Conferences related to Kernel

Back to Top

2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications

2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Cyber-physicalSystems, Energy and Environment, Mechatronics, Power Electronics, Signal and InformationProcessing, Network and Communication Technologies

2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU

2018 17th International Conference on Information Technology Based Higher Education and Training (ITHET)

The convergence of current technologies provides the infrastructure for transmitting and storing information faster and cheaper. For information to be used in gaining knowledge, however, environments for collecting, storing, disseminating, sharing and constructing knowledge are needed. Such environments, knowledge media, brings together telecommunication, computer and networking technologies, learning theories and cognitive sciences to form meaningful environments that provides for a variety of learner needs. ITHET 2018 will continue with the traditional themes of previous events. However, our special theme for this year is a fundamental one. We have previously had MOOCs as our special theme, but now they are just infrastructure. Even “Blended Learning” is what we all do anyway. In a time of the unprecedented access to knowledge through IT, it is time for us to revisit the fundamental purpose of our educational system. It is certainly not about knowledge anymore.

2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing

More Conferences

Periodicals related to Kernel

Back to Top

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.

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 ...

Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...

Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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.

More Periodicals

Most published Xplore authors for Kernel

Back to Top

Xplore Articles related to Kernel

Back to Top

Optimal Variable Length Markov Chain (VLMC) Modeling of Fading Channels

[{u'author_order': 1, u'affiliation': u"King Mongkut's University of Technology, Thonburi, Email:", u'full_name': u'Wuttipong Kumwilaisak'}, {u'author_order': 2, u'affiliation': u'University of Southern California, Email:', u'full_name': u'C. -c. Jay Kuo'}, {u'author_order': 3, u'affiliation': u'University of Florida, Email:', u'full_name': u'Dapeng Wu'}] 2006 IEEE International Conference on Communications, None

Channel characterization and modeling is essential to the wireless communication system design. A model that optimally represents a fading channel with a variable length Markov chain (VLMC) is proposed in this work. VLMC offers a general class of Markov chains whose structure has a variable order and a parsimonious number of transition probabilities. The proposed model consists of two main ...

Generating FPGA-based image processing accelerators with Hipacc: (Invited paper)

[{u'author_order': 1, u'affiliation': u'Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU)', u'full_name': u'Oliver Reiche'}, {u'author_order': 2, u'affiliation': u'Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU)', u'full_name': u'M. Akif \xd6zkan'}, {u'author_order': 3, u'affiliation': u'German Research Center for Artificial Intelligence, Saarland University', u'full_name': u'Richard Membarth'}, {u'author_order': 4, u'affiliation': u'Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU)', u'full_name': u'J\xfcrgen Teich'}, {u'author_order': 5, u'affiliation': u'Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU)', u'full_name': u'Frank Hannig'}] 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), None

Domain-Specific Languages (DSLs) provide a high-level and domain-specific abstraction to describe algorithms within a certain domain concisely. Since a DSL separates the algorithm description from the actual target implementation, it offers a high flexibility among heterogeneous hardware targets, such as CPUs and GPUs. With the recent uprise of promising High-Level Synthesis (HLS) tools, like Vivado HLS and Altera OpenCL, FPGAs ...

Performance evaluation of GMICRO/500 microprocessor for CTRON based kernel

[{u'author_order': 1, u'affiliation': u'Hitachi Ltd., Japan', u'full_name': u'M. Yamamoto'}, {u'author_order': 2, u'full_name': u'I. Kawasaki'}, {u'author_order': 3, u'full_name': u'Y. Fuzino'}, {u'author_order': 4, u'full_name': u'H. Taguchi'}] Proceedings the Tenth Project International Symposium, 1993, None

The GMICRO/500 is a high-performance 32-b microprocessor based on the TRON specification. The authors evaluate the performance of the GMICRO/500 under the CTRON based OS environment. They developed an evaluation system for the CTRON based kernel interface to evaluate the execution time of each system call under the several conditions. The authors applied this evaluation system to GMICRO/500 and GMICRO/300 ...

Long Term Load Forecasting and Recommendations for China Based on Support Vector Regression

[{u'author_order': 1, u'affiliation': u'Accounting Res. center, Chongqing Univ. of Technol., Chongqing, China', u'full_name': u'Zhiheng Zhang'}, {u'author_order': 2, u'affiliation': u'Sch. of Econ. & Bus. Adm., Chongqing Univ., Chongqing, China', u'full_name': u'Shijie Ye'}] 2011 International Conference on Information Management, Innovation Management and Industrial Engineering, None

Long-term load forecasting (LTLF) is a challenging task because of the complex relationships between load and factors affecting load. However, it is crucial for the economic growth of fast developing countries like China as the growth rate of gross domestic product (GDP) is expected to be 7.5%, according to China's 11th Five-Year Plan (2006-1010). In this paper, LTLF with an ...

Hardware Support for Efficient Sparse Matrix Vector Multiplication

[{u'author_order': 1, u'affiliation': u'Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW', u'full_name': u'Anderson Kuei-An Ku'}, {u'author_order': 2, u'affiliation': u'Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW', u'full_name': u'Jenny Yi-Chun Kuo'}, {u'author_order': 3, u'affiliation': u'Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW', u'full_name': u'Jingling Xue'}] 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, None

Sparse matrix vector multiplication (SpMxV) is a core operation in many engineering, scientific and financial applications. Due to the sparse nature of the underlying matrices, irregular memory access patterns and short row lengths often slow down the performance significantly. Past implementations of SpMxV have been reported to be run at 10% or less of the machine's peak capability. In this ...

More Xplore Articles

Educational Resources on Kernel

Back to Top


No eLearning Articles are currently tagged "Kernel"


  • Software Requirements for Switch/Routers

    This chapter describes the most important technical issues encountered during the development of switch/router software and the industry practices and solutions involved in the development process. It also describes the complex nature of the design decisions involved and shows the many conflicting technical requirements that have to be addressed. While achieving extremely high forwarding rate is desirable, the design also has to address the equally important requirement of routing protocol updates and network stability. A careful balancing of these requirements is key to coming out with a high‐performing yet cost‐effective design. The chapter discusses some of the key techniques used in the system development areas. It also describes the issues related to processing power, queuing, and memory allocation in the design of switch/routers. In a majority of networks, networking management constitutes the biggest portion of the cost in operating the network. The chapter explains some of key tasks carried out in the line cards.


    This chapter proposes the integrated use of parameter¿¿¿selection¿¿¿based ensemble learning (PSBEL) and least square support vector machine (LS¿¿¿SVM) algorithm for lithium¿¿¿ion battery remaining useful life (RUL) estimation. Technically, given a set of monitoring parameters, some groups of parameters are randomly selected to construct LS¿¿¿SVM submodels. On the basis of these submodels, ensemble learning is utilized to achieve a final result, which overcomes the difficulty of accurately determining the model parameters and significantly improves the precision and stability of RUL estimation. The proposed approach provides practitioners with confidence intervals and probability distributions of RUL estimates for uncertainty management. The validity and applicability of the PSBEL with LS¿¿¿SVM for RUL estimation are demonstrated using capacity¿¿¿changing data of lithium¿¿¿ion batteries during discharging cycles. To analyze the impact of different submodels on the precision of final RUL prediction and to improve the uncertainty representation, more advanced ensemble learning techniques should be considered.

  • A Proposal for a Kernel Based Algorithm for Large Vocabulary Continuous Speech Recognition

    This chapter contains sections titled: Introduction Segment Models and Hidden Markov Models Kernel Based Model Large Margin Training Implementation Details Discussion Acknowledgements References

  • Yacc

    This chapter contains sections titled: * Introduction * yacc Input and Output Files * A Simple yacc-Generated Parser * Passing Values using the Value Stack * Using yacc with an Ambiguous Grammar * Passing Values Down the Parse Tree * Implementing Sly * jflex * Problems

  • Host‐Level Solutions

    This chapter contains sections titled: Background Sandboxing Virtualization Resource Management Proof‐Carrying Code Memory Firewall Antimalware Conclusion References

  • Managing Resources

    This chapter contains sections titled: Resource‐Related Concerns in Mobile Devices Common Concerns MIDP Java Symbian OS Summary Exercises

  • Performance Measurements

    This chapter contains sections titled: HIP on Nokia Internet Tablet Experimental results Summary

  • Performance Evaluation of the Hammerstein-Type DFE

    When nonlinear distortion of the fiber channel and the multipath dispersion of the wireless channel are jointly equalized using a Hammerstein type decision performance equalizer, the performance evaluations and equalizer parameter optimization are very important. This is explained in this chapter where the mean square error performance is derived using the correlation properties of high order nonlinear terms. The derived expression simplifies to that of the linear DFE when the nonlinear portions is absent.

  • Protein Tertiary Model Assessment

    In structure biology, protein structures are often determined by techniques such as X-ray crystallography, NMR spectroscopy, and electron microscopy. In this chapter, the authors aim to obtain a learning algorithm that studies known structures from Protein Data Bank (PDB) and when given a protein model predicts whether it belongs to the same class as PBD structures. The chapter aims at developing and implementing new granular decision machines to find biologically meaningful features for assessing 3D protein structures accurately and efficiently. This leads to a better understanding of how and why the key biological features and geometric features can dominate a 3D protein structure, and identify these critical sequence features and geometric features. The most familiar assessment techniques are categorized in the chapter, and the importance of each category is discussed. The machine learning techniques considered in the chapter are support vector machines and fuzzy decision trees.

  • Distributed Learning in Wireless Sensor Networks

    This chapter contains sections titled: Introduction Classical Learning Distributed Learning in Wireless Sensor Networks Distributed Learning in WSNs with a Fusion Center Distributed Learning in Ad‐hoc WSNs with In‐network Processing Conclusion Bibliography

Standards related to Kernel

Back to Top

(Replaced) IEEE Standard VHDL Language Reference Manual

his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.