User-generated content

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User generated content (UGC) covers a range of media content available in a range of modern communications technologies. (Wikipedia.org)






Conferences related to User-generated content

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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.


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 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.


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.


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Periodicals related to User-generated content

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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.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


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 ...


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.


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Most published Xplore authors for User-generated content

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Xplore Articles related to User-generated content

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A new method of automatic gain control for HF and VHF transistor amplifiers

1959 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1959

None


Home-to-home media streaming system based on Adaptive FastReplica

2009 11th International Conference on Advanced Communication Technology, 2009

This paper proposes a home-to-home media streaming system which supports UPnP A/V devices to multicast massive content to several devices in different UPnP- enabled home networks. This system is based on the traffic control mechanism defined in the UPnP QoS architecture and a peer-to-peer distribution scheme. With these schemes, the designed system enables a source UPnP media server to stream ...


Semantics-Empowered Social Computing

IEEE Internet Computing, 2009

In this article, we discuss some of the challenges in marking-up or annotating UGC, a first step toward the realization of the social semantic Web. Using examples from real-world UGC, we show how domain knowledge can effectively complement statistical natural language processing techniques for metadata creation.


Some New Criterions for Stability of Hopfield Type Neural Network Systems Based on Subpositive Definite Matrices

2006 6th World Congress on Intelligent Control and Automation, 2006

Stability of Hopfield type neural network systems is an important research problem, many articles have rather thoroughly researched it, and some new criterions have been established based on M matrix and positive definite matrix or negative definite matrix. In this paper, subpositive definite matrices (subnegative definite matrix) are led into Hopfield type neural network systems, and under relatively weak condition, ...


TurKit: Tools for iterative tasks on mechanical turk

2009 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2009

Mechanical Turk (MTurk) is an increasingly popular web service for paying people small rewards to do human computation tasks. Current uses of MTurk typically post independent parallel tasks. I am exploring an alternative iterative paradigm, in which workers build on or evaluate each other's work. Part of my proposal is a toolkit called TurKit which facilitates deployment of iterative tasks ...


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Educational Resources on User-generated content

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IEEE-USA E-Books

  • A new method of automatic gain control for HF and VHF transistor amplifiers

    None

  • Home-to-home media streaming system based on Adaptive FastReplica

    This paper proposes a home-to-home media streaming system which supports UPnP A/V devices to multicast massive content to several devices in different UPnP- enabled home networks. This system is based on the traffic control mechanism defined in the UPnP QoS architecture and a peer-to-peer distribution scheme. With these schemes, the designed system enables a source UPnP media server to stream high quality content to multiple UPnP renderers in physically separated homes through peer-to-peer overlay paths established between home servers with content distribution and QoS device capability.

  • Semantics-Empowered Social Computing

    In this article, we discuss some of the challenges in marking-up or annotating UGC, a first step toward the realization of the social semantic Web. Using examples from real-world UGC, we show how domain knowledge can effectively complement statistical natural language processing techniques for metadata creation.

  • Some New Criterions for Stability of Hopfield Type Neural Network Systems Based on Subpositive Definite Matrices

    Stability of Hopfield type neural network systems is an important research problem, many articles have rather thoroughly researched it, and some new criterions have been established based on M matrix and positive definite matrix or negative definite matrix. In this paper, subpositive definite matrices (subnegative definite matrix) are led into Hopfield type neural network systems, and under relatively weak condition, another new criterions are acquired

  • TurKit: Tools for iterative tasks on mechanical turk

    Mechanical Turk (MTurk) is an increasingly popular web service for paying people small rewards to do human computation tasks. Current uses of MTurk typically post independent parallel tasks. I am exploring an alternative iterative paradigm, in which workers build on or evaluate each other's work. Part of my proposal is a toolkit called TurKit which facilitates deployment of iterative tasks on MTurk. I want to explore using this technology as a new form of end-user programming, where end-users are writing ldquoprogramsrdquo that are really instructions executed by humans on MTurk.

  • Using SNS as Access Control Mechanism for DLNA Content Sharing System

    The home networking becomes more interesting if users can share high quality contents with friends and colleagues living away from the user. DLNA certified devices allow users to share or access digital media contents on the same home network. However, the sharing of the content is only limited inside local area networks. In this paper, we propose a global content sharing home gateway named DAS (DLNA Agent for SNS). Different from exiting approaches using VPN, DAS enables to share specified contents to selected users with support of access control functionality provided by Social Network web services. As DAS behaves as a DLNA certified server, there is no need to modify commercial DLNA CE devices.

  • Scene change detection algorithm on specific movie

    Scene detection is pretreatment to index video information in video search system, and it is very important technology for overall performance. Existing scene detection used single characteristic of pixel value difference, histogram difference, etc or mixed single characteristics. However, accuracy of those is poor for specific video such as infrared camera, night shooting. This paper is proposed the method that is mixed color histogram and KLT algorithm for scene detection at the specific movie. We did an experiment which used color histogram only and KLT algorithm with color histogram. In result, proposed method is improved about 11.4% at the specific movie.

  • Near-field to far-field transformation using an equivalent current approach

    The equivalent current approach for computing far-fields from measured near fields is presented. In this technique, the radiating antenna is replaced by equivalent currents which reside on a fictitious surface which encompasses the antenna. The measured near-fields are used to determine the equivalent currents. Accurate far-fields over large elevation and azimuthal ranges can be found from measurements on simple surfaces, such as a plane. Numerical results are presented.<<ETX>>

  • Analysis and Visualization of Time Series Data from Consumer-Generated Media and News Archives

    Internet has become an indispensable part of everyday life with millions of people around the globe using it for a wide range of daily activities such as monitoring stock prices, posting blogs, and browsing online newspapers. Though a vast amount of information can be easily searched and obtained in seconds simply by pressing a click with a fingertip, the overflow of information popping up may not be something really relevant to what we need and therefore, it creates a headache to us when it comes to scanning and extracting relevant and useful information. Finding a wise way of extracting only the useful data for further analysis plays a significant role in promoting the efficient and effective use of the internet. In this paper, we present a system which performs the analysis and visualization of the emerging consumer generated media (CGM) posts and online news archives in a more user-friendly way. In order to overcome the heavy time complexity incurred, we would employ an approach to extract only the useful data from the CGM by means of the time series data processing technique, namely, the perceptual important point (PIP). By correlating the sorted out time series data with the online texts, further analysis could be done in a more effective and efficient way. With valuable and easy-to-understand information generated by using the perceptual important point (PIP), many businesses could gain the upper hand in today's competitive world market.

  • SQL Test Suite goes online

    Does your relational database speak SQL fluently? It's easy to find out, because the SQL (Structured Query Language) Test Suite is now free on the Web. SQL is the standard that lets DBMS products from different vendors interoperate. It defines common data structures (tables, columns, views, and so on) and provides a data manipulation language to populate, update, and query those structures. Accessing structured data with SQL is quite different from searching the full text of documents on the Web. Structured data in the relational model means data that can be represented in tables. Each row represents a different item, and the columns represent various attributes of the item. Columns have names and integrity constraints that specify valid values. Because the column values are named and represented in a consistent format, you can select rows precisely, on the basis of their contents. This is especially helpful in dealing with numeric data. You can also join data from different tables on the basis of matching column values. It is possible to do useful types of analysis too, listing items that are in one table and are missing, present, or have specific attributes in a related table. You can extract from a large table precisely those rows of interest, regroup them, and generate simple statistics on them.



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