PPT-An Iterative Algorithm for Trust

Management and Adversary Detection for DelayTolerant Networks Authors Erman Ayday and Faramarz Fekri Presented by Sameer Alomari salomarivtedu Outline INTRODUCTION MANETs VS DTNs. 00 57513 2003 IEEE Computer Iterative and Incremental Development A Brief History s agile methods become more popular some view iterative evolutionary and incremental software developmenta cornerstone of these methodsas the m for Trust Management. and Adversary Detection. for Delay-Tolerant Networks. Authors . . :. Erman AYDAY. ,. . Faramarz Fekri. Presented by . : Mehmet Saglam. Department of Computer Science. Lattice-Theoretic Formulation. Meet-Over-Paths . Solution. Monotonicity/. Distributivity. Jeffrey D. Ullman. Stanford University. 2. Data-Flow Analysis Frameworks. Generalizes and . unifies the . DFA examples from previous . Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. Under. : Prof. Amitabha Mukherjee. By. : Narendra Roy. Roll no. : 11451. Group. : 6. Published by. : . Himanshu Bhatt,. Deepali Semwal. Shourya Roy. Introduction. Supervised machine learning classifications assume both training and test data are sampled from same domain or distribution (. Richard . Peng. Joint with Michael Cohen (MIT), . Rasmus. . Kyng. (Yale), . Jakub. . Pachocki. (CMU), and . Anup. . Rao. (Yale). MIT. CMU theory seminar, April 5, 2014. Random Sampling. Collection of many objects. Lecture 5: Software Development Models. Recap. Software development process model. . Waterfall model. . Advantages. . Disadvantages. . Usage. . Prototype model . . Advantages. . Disadvantages. fonts used in EMF. . Read the . TexPoint. manual before you delete this box.: . A. A. Sumit. . Gulwani. Microsoft Research, Redmond, USA. sumitg@microsoft.com. The . Fixpoint. Brush. in. The Art of Invariant Generation. V. Elia, E. Napoli. Department of . Chemical Sciences. Campus of Monte Sant’Angelo. Naples, Italy. “. If we knew what it was we were doing, it would not be called . research, . would . it?”. A. Iterative AS and PA in Energy Efficient MIMO. IEEE ICC 2014 . 1. Is there a promising way? . A. n. I. terative. A. lgorithm. . for. J. oint. A. ntenna. S. election. . and. P. ower. A. daptation. research progress. Last week : finalize dvc3D 1.0. Getting iterative method in dvc3D (in progress). Working on Candidacy plan. Past week. dvc3D 1.0 : . Getting it run inside Blender: can create joints, model object(done). . -presented by-. Andreea. Sistrunk & . Josh. Southward. Presentation Overview. Andreea: Josh:. Problem Definition. Related Work. Service Discovery. Trust Establishment. System Model. Experimental Results. Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. Define . Iterative Patterns. …. Iterative Patterns follow a specific . RULE. .. Examples of Iterative Patterns:. 2, 4, 6, 8, 10, …. 2, 4, 8, 16, 32, …. 96, 92, 88, 84, 80, …. 625, 125, 25, 5, ….