CTQ Tree Structure

Aug 16, 2014

190 likes | 547 Vues

CTQ Tree Structure. 註：此為關鍵品質數的基本結構，小組可自行決定分枝的多寡。.

Télécharger la présentation

CTQ Tree Structure

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

CTQ Tree Structure 註：此為關鍵品質數的基本結構，小組可自行決定分枝的多寡。

Tree structure

Tree structure. By Edward F. Gilman Department of Environmental Horticulture University of Florida http://hort.ufl.edu/woody/planting. Tree Structure. What’s the Problem?. What is good structure?. Outline of topics. Forest grown vs. open grown tree Codominant stems

1.02k views • 41 slides

K-structure, Separating Chain, Gap Tree, and Layered DAG

K-structure, Separating Chain, Gap Tree, and Layered DAG . Presented by Dave Tahmoush. Overview. Improvement on Gap Tree and K-structure Faster point location Encompasses Separating Chain Better storage Designed for point location in polygonal maps. K-structure. By Kirkpatrick

424 views • 25 slides

R-Tree: Spatial Representation on a Dynamic-Index Structure

R-Tree: Spatial Representation on a Dynamic-Index Structure. Advanced Algorithms & Data Structures Lecture Theme 03 – Part II K. A. Mohamed Summer Semester 2006. Overview. Representing and handling spatial data The R-Tree indexing approach, style and structure Properties and notions

677 views • 44 slides

Tree Binary Tree

Tree Binary Tree. Arrays and Linked List. ARRAYS 1. Good Data structure for Searching algorithms. 2. Disadvantage : Insertion and Deletion of Elements require Data movements(Time Consuming) LINKED LIST

644 views • 21 slides

Data Structure Tree

Data Structure Tree. Disusun Oleh : Budi Arifitama Pertemuan ke - 8. Objectives . Define trees as data structures Define the terms associated with trees Discuss tree traversal algorithms Discuss Binary Tree Examine a binary tree example. Sub Topi c. Tree Introduction

8.85k views • 54 slides

Lecture 8 The Tree Data Structure ctd

Lecture 8 The Tree Data Structure ctd. BSTs in Java Traversal. Implementation of sets using BSTs. Deleting a subtree’s leftmost element. Deleting a subtree’s topmost element. Deleting an arbitrary given element in a BST. BST in Java. A node of a BST of Strings: class BSTNode {

467 views • 27 slides

Product Structure Tree

Product Structure Tree. Chair. Leg Assembly. Back Assembly. Seat. Cross bar. Side Rails (2). Cross bar. Back Supports (3). Legs (2). Level 0. 1. 2. 3. Product Explosion (assume there is no inventory). Chair. Leg Assembly. Back Assembly. Seat. Cross bar. Side

1.49k views • 16 slides

CTQ Template

CTQ Template. {. 1. 2. 3. {. 1. 2. 3. {. 1. 2. 3. {. 1. 2. 3. {. 1. 2. 3. {. 1. 2. 3. {. 1. 2. 3. {. 1. 2. 3. {. 1. 2. 3. CTQ Worksheet . Process ________________________. Measurable Requirements. VOC Comment. 2nd Level Need. 1st Level Need. I need / Want.

708 views • 5 slides

Tree: A Non-linear Data Structure

Tree: A Non-linear Data Structure. Illustration. 50. Level 1. Level 2. 30. 75. Level 3. 12. 45. 53. 80. 20. 35. 48. 78. 85. Level 4. Binary Tree. A new data structure Binary means two. Definition

1.48k views • 22 slides

R-Tree: Spatial Representation on a Dynamic-Index Structure

R-Tree: Spatial Representation on a Dynamic-Index Structure. Advanced Algorithms & Data Structures Lecture Theme 03 – Part I K. A. Mohamed Summer Semester 2006. Overview. Representing and handling spatial data The R-Tree indexing approach , style and structure Properties and notions

573 views • 37 slides

Broadcast Encryption Scheme Realizing Information Granularity by Tree Structure

Broadcast Encryption Scheme Realizing Information Granularity by Tree Structure. Source: Cryptology and Information Security Conference 2009 Author: 吳宗成、林喬雯、林燕卿 Speaker: 張儷子. Outline. 前言定義與系統模型資訊粗細度樹狀結構的資訊粗細度廣播加密具資訊粗細度之廣播加密法建置階段註冊與訂閱階段廣播加密階段解密階段. 前言.

313 views • 12 slides

*CTQ – Critical to Quality

Supplier Overview of Johnson & Johnson MD&D Supplier Quality Standard Operating Procedures (SOPs) Cascade of Specifications and CTQs* to Suppliers. *CTQ – Critical to Quality. Purpose of this SOP. MD&D.

719 views • 9 slides

Fast Texture Synthesis Tree-structure Vector Quantization

Fast Texture Synthesis Tree-structure Vector Quantization. Li-Yi Wei Marc Levoy Stanford University. Outline. Introduction Algorithm TSVQ Acceleration Applications. Introdction How texture differ from images?. Gaussian pyramid. Introdcution.

580 views • 34 slides

The Tree Data Structure

The Tree Data Structure. Outline. In this topic, we will cover: Definition of a tree data structure and its components Concepts of: Root, internal, and leaf nodes Parents, children, and siblings Paths, path length, height, and depth Ancestors and descendants Ordered and unordered trees

895 views • 42 slides

Adding ORDR Rare Diseases Terms to MeSH Tree Structure

Adding ORDR Rare Diseases Terms to MeSH Tree Structure. Stephen C. Groft, Pharm. D. Director, office of Rare Diseases Research National Institutes of Health Department of Health and Human Services, USA ICORD 2009 Rome, Italy February 23-25, 2009. Scientific Disease Coding Within NIH.

197 views • 6 slides

Tree – a Hierarchical Data Structure

Tree – a Hierarchical Data Structure Trees are non linear data structure that can be represented in a hierarchical manner. A tree contains a finite non-empty set of elements. Any two nodes in the tree are connected with a relationship of parent-child.

404 views • 11 slides

DATA STRUCTURE & ALGORITHMS (BCS 1223) CHAPTER 6 : TREE

NURUL HASLINDA NGAH BP-37 SEMESTER II 2013/2014. DATA STRUCTURE & ALGORITHMS (BCS 1223) CHAPTER 6 : TREE. OVERVIEW. At the end of this chapter you’ll be learnt about: Binary tree Binary search tree Traversing tree LNR NLR LRN. Introduction. Tree is a non-linear data structure

686 views • 50 slides

Tree Services-Tree Removal

Tree Service offers 24 hour emergency tree service. When trees fall on a house it is often during rain storms and often happens after standard business hours.

296 views • 4 slides

Tree structure

517 views • 41 slides

The Binary Tree Data Structure

The Binary Tree Data Structure. Mugurel Ionu ț Andreica Spring 2012. The Elements of a Binary Tree. composed of nodes one special node: the root => rooted trees unrooted trees also exist (but they are not studied in this course) each node has: one left son (possibly NULL)

232 views • 9 slides

A Tree Structure for Mining Behavioral Patterns from Wireless

Now a day's wireless sensor network interesting research area for discovering behavioral patterns wireless sensor network can be used for predicting the source of future events. By knowing the source of future event, we can detect the faulty nodes easily from the network. Behavioral patterns also can identify a set of temporally correlated sensors. This knowledge can be helpful to overcome the undesirable effects e.g., missed reading of the unreliable wireless communications. It may be also useful in resource management process by deciding which nodes can be switched safely to a sleep mode without affecting the coverage of the network. Association rule mining is the one of the most useful technique for finding behavioral patterns from wireless sensor network. Data mining techniques have recent years received a great deal of attention to extract interesting behavioral patterns from sensors data stream. One of the techniques for data mining is tree structure for mining behavioral patterns from wireless sensor network. By implementing the tree structure will face the problem of time taking for finding frequent patterns. By overcome that problem we are implementing associated correlated bit vector matrix for finding behavioral patterns of nodes in a wireless sensor network. By implementing this concept Nandigam Srinivas | Mr. Simma Seshagiri "A Tree Structure for Mining Behavioral Patterns from Wireless" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21561.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/21561/a-tree-structure-for-mining-behavioral-patterns-from-wireless/nandigam-srinivas

69 views • 5 slides

Tree Trimming Experts | Tree Daddy Tree Experts

Trust the tree trimming experts at Tree Daddy Tree Experts for professional care and maintenance of your trees.

19 views • 4 slides

More Related

CTQ Tree Structure

CTQ Tree Structure

Presentation Transcript

Tree structure

K-structure, Separating Chain, Gap Tree, and Layered DAG

R-Tree: Spatial Representation on a Dynamic-Index Structure

Tree Binary Tree

Data Structure Tree

Lecture 8 The Tree Data Structure ctd

Product Structure Tree

CTQ Template

Tree: A Non-linear Data Structure

R-Tree: Spatial Representation on a Dynamic-Index Structure

Broadcast Encryption Scheme Realizing Information Granularity by Tree Structure

*CTQ – Critical to Quality

Fast Texture Synthesis Tree-structure Vector Quantization

The Tree Data Structure

Adding ORDR Rare Diseases Terms to MeSH Tree Structure

Tree – a Hierarchical Data Structure

DATA STRUCTURE &amp; ALGORITHMS (BCS 1223) CHAPTER 6 : TREE

Tree Services-Tree Removal

Tree structure

The Binary Tree Data Structure

A Tree Structure for Mining Behavioral Patterns from Wireless

Tree Trimming Experts | Tree Daddy Tree Experts

DATA STRUCTURE & ALGORITHMS (BCS 1223) CHAPTER 6 : TREE