RETRACTED: Decoupling IPv7 from Replication in Link-Level Acknowledgements

Yu Hui Shen; Han Zhou Hao

doi:10.4028/www.scientific.net/AMM.246-247.390

Paper Titles

Slope Displacement Prediction Model Based on LMD and BP Neural Network
p.370

Design of a Multi-Core System for Cipher Processing Base on NoC
p.377

Modeling File Distribution Process and Simulation Influencing Factors in P2P Networks
p.381

Resolution of DWG Files Based on Dwgdirect and 3D Modeling
p.385

RETRACTED: Decoupling IPv7 from Replication in Link-Level Acknowledgements
p.390

Simulation Based on OPNET and within IPv6 Real Source Address Authentication
p.394

A Scheme on Fault-Tolerant Broadcasting for Directed Communication Network with Time Bounds
p.398

Study of Three-Phase Full Bridge Spwm VSI
p.403

Research and Realization of Virtual Assembly Environment of Armored Vehicle Transmission Based on Dual-Channel Projection
p.408

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 246-247RETRACTED: Decoupling IPv7 from Replication in...

RETRACTED: Decoupling IPv7 from Replication in Link-Level Acknowledgements

Retracted:

This paper has been retracted by publisher.
This paper was found to be in violation of the scope and quality criteria. The document is now considered retracted. Due to strong violation, necessary effort should be made to remove all further references to this paper.
We regret any inconvenience this publication might cause you.

Abstract:

Retracted paper: Mathematicians agree that homogeneous archetypes are an interesting new topic in the field of programming languages, and researchers concur. In our research, we verify the evaluation of model checking. In this position paper we describe an encrypted tool for refining lambda calculus (VENDS), which we use to prove that the Internet can be made empathic, game-theoretic, and metamorphic.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 246-247)

Pages:

390-393

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.246-247.390

Online since:

December 2012

Authors:

Yu Hui Shen, Han Zhou Hao

Keywords:

Evaluation, Link-Level Acknowledgements, Programming Languages

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Permissions:

Creative Commons CC BY 4.0

Citation:

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