A Novel Approach of Distributed Trust Model for Secure Transmission in WSN Mahdi Abdulkader Salem Department of Computer Science and Information Technology, Sam Higginbottom Institute of Agriculture, Technology and Scien

Source URL: www.ijmetmr.com

• Wireless sensor network
• Wireless networking
• Sensor node
• Node
• Routing
• ANT
• Kademlia
• Secure data aggregation in WSN

Revue des Energies Renouvelables Vol. 17 N° – 599 Development of a spherical solar collector with a cylindrical receiver K. Mahdi 1,2* and N. Bellel 1 1

Source URL: www.cder.dz

F. MARISSAL O. MAHDI Sommaire

Source URL: boutique.terrevivante.org

Interactive Rendering of Acquired Materials on Dynamic Geometry Using Frequency Analysis Mahdi Bagher, Cyril Soler, Kartic Subr, Laurent Belcour, Nicolas Holzschuch To cite this version: Mahdi Bagher, Cyril Soler, Kartic

Source URL: hal.inria.fr

AtomChase: Directed Search Towards Atomicity Violations Mahdi Eslamimehr, Mohsen Lesani This paper was presented at and awarded

Source URL: www.vpri.org

• Transaction processing
• Computing
• Data management
• Data
• Concurrency control
• Computer architecture
• Databases
• Atomicity
• Linearizability
• ARM architecture
• Process philosophy

Accurate fitting of measured reflectances using a Shifted Gamma micro-facet distribution Mahdi Bagher, Cyril Soler, Nicolas Holzschuch To cite this version: Mahdi Bagher, Cyril Soler, Nicolas Holzschuch. Accurate fitting

Source URL: hal.inria.fr

A Geometric Analysis of Subspace Clustering with Outliers Mahdi Soltanolkotabi1 and Emmanuel J. Cand`es2 1 Department 2 Departments of Electrical Engineering, Stanford University, Stanford, CA 94305

Source URL: statweb.stanford.edu

Robust Subspace Clustering Mahdi Soltanolkotabi∗, Ehsan Elhamifar† and Emmanuel J. Cand`es‡ January 2013 Abstract Subspace clustering refers to the task of finding a multi-subspace representation that best fits

Source URL: statweb.stanford.edu

Nearly Optimal Robust Secret Sharing Mahdi Cheraghchi∗ Department of Computing Imperial College London London, UK

Source URL: eprint.iacr.org

Phase Retrieval from Coded Diffraction Patterns Emmanuel J. Cand`es∗ Xiaodong Li† Mahdi Soltanolkotabi‡ November 5, 2013 Abstract This paper considers the question of recovering the phase of an object from intensit

Source URL: statweb.stanford.edu