involves simultaneous distributed working of receivers/readers and transponders/tags at different frequencies using different protocols, with read/write capabilities, different read rates, and other characteristics as a layer transparent to the applications. Network management involves deployment, initialization and control of receivers and transponders, which can be organized into a hierarchical structure with operational syntax and semantics attached to each or a group of receivers, transponders and concentrators or even the edge computers.

  • Analyzing Gene Expression Imaging Data in Developmental Biology

    This chapter describes the application of data-intensive methods to the automatic identification and annotation of gene expression patterns in the mouse embryo. The first section of the chapter introduces ideas behind modern computational and systems biology, how the explosion of data in the postgenomic world has led to new possibilities and even greater challenges. The second section talks about the particular computational biology problem and describes annotating images of gene expression with the right anatomical terms in depth. An automated solution based on data-intensive methods is discussed the third section. The final section looks ahead to the biological significance and systems biology application of these approaches and also describes a large-scale challenge and possible series of experiments with a novel data-intensive computational architecture.

  • No title

    This lecture provides an introduction to Radio Frequency Identification (RFID), a technology enabling automatic identification of objects at a distance without requiring line-of-sight. Electronic tagging can be divided into technologies that have a power source (active tags), and those that are powered by the tag interrogation signal (passive tags); the focus here is on passive tags. An overview of the principles of the technology divides passive tags into devices that use either near field or far field coupling to communicate with a tag reader. The strengths and weaknesses of the approaches are considered, along with the standards that have been put in place by ISO and EPCGlobal to promote interoperability and the ubiquitous adoption of the technology. A section of the lecture has been dedicated to the principles of reading co-located tags, as this represents a significant challenge for a technology that may one day be able to automatically identify all of the items in your shopping art in a just few seconds. In fact, RFID applications are already quite extensive and this lecture classifies the primary uses. Some variants of modern RFID can also be integrated with sensors enabling the technology to be extended to measure parameters in the local environment, such as temperature & pressure. The uses and applications of RFID sensors are further described and classified. Later we examine important lessons surrounding the deployment of RFID for the Wal-Mart and the Metro AG store experiences, along with deployments in some more exploratory settings. Extensions of RFID that make use of read/write memory integrated with the tag are also discussed, in particular looking at novel near term opportunities. Privacy and social implications surrounding the use of RFID inspire recurring debates whenever there is discussion of large scale deployment; we examine the pros and cons of the issues and approaches for mitigating the problems. Finally, the remaining challenges of R ID are considered and we look to the future possibilities for the technology. Table of Contents: Introduction / Principles of Radio Frequency Identification / RFID Industry Standards / Reading Collected RFID Tags / Applications of RFID Tagging / RFID Incorporating Sensing / Deployment and Experience with RFID Systems / Privacy, Kill Switches, and Blocker Tags / Opportunities for RFID Integrated with Memory / Challenges, Future Technology, and Conclusion



Standards related to Automatic Identification

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No standards are currently tagged "Automatic Identification"