PPT-Query Decomposition and Data Localization

Bhavana ganne 20 Srilekha vuyurru 21 Prasanna Kumar reddy kukkala 22 Krishna teja talasila 19 GROUP 5 226 235 Agenda Query Decomposition Data Localization . Learning Objectives. Understand why WSNs need localization protocols. Understand localization protocols in WSNs. Understand secure localization protocols. Prerequisites. Module 7. Basic concepts of network security. Parallel Processing (CS453) . . How . does one decompose a task into various subtasks? . . While there is no single recipe that works for all problems, we present a set of commonly used techniques that apply to broad classes of problems. These include: . Patrick Lazar, . Tausif. . Shaikh. , Johanna Thomas, . Kaleel. . Mahmood. . University of Connecticut . Department of Electrical Engineering. Outline. Background. Objective. Hardware/Software. Methods. Risk and Rewards of New Territories. Moderator. : Tom Edwards . (Englobe Inc.). Danica Brinton . (Linden Labs). Rio Hasegawa . (SEGA Japan). Tacey Miller . (Microsoft Corp.). What is a “New Territory”?. Gabriel Robins and . Kirti Chawla. Department of Computer Science. robins@cs.virginia.edu kirti@cs.virginia.edu. Outline. Problem: Object Localization. Prior Art. RFID Technology Primer. Our Localization Approach. SING a LOCAL SONG that is POPULAR in your PLACE. ACTIVITY. Localization and Contextualization. Legal Basis. RA 10533. Enhanced Basic . E. ducation . A. ct of 2013. Localization and Contextualization. Liu Y, Yang Z, Wang X et al. . JOURNAL . OF COMPUTER SCIENCE AND. TECHNOLOGY, Mar. . . 2010. Slides prepared by . Lanchao. . Liu and Zhu Han. ECE Department, University of Houston. Outline. Location. Steven L. . Brunton1, . Joshua L. Proctor2, J. Nathan . Kutz1. ，. Journal . of Computational Dynamics, Submitted . in. DEC,2013. .. Dynamic Mode Decomposition. Fluid simulation is very important in engineering. in that most fluid mechanical systems of interest are described by the same governing equations: the . Rajalakshmi Nandakumar,. Vikram Iyer, . Shyam. . Gollakota. Recent localization work on improving accuracy. Do not meet the needs of . small. IoT devices. [1] D. . Vasisht. , et al. NSDI’16. [2] M. . Matthew Thompson, UF. matthewbot@ufl.edu. Prolific Authors. Important Papers. Prolific Institutions. Title. Year. Times Cited. Institutions or. Organizations. Simultaneous map building and localization for an autonomous mobile. CrowdSourcing. based Indoor Localization. Cheng Wu 5110309335. Reference. ：. Zee: Zero-Effort Crowdsourcing for Indoor Localization. Related work . RF Fingerprinting based . Localization. Yvette Fang. Red & Blue International. Focus On Asia Workshop . by Massachusetts Office of Travel & Tourism (MOTT). Why This Seminar. The U.S. State Department (2010): The U.S. firms collectively lose out on $50 billion a year due to poor or missing translations.. In Cluttered . Indoor Environments Through . Probabilistic Classification . Methods. Rutgers University. Chenren. . Xu. Joint work with . Bernhard . Firner. , . Yanyong. Zhang. Richard Howard, Jun Li, . PRODUCT DATA SHEETCI-1428-0521-AKONTAKTLoFu 150 A development from Bertrandt Technologie GmbH RegensburgLoFu Lokalisierungsfusion