Conferences related to Cats

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (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 papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


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.

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

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

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

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

  • 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.

  • 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.

  • 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

  • 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

  • 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.

  • 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.

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

    computer, vision, pattern, cvpr, machine, learning

  • 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.

  • 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.

  • 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.

  • 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.


2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)

To provide a forum for free discussions of new ideas, research, development and applications in order to stimulate and inspire pioneering work in the field of digital avionics and related areas.To acquire high quality technical papers for publication in a DASC Proceedings and other appropriate publications such as the AIAA Journal of Aircraft and IEEE Systems Magazine.To provide a meeting that will further the progress of AIAA and IEEE entities, including Societies, Technical Committees and local Sections and thereby better serve the interests of all AIAA and IEEE members and the community at large.To provide an atmosphere that strengthens the interpersonal rapport of a large number of engineers and scientists interested in specialized and closely related fields.To provide an exhibition of current hardware and software products, methods and tools.To provide instruction in advances in digital avionics and to encourage and reward student academic participation.



Periodicals related to Cats

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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.


Instrumentation & Measurement Magazine, IEEE

Applications-oriented material in the field of instrumentation and measurement.


Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.



Most published Xplore authors for Cats

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Xplore Articles related to Cats

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HSPA Radio Performance

HSPA Performance and Evolution: A practical perspective, None

This chapter contains sections titled:HSDPA Lab Performance EvaluationHSUPA Lab Performance EvaluationField EvaluationOther Performance ConsiderationsSummaryReferences


Moving IPTV Around the House

Next Generation IPTV Services and Technologies, None

This chapter contains sections titled:About Whole Home Media Networking (WHMN)WHMN Enabling TechnologiesFast Ethernet and Gigabit Ethernet (GIGE)802.11nHomePlug AVUPA‐DHSHomePNATM3.1Multimedia Over Coax Alliance (MOCATM)WHMN Middleware Software StandardsQoS and WHMN ApplicationsSummary


Formation and variability of orientation preference maps in visual cortex: an approach based on normalized Gaussian arrays

2005 9th International Workshop on Cellular Neural Networks and Their Applications, 2005

This work explores formation and variability of orientation preference maps in visual cortex based on normalized Gaussian arrays. An orientation preference map, which has been measured to sketch the orientation preference of neighboring neurons in visual cortex, is emulated by a network of weighted normalized Gaussian arrays. Here the orientation preference map is represented by a set of paired data, ...


Characteristics of microwave-induced cochlear microphonics

Radio Science, 1977

Cochlear microphonics (CM) have been recorded from guinea pigs and from cats of differing body mass during irradiation by 918- and by 2450-MHz pulsed microwaves. Both horn applicators and a cylindrical waveguide exposure system were used to radiate the animals. The CM frequency and duration were similar irrespective of carrier frequency and mode of application. Parameters of the CM (except ...


Sequential adaptive tests to improve the assimilation of contents during learning

2018 International Symposium on Computers in Education (SIIE), 2018

In this article we present a system of adaptive tests that show different sets of questions sequentially to students. This system is used to avoid learning strategies where only learning answers in instead of the assimilation and individual reflection of the contents. As a conclusion of this article that parameters such as the number of attempts needed to achieve the ...



Educational Resources on Cats

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Cats"

IEEE-USA E-Books

  • HSPA Radio Performance

    This chapter contains sections titled:HSDPA Lab Performance EvaluationHSUPA Lab Performance EvaluationField EvaluationOther Performance ConsiderationsSummaryReferences

  • Moving IPTV Around the House

    This chapter contains sections titled:About Whole Home Media Networking (WHMN)WHMN Enabling TechnologiesFast Ethernet and Gigabit Ethernet (GIGE)802.11nHomePlug AVUPA‐DHSHomePNATM3.1Multimedia Over Coax Alliance (MOCATM)WHMN Middleware Software StandardsQoS and WHMN ApplicationsSummary

  • Formation and variability of orientation preference maps in visual cortex: an approach based on normalized Gaussian arrays

    This work explores formation and variability of orientation preference maps in visual cortex based on normalized Gaussian arrays. An orientation preference map, which has been measured to sketch the orientation preference of neighboring neurons in visual cortex, is emulated by a network of weighted normalized Gaussian arrays. Here the orientation preference map is represented by a set of paired data, each comprising a relative neuron location and the relevant orientation preference, and the mapping structure from the location on a two-dimensional lattice to the orientation preference is then realized by learning a network of normalized Gaussian arrays subject to the paired data. As a result, varieties of mapping structures of different species are essentially characterized by the array number in a network. For example, the icecube structure can be well emulated by using one Gaussian array, the pinwheels structure, that looks like a superposition of two cross icecubes, can be characterized by a network of two Gaussian arrays, and the salt&pepper structure is simply a result of a null Gaussian array, of which the width of each Gaussian unit is set sufficiently large.

  • Characteristics of microwave-induced cochlear microphonics

    Cochlear microphonics (CM) have been recorded from guinea pigs and from cats of differing body mass during irradiation by 918- and by 2450-MHz pulsed microwaves. Both horn applicators and a cylindrical waveguide exposure system were used to radiate the animals. The CM frequency and duration were similar irrespective of carrier frequency and mode of application. Parameters of the CM (except amplitude) were not influenced by orientation of the body axis to the electrical field or by pulse width of microwaves for pulses less than 30 μsec wide. The frequency of the CM correlated well with the longest dimension of the brain cavity and poorly with several dimensions of the head. Extrapolations of these animal findings to the human being indicates that the frequency of the microwave-induced CM in man should be between 7 and 10 kHz.

  • Sequential adaptive tests to improve the assimilation of contents during learning

    In this article we present a system of adaptive tests that show different sets of questions sequentially to students. This system is used to avoid learning strategies where only learning answers in instead of the assimilation and individual reflection of the contents. As a conclusion of this article that parameters such as the number of attempts needed to achieve the maximum grade or the first grades obtained in each set of questions are relevant factors in order to predict and correct inappropriate methods in the teaching and learning process.

  • Chronic implementation of the flat interface nerve electrode

    The Flat Interface Nerve Electrode (FINE) is a novel peripheral nerve electrode that reshapes the nerve into an ovoid geometry. Compared to cylindrical electrodes, this allows more contacts to be placed around the nerve, and moves deep fibers closer to the neural surface. Acute experiments have previously demonstrated that it is possible to selectively activate groups of fibers within individual fascicles using the FINE. In this study, the ability to achieve subfascicle level selectivity in a chronic setting has been investigated. A FINE was implanted on the right sciatic nerve of 6 cats, and selectivity measurements were made every 2 weeks. Subfascicle level selectivity was attainable throughout the implant period, but only in some of the fascicles tested. It is hoped that refinements in the electrode design may lead to more consistent selectivity across different nerve geometries.

  • Transformation of muscular action into endpoint forces in the hindlimb of the decerebrate cat

    The directions of endpoint forces in the horizontal plane exerted by individual muscles of the feline hindlimb were predicted using a musculoskeletal simulation and investigated by electrical stimulation of muscles in decerebrate cats. The vectorial directions were consistent with commonly accepted muscle attachments. Both approaches supported the hypothesis that distal muscles may play an important role in directing the force vectors in the horizontal plane.

  • Development of a high resolution beta camera for a direct measurement of positron distribution on brain surface

    We have developed and tested a high resolution beta camera for a direct measurement of positron distribution on the brain surface of animals. The beta camera consists of a thin CaF/sub 2/(Eu) scintillator, a tapered fiber optic plate (tapered fiber) and a position sensitive photomultiplier tube (PSPMT). The tapered fiber is the key component of the camera. We have developed two different sizes of beta cameras. One is 20 mm diameter field of view camera for imaging the brain surface of cats. The other is 10 mm diameter camera for that of rats. Spatial resolutions of the beta camera for cats and rats were 0.8 mm FWHM and 0.5 mm FWHM, respectively. We demonstrated that developed beta cameras may overcome the limitation of the spatial resolution of positron emission tomography (PET).

  • Functional control of joint torque with a cuff electrode

    None

  • Estimation of coupling frequency between afferents of primary and secondary endings of single muscle spindles during natural fusimotor activity

    Fusimotor-generated coupling between group Ia and II afferents from single muscle spindles of tenuissimus muscles of cats was assessed by estimating the coherence with a fast Fourier transform (FFT) after applying a cosine waveform. The cosine waveform was formed from each interspike interval in the spike train. The coherence between afferents was investigated when two static /spl gamma/-motoneurones were active. One (/spl gamma/sT) tensed the secondary ending by tonically activating intrafusal fibres at the same pole as the ending. A second /spl gamma/-motoneurone (/spl gamma/sC) caused contractions at the opposite pole to the secondary ending and coupled the sensory output. Estimated coherence between group Ia and II afferents showed a peak at 9.2 Hz. The peak corresponded with a peak of the coherence between group II afferent and /spl gamma/sC activity. However, there was no significant peak in the coherence between group Ia or II afferents and /spl gamma/sT activity. These results suggest that coupling of group Is and II afferents was determined by the group II activity and controlled by the coupling /spl gamma/-motoneurone.



Standards related to Cats

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No standards are currently tagged "Cats"