'Algorithm' presentation slideshows

Algorithm - PowerPoint PPT Presentation


(IEEE RO-MAN 2007)

(IEEE RO-MAN 2007)

Autonomous navigation of a mobile robot based on passive RFID (IEEE RO-MAN 2007) Source : 16th IEEE International Conference on Robot & Human Interactive Communication Authors : Sunhong.Park 、 Ryo Saegusa and Shuji Hashimoto Speaker :余俊瑩 Advisor :洪國寶 老師 Date : 98.12.08

By jaden
(325 views)

Public Non-interactive Verifiable Computation Model

Public Non-interactive Verifiable Computation Model

Public Non-interactive Verifiable Computation Model. 公共非交互性可验证计算模型. backgound.

By Audrey
(258 views)

Security Assessment of the IPv6 Flow Label (draft-gont-6man-flowlabel-security-00)

Security Assessment of the IPv6 Flow Label (draft-gont-6man-flowlabel-security-00)

Security Assessment of the IPv6 Flow Label (draft-gont-6man-flowlabel-security-00). Fernando Gont on behalf of UK CPNI IETF 79 November 7-12, 2010. Beijing,China. Summary. Document is part of a larger document on IPv6 security being produced by UK CPNI (yet unpublished)

By JasminFlorian
(82 views)

Cache Algorithms

Cache Algorithms

Cache Algorithms. Online Algorithm Huaping Wang Apr.21. Outline. Introduction of cache algorithms A worst-case competitive analysis of FIFO and LRU algorithms The randomized marker algorithm

By jaden
(581 views)

Lecture 1: Symmetric Traveling Salesman Problem

Lecture 1: Symmetric Traveling Salesman Problem

Lecture 1: Symmetric Traveling Salesman Problem. Ola Svensson. Georgia Tech 2019. Who?. LPs. Exercises. APPROX. ATSP. TSP. WHO am I and What will I talk about?. About Me. Ola Svensson ola.svensson@epfl.ch http://theory.epfl.ch/osven Faculty at EPFL Research on algorithms

By verlee
(195 views)

Project 2.A Extending NS-2 to support encryption/decryption

Project 2.A Extending NS-2 to support encryption/decryption

Project 2.A Extending NS-2 to support encryption/decryption. Date: 04/07/2005 Course: CSCI 5931 Name: Sam Tran Tuan Nguyen. Extending NS-2 to support encryption/decryption. Abstract Approach How to add new security features in NS-2 General design encryption/decryption in NS-2

By dallon
(285 views)

Review for Midterm Neil Tang 10/17/2008

Review for Midterm Neil Tang 10/17/2008

Review for Midterm Neil Tang 10/17/2008. Chapter 1. Time Division Multiplexing (TDM) VS. Statistical Multiplexing: how do they work, weakness and strength. OSI 7-layer model and the major functionalities of each layer. Typical examples of protocols in each layer.

By julius
(161 views)

Research Exists Everywhere!

Research Exists Everywhere!

Research Exists Everywhere!. Dr. Shih-Hsin Chen. Department of Electronic Commerce Management, Nanhua University . 2009/4/15. Contents. A “ relaxed ” talk of research. About Me. Part 1. Life Examples of Research. Part 2. What do I “really” want to express?. Part 3. Conclusions.

By lea
(694 views)

Longest Path in a DAG

Longest Path in a DAG

Longest Path in a DAG. Algorithm. Compute topological order of vertices: A B C D E F G H I . F. D. 3. 6. E. time. 5. C. H. I. A. B. G. 0. 6. 0. 4. 2. 4. Longest Path in a DAG. Algorithm. Compute topological order of vertices: A B C D E F G H I .

By agrata
(484 views)

Convex Hull of a 2D Simple Polyline

Convex Hull of a 2D Simple Polyline

Convex Hull of a 2D Simple Polyline. Presenter: Yung-Hsing Peng Date: 2005.12.1. Evolution of finding 2D planar convex hull. n: number of points in the input h: number of points on the output hull. Graham Scan (1/2). Preprocessing: Step 1: Find the lowest point P 0

By jennis
(553 views)

An Algorithm for Bootstrapping Communications

An Algorithm for Bootstrapping Communications

An Algorithm for Bootstrapping Communications . Jun Wang 03/20/03. Amorphous Computing.

By lola
(141 views)

TrackMe

TrackMe

TrackMe. Presenting: Nir Maoz & George Pleener Directed by: Edward Bortnikov. TrackMe. Mesh Network Algorithms Nomadic Service Points. The Idea. Using real wireless data to run in simulations, for different algorithms. Comparing the effectiveness of different algorithms on real data.

By upton
(77 views)

Atmosphere Agenda

Atmosphere Agenda

Science Team TBS Atmosphere PEATE TBS. NICSE. I&TSE. Ozone. SD3E. Sounder. Atmosphere. Land. Ocean. PSOE. Atmosphere Agenda. NPP Science Team Counterparts for Atmosphere PEATE. Bryan Baum (UW): VIIRS Cloud Retrievals Christina Hsu (GSFC): VIIRS Aerosol Retrievals

By dee
(272 views)

Graphics Bitmaps

Graphics Bitmaps

Graphics Bitmaps. Drawing alphabetic characters and multicolor patterns. Finding the ROM fonts. Standard BIOS service locates ROM fonts Designed to execute in 8086 real-mode Normal service-call protocol is followed: Parameters are placed in CPU registers

By bena
(135 views)

Chapter 7: Counting Principles

Chapter 7: Counting Principles

Chapter 7: Counting Principles. Discrete Mathematical Structures: Theory and Applications. Learning Objectives. Learn the basic counting principles—multiplication and addition Explore the pigeonhole principle Learn about permutations Learn about combinations. Learning Objectives.

By midori
(374 views)

PERT/CPM

PERT/CPM

PERT/CPM. PERT/CPM algorithm. Compute topological order of vertices: A B C D E F G H I . F. D. 3. 6. E. time. 5. C. H. I. A. B. G. 0. 6. 0. 4. 2. 4. PERT/CPM. Algorithm. Compute topological order of vertices: A B C D E F G H I .

By kyne
(216 views)

CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms. Order Statistics. Order statistics. The i th order statistic in a set of n elements is the i th smallest element The minimum is thus the 1 st order statistic The maximum is the n th order statistic The median is the n/2 order statistic

By les
(341 views)

Minimum Spanning Trees

Minimum Spanning Trees

Minimum Spanning Trees. 2704. BOS. 867. 849. PVD. ORD. 187. 740. 144. JFK. 1846. 621. 1258. 184. 802. SFO. BWI. 1391. 1464. 337. 1090. DFW. 946. LAX. 1235. 1121. MIA. 2342. Spanning subgraph Subgraph of a graph G containing all the vertices of G Spanning tree

By gates
(424 views)

Proximity Closest pair, divide-and-conquer

Proximity Closest pair, divide-and-conquer

Proximity Closest pair, divide-and-conquer. Closest pair CLOSEST PAIR INSTANCE: Set S = { p 1 , p 2 , ..., p N } of N points in the plane. QUESTION: Determine the two points of S whose mutual distance is smallest. We’ve seen a proof that CLOSEST PAIR has a lower bound for

By rufus
(181 views)

CSCE 3110 Data Structures & Algorithm Analysis

CSCE 3110 Data Structures & Algorithm Analysis

CSCE 3110 Data Structures & Algorithm Analysis. Rada Mihalcea http://www.cs.unt.edu/~rada/CSCE3110 Sorting (I) Reading: Chap.7 , Weiss. Sorting. Given a set (container) of n elements E.g. array, set of words, etc. Suppose there is an order relation that can be set across the elements

By landry
(135 views)

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