Conferences related to Military Sensor Systems

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


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 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


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Periodicals related to Military Sensor Systems

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


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 Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...


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.


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


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Most published Xplore authors for Military Sensor Systems

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Xplore Articles related to Military Sensor Systems

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Object-oriented simulation in a concurrent multi-user environment

IEE Colloquium on Object-Oriented Simulation and Control, 1991

The Battlefield Sensor Simulator (BSS) system, built at RSRE Malvern, provides for the modelling and performance evaluation of new and proposed military sensor systems. Both sensor tasking and sensor mixes may be tested interactively. The BSS system covers a battlefield area of up to 50000 square kilometres and can simulate the movement of up to 100000 targets in real time. ...


IEE Colloquium on 'Object-Oriented Simulation and Control' (Digest No.057)

IEE Colloquium on Object-Oriented Simulation and Control, 1991

None


The convergence of microwave photonic and optical wireless systems with military communication and sensor systems

2016 IEEE Photonics Conference (IPC), 2016

Photonic systems are being deployed today using advances in fiber communications and the convergence of optical-wireless. This talk explores extending this convergence to our military's communications & sensor systems through the development of photonic-based coherent frequency converting technologies operating throughout the RF and millimeter wave spectrum.


Waveform diversity in multistatic radar

2006 International Waveform Diversity & Design Conference, 2006

Future military sensor systems will contain intelligent software that will dynamically assess a scenario and modify its emissions and its receiver's signal and data processing to enhance performance. This capability is of particular interest in multistatic radar situations. Multiple receivers and one transmitter configuration is presented where the weights for fusing multiple receivers are addressed. By choosing the proper waveforms ...


Waveform diversity and sensors as robots in advanced military systems

2004 International Waveform Diversity & Design Conference, 2004

Future military sensor systems will contain intelligent software that will dynamically assess a scenario and modify its emissions and its receiver's signal and data processing to enhance performance. This capability is needed in multistatic radar situations. A multistatic radar ambiguity function is derived as a performance measure. The bistatic triangle should be taken into account when assigning weights for fusing ...



Educational Resources on Military Sensor Systems

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IEEE-USA E-Books

  • Object-oriented simulation in a concurrent multi-user environment

    The Battlefield Sensor Simulator (BSS) system, built at RSRE Malvern, provides for the modelling and performance evaluation of new and proposed military sensor systems. Both sensor tasking and sensor mixes may be tested interactively. The BSS system covers a battlefield area of up to 50000 square kilometres and can simulate the movement of up to 100000 targets in real time. The architecture of the BSS consists of a centralised computing facility which models battlefield terrain, culture and scenarios together with a collection of client computers which model battlefield sensors. The authors discuss the object-oriented framework which is constituted by a collection of objects known as the Generic Object Set (GOS). The object-oriented framework is written in the programming language Simogen which is an object based version of C. In Simogen, objects have state variables and procedural responses. An important feature of the BSS system is that it can support concurrent sensor models running on different client computers. In the future this will form a basis from which the data fusion of different sensor systems may be modelled.<<ETX>>

  • IEE Colloquium on 'Object-Oriented Simulation and Control' (Digest No.057)

    None

  • The convergence of microwave photonic and optical wireless systems with military communication and sensor systems

    Photonic systems are being deployed today using advances in fiber communications and the convergence of optical-wireless. This talk explores extending this convergence to our military's communications &amp; sensor systems through the development of photonic-based coherent frequency converting technologies operating throughout the RF and millimeter wave spectrum.

  • Waveform diversity in multistatic radar

    Future military sensor systems will contain intelligent software that will dynamically assess a scenario and modify its emissions and its receiver's signal and data processing to enhance performance. This capability is of particular interest in multistatic radar situations. Multiple receivers and one transmitter configuration is presented where the weights for fusing multiple receivers are addressed. By choosing the proper waveforms and their parameters the distortion experienced with difficult multiple triangles may be neutralized. A multistatic radar ambiguity function is developed and used to assess performance for varying configurations. Simulations are performed demonstrating how rules will be developed for choosing the proper waveforms for use in an autonomous intelligent radar system (AIRS).

  • Waveform diversity and sensors as robots in advanced military systems

    Future military sensor systems will contain intelligent software that will dynamically assess a scenario and modify its emissions and its receiver's signal and data processing to enhance performance. This capability is needed in multistatic radar situations. A multistatic radar ambiguity function is derived as a performance measure. The bistatic triangle should be taken into account when assigning weights for fusing the results of multiple receivers. By choosing the proper waveforms and their parameters the distortion experienced with difficult bistatic triangles may be neutralized. A simulation and experiment will be performed to develop the necessary rules choosing the proper waveforms for use in a sensors as robots proof of concept demonstration.



Standards related to Military Sensor Systems

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No standards are currently tagged "Military Sensor Systems"


Jobs related to Military Sensor Systems

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