Task scenarios Outline. Scenarios in Knowledge Extraction. Proposed Framework for Scenario to Design Diagram Transformation

Size: px
Start display at page:

Download "Task scenarios Outline. Scenarios in Knowledge Extraction. Proposed Framework for Scenario to Design Diagram Transformation"

Transcription

1 6-0-0 Kowledge Trasformatio from Task Scearios to View-based Desig Diagrams Nima Dezhkam Kamra Sartipi {dezhka, Departmet of Computig ad Software McMaster Uiversity CANADA SEKE 08 July, 008 Outlie Task Scearios Scearios i kowledge extractio Proposed framework Sceario geeratio Sceario decompositio Desig costructio Fast-food restaurat case-study Coclusios Task scearios Scearios i Kowledge Extractio We defie a sceario as a structured arrative text describig a system s requiremets i terms of system-eviromet iteractios at busiess rule level. Differet sceario represetatios: Simple text Graphical represetatio Relatioal algebra, etc. Commo applicatios of scearios: Requiremet elicitatio ad aalysis, Desig represetatio, Testig Maiteace Ehacemet of sceario geeratio by usig sceario schemas Formal represetatio of scearios usig tabular expressio is itroduced i order to simplify the tasks of sceario verificatio, validatio ad itegratio Schema defiitio for sematic model of scearios to help requiremet refiemets Modular represetatio of the scearios to support the reusability of the scearios i differet desig cotexts Proposed Framework for Sceario to Desig Diagram Trasformatio Proposed Framework Properties: Trasforms a set of text-based scearios ito two types of desig diagrams, as: Data ad Fuctio. Uses a sceario sytax that allows us to defie well-structured scearios. Uses a sceario schema to parse the scearios ad populate a object base of actors, actios, ad depedecies. Uses Guidelies for trasformig the elemets i the object base ito desig diagrams. Stage (Sceario geeratio) Stage (Sceario decompositio) Stage (Desig costructio) 5 6

2 6-0-0 Sceario Sytax Physical view Stage : Sceario Geeratio Sceario : {Actor + {Costraits} 0..M }..N + {Actio + {Costraits} 0..M }..N + {Workig Iformatio + {Costraits} 0..M }..N Example sceario: Order taker adds a meu item to a icomplete order. 7 Sample Sceario Template Form Proposed Sceario Schema Stage : Sceario Geeratio A sceario template forms the kowledge- base of a fast-food restaurat system Stage : Sceario Decompositio 9 0 Example of Sceario Decompositio: Oe of the Scearios Objectbase Created from 0 Scearios Stage : Sceario Decompositio Sample Fast-food sceario: Decomposed sceario: Stage : Sceario Decompositio

3 6-0-0 Desig Costructio Guidelies: Data View Geerated E-R Diagram Stage : Desig Costructio Step : Extract all istaces of Actor, Workig iformatio, ad Data depedecy classes from the object base ad apply the followig rules o them:. Istaces of Actor ad Workig iformatio are cadidate etities/attributes.. Istaces of Is depedecy imply geeralizatio ad iheritace relatioships, i.e., A Is B, meas A is sub-etity of B, or B is super-etity of A.. Cadidate etities/attributes that appear o either side of a Is, Is-associated-with, or Is-part-of relatioship are cosidered as etities.. Istaces of Has ad Belog-to depedecies are used to idetify the attributes of the etities, i.e., A Has B (or B Belogs-to A) meas B is a attribute of etity A. 5. Istaces of Is-associated-with depedecy imply cadidate associatio relatioships. Stage : Desig Costructio 6. Istaces of Is-part-of depedecy imply cadidate decompositio relatioships. Step : Depict every etity by a rectagle, every attribute of a etity as a bubble coected to it ad label them by their ames. Every relatioship betwee two etities ca be represeted by a lie coectig them. Label every relatioship accordig to the type of depedecy it came from, e.g., is, is-part-of, etc. Decomposed sceario Part of geerated ER diagram for fast-food restaurat Desig Costructio Guidelies: Fuctio view List of Actios i Order Takig Compoet ad the Follows Relatio Stage : Desig Costructio Step : Extract all istaces of Actio, Actio depedecy, ad Costrait classes from the object base ad apply the followig rules o them:. Istaces of Actio class are the fuctios.. Istaces of the Follow ad Precede depedecies determie the time-order of executio of the fuctios. To simplify the diagram geeratio, trasform all the Precede depedecies to Follow, i.e., for all fuctios f ad f, chage fprecede f to f Follow f. The participats of a Is-parallel-with depedecy must be executed cocurretly.. The coditios for a fuctio to follow aother is determied by the Costraits related to the fuctio, actor, ad workig iformatio i the correspodig sceario that the followig appears. Step: Geerate Follow+ relatioship (the trasitive-closure of the Follow). Step : Sort the fuctios i ascedig order based o the umber of the fuctios they follow, i.e., based o the umber of times they appear o the left had side of a Follow relatioship. Step : Startig from the first of the list, depict the fuctio (ame A) with a square ad label it by its ame. List all the fuctios that Follow A. Use AND ad OR coectors whe ecessary. Next, all arrows are labeled with the triggerig coditios obtaied i rule above. Fially, remove A from the list ad repeat Step, util the list is empty. 6 Geerated Fuctio Diagram Coclusio Stage : Desig Costructio Part of geerated Fuctio diagram for fast-food restaurat Task scearios: are used to geerate the igrediets of the desig diagrams. Sceario geeratio: geeratig a set of structured text-based scearios that coform with a regular expressio sytax. Sceario decompositio: mappig geerated scearios oto sceario schema which allows parsig the structured scearios ad geeratig istaces of schema classes. Desig costructio: geeratig desig diagrams i Data ad Fuctio views usig the decomposed scearios ad based o a set of guidelies. 7 8

4 6-0-0 Kowledge Trasformatio from Task Scearios to View-based Desig Diagrams Request For Proposal (RFP) Ma cf o o d r e s t a u ra t s ys tem Nima Dezhkam Kamra Sartipi {dezhka, sartipi}@mcmaster.ca M ac F o o d is a ew restaurat chai which offers fast food to the customers. It uses a i-store computer system to assist order-takig ad paymet, food preparatio, delivery, ad ivetory. Orders ad paymets are take by staff usig touch-scree'' displays. Kitche ad delivery staff view orders o displays, ad register the status of orders by pressig buttos of the keypads. Ivetory of the food ad supplies is tracked by the computer system. The restaurat maager is able to cofigure the system to set meu items, igrediets, prices, ivetory levels, ad store setup. The followig sectio briefly itroduces the various uits of the M ac F o o d System. Departmet of Computig ad Software McMaster Uiversity CANADA The followig slides discuss the produced SRS after requiremet aalysis phase SEKE 08 July, Physical view Order-Takig Uit This uit sets up customer orders ad hadles paymet. Meu items are selected from the restaurat-meu by touchig buttos o the touch-scree. Selectio of a item causes it to be added to the curret order (which is displayed i a scrollable widow o the scree), ad the subtotals / tax of the order are displayed. A order ca be paid aytime betwee its set-up ad delivery to the customer. The system keeps the cash balace of each order-takig statio ad has facilities for supportig cash float (i.e., a specified amout of cash i the order-takig statio at the begiig) ad skim (i.e., a threshold amout of cash, which oce exceeded, must be trasferred to the cash balace) of each statio. Each order is hadled by oly oe order-taker; however, the orders could be stored i a list ad each order-taker i the system ca access this list to service the stored orders. Assembly Uit Food Preparatio Uit Whe a order is set up, the kitche should be iformed to prepare the orderitems. I order to prepare a order, the system distributes order-items amog preparatio statios, equipped to prepare certai items of the restaurat-meu. Whe the computer system determies that all items of a order are available i the chutes, the order ca be assembled. I geeral, more tha oe statio is capable of makig a particular item. Each statio has a scree ad a keypad. Similar items of differet orders are grouped together. Each available assembly-statio picks the order ad displays it o its scree. The assembly-statios use scree ad keypad for iteractio with the staff. The staff assemble the orders, ad usig keypads iform the system. If the order is paid, the system allows the delivery of the order to the customer, otherwise, the delivery will be postpoed to the time that the order is paid. If the system idicates that a order ca be filled, but the chutes do ot cotai a sufficiet quatity of some order's item, the staff report the shortage to the system to be prepared. Cosiderig the umber of items assiged to each statio ad its curret load of work, the system decides whether to sed the items to that statio or ot. The scree of the preparatio-statio displays a list of items ad their quatities. Kitche staff prepare the required quatity of a item, put them i the chute, ad usig the keypad iform the system. There is oe chute for each meu item. Meu items are prepared i respose to real ad aticipatory demads. Aticipatory demads are set up by the maager to shorte the average time of waitig for food.

5 6-0-0 Ivetory Uit Maagemet Uit The maagemet-uit of the restaurat system is resposible for settig up: The ivetory uit i the system keeps track of the cosumptio of all materials used for preparatio ad packagig of the order-items. Active statios i order-takig, preparatio, ad assembly uits. We refer to these materials as raw-materials. This uit has a very close iteractio with the preparatio uit. System tables such as restaurat-meu, recipes, aticipated demads, miimum umber of meu-items, ad raw-materials i stock. The system keeps stock, ad the ivetory of raw materials is updated dyamically. List of meu-items to be prepared by each preparatio statio. Cash skim ad float. The arrival of ew materials ito storage is etered ito the system by the staff, ad the cosumptio of the materials is dictated by the recipes of food-items. Differet applicable taxes. To preserve stock itegrity, the system assumes a miimum threshold for usage of each meu-item i the system. If the umber of a certai meu-item drops below this threshold, it is cosidered uavailable ad the ivetory uit alerts the ordertakig uit to ihibit takig that item. System time ad date. E-R diagram of the Restaurat System 5

1 Enterprise Modeler

1 Enterprise Modeler 1 Eterprise Modeler Itroductio I BaaERP, a Busiess Cotrol Model ad a Eterprise Structure Model for multi-site cofiguratios are itroduced. Eterprise Structure Model Busiess Cotrol Models Busiess Fuctio

More information

Outline. Research Definition. Motivation. Foundation of Reverse Engineering. Dynamic Analysis and Design Pattern Detection in Java Programs

Outline. Research Definition. Motivation. Foundation of Reverse Engineering. Dynamic Analysis and Design Pattern Detection in Java Programs Dyamic Aalysis ad Desig Patter Detectio i Java Programs Outlie Lei Hu Kamra Sartipi {hul4, sartipi}@mcmasterca Departmet of Computig ad Software McMaster Uiversity Caada Motivatio Research Problem Defiitio

More information

Goals of this Lecture Activity Diagram Example

Goals of this Lecture Activity Diagram Example Goals of this Lecture Activity Diagram Example Object-Orieted Aalysis ad Desig - Fall 998 Preset a example activity diagram Ð Relate to requiremets, use cases, ad class diagrams Also, respod to a questio

More information

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 19 Query Optimizatio Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Query optimizatio Coducted by a query optimizer i a DBMS Goal:

More information

A New Morphological 3D Shape Decomposition: Grayscale Interframe Interpolation Method

A New Morphological 3D Shape Decomposition: Grayscale Interframe Interpolation Method A ew Morphological 3D Shape Decompositio: Grayscale Iterframe Iterpolatio Method D.. Vizireau Politehica Uiversity Bucharest, Romaia ae@comm.pub.ro R. M. Udrea Politehica Uiversity Bucharest, Romaia mihea@comm.pub.ro

More information

Τεχνολογία Λογισμικού

Τεχνολογία Λογισμικού ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών Τεχνολογία Λογισμικού, 7ο/9ο εξάμηνο 2018-2019 Τεχνολογία Λογισμικού Ν.Παπασπύρου, Αν.Καθ. ΣΗΜΜΥ, ickie@softlab.tua,gr

More information

Goals of the Lecture UML Implementation Diagrams

Goals of the Lecture UML Implementation Diagrams Goals of the Lecture UML Implemetatio Diagrams Object-Orieted Aalysis ad Desig - Fall 1998 Preset UML Diagrams useful for implemetatio Provide examples Next Lecture Ð A variety of topics o mappig from

More information

System and Software Architecture Description (SSAD)

System and Software Architecture Description (SSAD) System ad Software Architecture Descriptio (SSAD) Diabetes Health Platform Team #6 Jasmie Berry (Cliet) Veerav Naidu (Project Maager) Mukai Nog (Architect) Steve South (IV&V) Vijaya Prabhakara (Quality

More information

Interactive PMCube Explorer

Interactive PMCube Explorer Iteractive PMCube Explorer Documetatio ad User Maual Thomas Vogelgesag Carl vo Ossietzky Uiversität Oldeburg December 9, 206 Cotets Itroductio 3 2 Applicatio Overview 4 3 Data Preparatio 6 3. Data Warehouse

More information

Baan Tools User Management

Baan Tools User Management Baa Tools User Maagemet Module Procedure UP008A US Documetiformatio Documet Documet code : UP008A US Documet group : User Documetatio Documet title : User Maagemet Applicatio/Package : Baa Tools Editio

More information

Data Warehousing. Paper

Data Warehousing. Paper Data Warehousig Paper 28-25 Implemetig a fiacial balace scorecard o top of SAP R/3, usig CFO Visio as iterface. Ida Carapelle & Sophie De Baets, SOLID Parters, Brussels, Belgium (EUROPE) ABSTRACT Fiacial

More information

Ones Assignment Method for Solving Traveling Salesman Problem

Ones Assignment Method for Solving Traveling Salesman Problem Joural of mathematics ad computer sciece 0 (0), 58-65 Oes Assigmet Method for Solvig Travelig Salesma Problem Hadi Basirzadeh Departmet of Mathematics, Shahid Chamra Uiversity, Ahvaz, Ira Article history:

More information

Τεχνολογία Λογισμικού

Τεχνολογία Λογισμικού ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών Τεχνολογία Λογισμικού, 7ο/9ο εξάμηνο 2018-2019 Τεχνολογία Λογισμικού Ν.Παπασπύρου, Αν.Καθ. ΣΗΜΜΥ, ickie@softlab.tua,gr

More information

CHAPTER IV: GRAPH THEORY. Section 1: Introduction to Graphs

CHAPTER IV: GRAPH THEORY. Section 1: Introduction to Graphs CHAPTER IV: GRAPH THEORY Sectio : Itroductio to Graphs Sice this class is called Number-Theoretic ad Discrete Structures, it would be a crime to oly focus o umber theory regardless how woderful those topics

More information

CSC 220: Computer Organization Unit 11 Basic Computer Organization and Design

CSC 220: Computer Organization Unit 11 Basic Computer Organization and Design College of Computer ad Iformatio Scieces Departmet of Computer Sciece CSC 220: Computer Orgaizatio Uit 11 Basic Computer Orgaizatio ad Desig 1 For the rest of the semester, we ll focus o computer architecture:

More information

What are Information Systems?

What are Information Systems? Iformatio Systems Cocepts What are Iformatio Systems? Roma Kotchakov Birkbeck, Uiversity of Lodo Based o Chapter 1 of Beett, McRobb ad Farmer: Object Orieted Systems Aalysis ad Desig Usig UML, (4th Editio),

More information

Customer Portal Quick Reference User Guide

Customer Portal Quick Reference User Guide Customer Portal Quick Referece User Guide Overview This user guide is iteded for FM Approvals customers usig the Approval Iformatio Maagemet (AIM) customer portal to track their active projects. AIM is

More information

Chapter 4. Procedural Abstraction and Functions That Return a Value. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 4. Procedural Abstraction and Functions That Return a Value. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 4 Procedural Abstractio ad Fuctios That Retur a Value Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 4.1 Top-Dow Desig 4.2 Predefied Fuctios 4.3 Programmer-Defied Fuctios 4.4

More information

The number n of subintervals times the length h of subintervals gives length of interval (b-a).

The number n of subintervals times the length h of subintervals gives length of interval (b-a). Simulator with MadMath Kit: Riema Sums (Teacher s pages) I your kit: 1. GeoGebra file: Ready-to-use projector sized simulator: RiemaSumMM.ggb 2. RiemaSumMM.pdf (this file) ad RiemaSumMMEd.pdf (educator's

More information

Security of Bluetooth: An overview of Bluetooth Security

Security of Bluetooth: An overview of Bluetooth Security Versio 2 Security of Bluetooth: A overview of Bluetooth Security Marjaaa Träskbäck Departmet of Electrical ad Commuicatios Egieerig mtraskba@cc.hut.fi 52655H ABSTRACT The purpose of this paper is to give

More information

Assignment 5; Due Friday, February 10

Assignment 5; Due Friday, February 10 Assigmet 5; Due Friday, February 10 17.9b The set X is just two circles joied at a poit, ad the set X is a grid i the plae, without the iteriors of the small squares. The picture below shows that the iteriors

More information

Automatic Generation of Minimal and Safe Transactions in Conceptual Database Design

Automatic Generation of Minimal and Safe Transactions in Conceptual Database Design Automatic Geeratio of Miimal ad Safe Trasactios i Coceptual Database Desig M. A. Pastor, M. Celma-Giméez, L. Mota-Herraz Departameto de Sistemas Iformáticos y Computació; Uiversidad Politécica de Valecia

More information

Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science Pytho Programmig: A Itroductio to Computer Sciece Chapter 1 Computers ad Programs 1 Objectives To uderstad the respective roles of hardware ad software i a computig system. To lear what computer scietists

More information

BEA WebLogic Process Integrator

BEA WebLogic Process Integrator BEA WebLogic Process Itegrator A Compoet of BEA WebLogic Itegratio BEA WebLogic Process Itegrator Studio Olie Help BEA WebLogic Process Itegrator Release 2.0 Documet Editio 2.0 July 2001 Copyright Copyright

More information

Avid Interplay Bundle

Avid Interplay Bundle Avid Iterplay Budle Versio 2.5 Cofigurator ReadMe Overview This documet provides a overview of Iterplay Budle v2.5 ad describes how to ru the Iterplay Budle cofiguratio tool. Iterplay Budle v2.5 refers

More information

Chapter 5. Functions for All Subtasks. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 5. Functions for All Subtasks. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 5 Fuctios for All Subtasks Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 5.1 void Fuctios 5.2 Call-By-Referece Parameters 5.3 Usig Procedural Abstractio 5.4 Testig ad Debuggig

More information

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 26 Ehaced Data Models: Itroductio to Active, Temporal, Spatial, Multimedia, ad Deductive Databases Copyright 2016 Ramez Elmasri ad Shamkat B.

More information

Architectural styles for software systems The client-server style

Architectural styles for software systems The client-server style Architectural styles for software systems The cliet-server style Prof. Paolo Ciacarii Software Architecture CdL M Iformatica Uiversità di Bologa Ageda Cliet server style CS two tiers CS three tiers CS

More information

Lecture 28: Data Link Layer

Lecture 28: Data Link Layer Automatic Repeat Request (ARQ) 2. Go ack N ARQ Although the Stop ad Wait ARQ is very simple, you ca easily show that it has very the low efficiecy. The low efficiecy comes from the fact that the trasmittig

More information

Using the Keyboard. Using the Wireless Keyboard. > Using the Keyboard

Using the Keyboard. Using the Wireless Keyboard. > Using the Keyboard 1 A wireless keyboard is supplied with your computer. The wireless keyboard uses a stadard key arragemet with additioal keys that perform specific fuctios. Usig the Wireless Keyboard Two AA alkalie batteries

More information

COSC 1P03. Ch 7 Recursion. Introduction to Data Structures 8.1

COSC 1P03. Ch 7 Recursion. Introduction to Data Structures 8.1 COSC 1P03 Ch 7 Recursio Itroductio to Data Structures 8.1 COSC 1P03 Recursio Recursio I Mathematics factorial Fiboacci umbers defie ifiite set with fiite defiitio I Computer Sciece sytax rules fiite defiitio,

More information

Term Project Report. This component works to detect gesture from the patient as a sign of emergency message and send it to the emergency manager.

Term Project Report. This component works to detect gesture from the patient as a sign of emergency message and send it to the emergency manager. CS2310 Fial Project Loghao Li Term Project Report Itroductio I this project, I worked o expadig exercise 4. What I focused o is makig the real gesture recogizig sesor ad desig proper gestures ad recogizig

More information

Accuracy Improvement in Camera Calibration

Accuracy Improvement in Camera Calibration Accuracy Improvemet i Camera Calibratio FaJie L Qi Zag ad Reihard Klette CITR, Computer Sciece Departmet The Uiversity of Aucklad Tamaki Campus, Aucklad, New Zealad fli006, qza001@ec.aucklad.ac.z r.klette@aucklad.ac.z

More information

CAEN Tools for Discovery

CAEN Tools for Discovery Applicatio Note AN2086 Sychroizatio of CAEN Digitizers i Multiple Board Acquisitio Systems Viareggio 9 May 2013 Itroductio High speed digitizers fid applicatios i several fields ragig from the idustry

More information

Octahedral Graph Scaling

Octahedral Graph Scaling Octahedral Graph Scalig Peter Russell Jauary 1, 2015 Abstract There is presetly o strog iterpretatio for the otio of -vertex graph scalig. This paper presets a ew defiitio for the term i the cotext of

More information

A Boolean Query Processing with a Result Cache in Mediator Systems

A Boolean Query Processing with a Result Cache in Mediator Systems A Boolea Query Processig with a Result Cache i Mediator Systems Jae-heo Cheog ad Sag-goo Lee * Departmet of Computer Sciece Seoul Natioal Uiversity Sa 56-1 Shillim-dog Kwaak-gu, Seoul Korea {cjh, sglee}cygus.su.ac.kr

More information

Chapter 1. Introduction to Computers and C++ Programming. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 1. Introduction to Computers and C++ Programming. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 1 Itroductio to Computers ad C++ Programmig Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 1.1 Computer Systems 1.2 Programmig ad Problem Solvig 1.3 Itroductio to C++ 1.4 Testig

More information

The Magma Database file formats

The Magma Database file formats The Magma Database file formats Adrew Gaylard, Bret Pikey, ad Mart-Mari Breedt Johaesburg, South Africa 15th May 2006 1 Summary Magma is a ope-source object database created by Chris Muller, of Kasas City,

More information

POMA: A Pattern-Oriented and Model-Driven Architecture

POMA: A Pattern-Oriented and Model-Driven Architecture Joural Title: Software - Practice ad Experiece POMA: A Patter-Orieted ad Model-Drive Architecture Mohamed Taleb (, 2), Ahmed Seffah () ad Alai Abra (2) () Huma-Cetered Software Egieerig Group Departmet

More information

TUTORIAL Create Playlist Helen Doron Course

TUTORIAL Create Playlist Helen Doron Course TUTORIAL Create Playlist Hele Doro Course TUTY Tutorial Create Playlist Hele Doro Course Writte by Serafii Giampiero (INV SRL) Revised by Raffaele Forgioe (INV SRL) Editio EN - 0 Jue 0-0, INV S.r.l. Cotact:

More information

Mapping Publishing and Mapping Adaptation in the Middleware of Railway Information Grid System

Mapping Publishing and Mapping Adaptation in the Middleware of Railway Information Grid System Mappig Publishig ad Mappig Adaptatio i the Middleware of Railway Iformatio Grid ystem You Gamei, Liao Huamig, u Yuzhog Istitute of Computig Techology, Chiese Academy of cieces, Beijig 00080 gameiu@ict.ac.c

More information

Parabolic Path to a Best Best-Fit Line:

Parabolic Path to a Best Best-Fit Line: Studet Activity : Fidig the Least Squares Regressio Lie By Explorig the Relatioship betwee Slope ad Residuals Objective: How does oe determie a best best-fit lie for a set of data? Eyeballig it may be

More information

Assignment Problems with fuzzy costs using Ones Assignment Method

Assignment Problems with fuzzy costs using Ones Assignment Method IOSR Joural of Mathematics (IOSR-JM) e-issn: 8-8, p-issn: 9-6. Volume, Issue Ver. V (Sep. - Oct.06), PP 8-89 www.iosrjourals.org Assigmet Problems with fuzzy costs usig Oes Assigmet Method S.Vimala, S.Krisha

More information

Solutions to Final COMS W4115 Programming Languages and Translators Monday, May 4, :10-5:25pm, 309 Havemeyer

Solutions to Final COMS W4115 Programming Languages and Translators Monday, May 4, :10-5:25pm, 309 Havemeyer Departmet of Computer ciece Columbia Uiversity olutios to Fial COM W45 Programmig Laguages ad Traslators Moday, May 4, 2009 4:0-5:25pm, 309 Havemeyer Closed book, o aids. Do questios 5. Each questio is

More information

Improving Information Retrieval System Security via an Optimal Maximal Coding Scheme

Improving Information Retrieval System Security via an Optimal Maximal Coding Scheme Improvig Iformatio Retrieval System Security via a Optimal Maximal Codig Scheme Dogyag Log Departmet of Computer Sciece, City Uiversity of Hog Kog, 8 Tat Chee Aveue Kowloo, Hog Kog SAR, PRC dylog@cs.cityu.edu.hk

More information

Chapter 4 Threads. Operating Systems: Internals and Design Principles. Ninth Edition By William Stallings

Chapter 4 Threads. Operating Systems: Internals and Design Principles. Ninth Edition By William Stallings Operatig Systems: Iterals ad Desig Priciples Chapter 4 Threads Nith Editio By William Stalligs Processes ad Threads Resource Owership Process icludes a virtual address space to hold the process image The

More information

CS 683: Advanced Design and Analysis of Algorithms

CS 683: Advanced Design and Analysis of Algorithms CS 683: Advaced Desig ad Aalysis of Algorithms Lecture 6, February 1, 2008 Lecturer: Joh Hopcroft Scribes: Shaomei Wu, Etha Feldma February 7, 2008 1 Threshold for k CNF Satisfiability I the previous lecture,

More information

Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science Pytho Programmig: A Itroductio to Computer Sciece Chapter 6 Defiig Fuctios Pytho Programmig, 2/e 1 Objectives To uderstad why programmers divide programs up ito sets of cooperatig fuctios. To be able to

More information

In this chapter, you learn the concepts and terminology of databases and

In this chapter, you learn the concepts and terminology of databases and A Itroductio to Database Developmet I this chapter, you lear the cocepts ad termiology of databases ad how to desig the tables that your forms ad reports will use. Fially, you build the actual tables used

More information

Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System

Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System Evaluatio of Differet Fitess Fuctios for the Evolutioary Testig of a Autoomous Parkig System Joachim Wegeer 1 ad Oliver Bühler 2 1 DaimlerChrysler AG, Research ad Techology, Alt-Moabit 96 a, D-10559 Berli,

More information

Neolane Social Marketing. Neolane v6.1

Neolane Social Marketing. Neolane v6.1 Neolae Social Marketig Neolae v6.1 This documet, ad the software it describes, are provided subject to a Licese Agreemet ad may ot be used or copied outside of the provisios of the Licese Agreemet. No

More information

Computers and Scientific Thinking

Computers and Scientific Thinking Computers ad Scietific Thikig David Reed, Creighto Uiversity Chapter 15 JavaScript Strigs 1 Strigs as Objects so far, your iteractive Web pages have maipulated strigs i simple ways use text box to iput

More information

Human-Computer Interaction IS4300

Human-Computer Interaction IS4300 Huma-Computer Iteractio IS4300 1 I5 due ext class Your missio i this exercise is to implemet a very simple Java paitig applicatio. The app must support the followig fuctios: Draw curves, specified by a

More information

Elementary Educational Computer

Elementary Educational Computer Chapter 5 Elemetary Educatioal Computer. Geeral structure of the Elemetary Educatioal Computer (EEC) The EEC coforms to the 5 uits structure defied by vo Neuma's model (.) All uits are preseted i a simplified

More information

Web OS Switch Software

Web OS Switch Software Web OS Switch Software BBI Quick Guide Nortel Networks Part Number: 213164, Revisio A, July 2000 50 Great Oaks Boulevard Sa Jose, Califoria 95119 408-360-5500 Mai 408-360-5501 Fax www.orteletworks.com

More information

An Improved Shuffled Frog-Leaping Algorithm for Knapsack Problem

An Improved Shuffled Frog-Leaping Algorithm for Knapsack Problem A Improved Shuffled Frog-Leapig Algorithm for Kapsack Problem Zhoufag Li, Ya Zhou, ad Peg Cheg School of Iformatio Sciece ad Egieerig Hea Uiversity of Techology ZhegZhou, Chia lzhf1978@126.com Abstract.

More information

VISUALSLX AN OPEN USER SHELL FOR HIGH-PERFORMANCE MODELING AND SIMULATION. Thomas Wiedemann

VISUALSLX AN OPEN USER SHELL FOR HIGH-PERFORMANCE MODELING AND SIMULATION. Thomas Wiedemann Proceedigs of the 2000 Witer Simulatio Coferece J. A. Joies, R. R. Barto, K. Kag, ad P. A. Fishwick, eds. VISUALSLX AN OPEN USER SHELL FOR HIGH-PERFORMANCE MODELING AND SIMULATION Thomas Wiedema Techical

More information

Baan Finance Financial Statements

Baan Finance Financial Statements Baa Fiace Fiacial Statemets Module Procedure UP041A US Documetiformatio Documet Documet code : UP041A US Documet group : User Documetatio Documet title : Fiacial Statemets Applicatio/Package : Baa Fiace

More information

Global Support Guide. Verizon WIreless. For the BlackBerry 8830 World Edition Smartphone and the Motorola Z6c

Global Support Guide. Verizon WIreless. For the BlackBerry 8830 World Edition Smartphone and the Motorola Z6c Verizo WIreless Global Support Guide For the BlackBerry 8830 World Editio Smartphoe ad the Motorola Z6c For complete iformatio o global services, please refer to verizowireless.com/vzglobal. Whether i

More information

Chapter 9. Pointers and Dynamic Arrays. Copyright 2015 Pearson Education, Ltd.. All rights reserved.

Chapter 9. Pointers and Dynamic Arrays. Copyright 2015 Pearson Education, Ltd.. All rights reserved. Chapter 9 Poiters ad Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 9.1 Poiters 9.2 Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Slide 9-3

More information

n Learn how resiliency strategies reduce risk n Discover automation strategies to reduce risk

n Learn how resiliency strategies reduce risk n Discover automation strategies to reduce risk Chapter Objectives Lear how resiliecy strategies reduce risk Discover automatio strategies to reduce risk Chapter #16: Architecture ad Desig Resiliecy ad Automatio Strategies 2 Automatio/Scriptig Resiliet

More information

BAAN IVc/BaanERP. Conversion Guide Oracle7 to Oracle8

BAAN IVc/BaanERP. Conversion Guide Oracle7 to Oracle8 BAAN IVc/BaaERP A publicatio of: Baa Developmet B.V. P.O.Box 143 3770 AC Bareveld The Netherlads Prited i the Netherlads Baa Developmet B.V. 1999. All rights reserved. The iformatio i this documet is subject

More information

UNIVERSITY OF MORATUWA

UNIVERSITY OF MORATUWA UNIVERSITY OF MORATUWA FACULTY OF ENGINEERING DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING B.Sc. Egieerig 2014 Itake Semester 2 Examiatio CS2052 COMPUTER ARCHITECTURE Time allowed: 2 Hours Jauary 2016

More information

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 22 Database Recovery Techiques Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Recovery algorithms Recovery cocepts Write-ahead

More information

Małgorzata Sterna. Mateusz Cicheński, Mateusz Jarus, Michał Miszkiewicz, Jarosław Szymczak

Małgorzata Sterna. Mateusz Cicheński, Mateusz Jarus, Michał Miszkiewicz, Jarosław Szymczak Małgorzata Stera Mateusz Cicheński, Mateusz Jarus, Michał Miszkiewicz, Jarosław Szymczak Istitute of Computig Sciece Pozań Uiversity of Techology Pozań - Polad Scope of the Talk Problem defiitio MP Formulatio

More information

BEA elink Business Process Option User s Guide

BEA elink Business Process Option User s Guide BEA elik Busiess Process Optio User s Guide BEA elik Busiess Process Optio 1.2 Documet Editio 1.2 February 2000 Copyright Copyright 2000 BEA Systems, Ic. All Rights Reserved. Restricted Rights Leged This

More information

Bayesian approach to reliability modelling for a probability of failure on demand parameter

Bayesian approach to reliability modelling for a probability of failure on demand parameter Bayesia approach to reliability modellig for a probability of failure o demad parameter BÖRCSÖK J., SCHAEFER S. Departmet of Computer Architecture ad System Programmig Uiversity Kassel, Wilhelmshöher Allee

More information

GE FUNDAMENTALS OF COMPUTING AND PROGRAMMING UNIT III

GE FUNDAMENTALS OF COMPUTING AND PROGRAMMING UNIT III GE2112 - FUNDAMENTALS OF COMPUTING AND PROGRAMMING UNIT III PROBLEM SOLVING AND OFFICE APPLICATION SOFTWARE Plaig the Computer Program Purpose Algorithm Flow Charts Pseudocode -Applicatio Software Packages-

More information

Requirements Analysis

Requirements Analysis Iformatio Systems Cocepts Requiremets Aalysis Roma Kotchakov Birkbeck, Uiversity of Lodo Based o Chapter 7 of Beett, McRobb ad Farmer: Object Orieted Systems Aalysis ad Desig Usig UML, (4th Editio), McGraw

More information

Introduction. Nature-Inspired Computing. Terminology. Problem Types. Constraint Satisfaction Problems - CSP. Free Optimization Problem - FOP

Introduction. Nature-Inspired Computing. Terminology. Problem Types. Constraint Satisfaction Problems - CSP. Free Optimization Problem - FOP Nature-Ispired Computig Hadlig Costraits Dr. Şima Uyar September 2006 Itroductio may practical problems are costraied ot all combiatios of variable values represet valid solutios feasible solutios ifeasible

More information

Consider the following population data for the state of California. Year Population

Consider the following population data for the state of California. Year Population Assigmets for Bradie Fall 2016 for Chapter 5 Assigmet sheet for Sectios 5.1, 5.3, 5.5, 5.6, 5.7, 5.8 Read Pages 341-349 Exercises for Sectio 5.1 Lagrage Iterpolatio #1, #4, #7, #13, #14 For #1 use MATLAB

More information

BEA WebLogic XML/Non-XML Translator

BEA WebLogic XML/Non-XML Translator BEA WebLogic XML/No-XML Traslator A Compoet of BEA WebLogic Itegratio User Guide BEA WebLogic XML/No-XML Traslator Release 2.0 Documet Editio 2.0 July 2001 Copyright Copyright 2001 BEA Systems, Ic. All

More information

Extending The Sleuth Kit and its Underlying Model for Pooled Storage File System Forensic Analysis

Extending The Sleuth Kit and its Underlying Model for Pooled Storage File System Forensic Analysis Extedig The Sleuth Kit ad its Uderlyig Model for Pooled File System Foresic Aalysis Frauhofer Istitute for Commuicatio, Iformatio Processig ad Ergoomics Ja-Niclas Hilgert* Marti Lambertz Daiel Plohma ja-iclas.hilgert@fkie.frauhofer.de

More information

New HSL Distance Based Colour Clustering Algorithm

New HSL Distance Based Colour Clustering Algorithm The 4th Midwest Artificial Itelligece ad Cogitive Scieces Coferece (MAICS 03 pp 85-9 New Albay Idiaa USA April 3-4 03 New HSL Distace Based Colour Clusterig Algorithm Vasile Patrascu Departemet of Iformatics

More information

Adapter for Mainframe

Adapter for Mainframe BEA WebLogic Java Adapter for Maiframe Workflow Processig Guide Release 5.0 Documet Date: Jauary 2002 Copyright Copyright 2002 BEA Systems, Ic. All Rights Reserved. Restricted Rights Leged This software

More information

Modeling a Software Architecture. Paolo Ciancarini

Modeling a Software Architecture. Paolo Ciancarini Modelig a Software Architecture Paolo Ciacarii Ageda Describig software architectures Architectural frameworks Models based o architectural laguages Models based o UML Mai architectural views 2 Why documet

More information

IMP: Superposer Integrated Morphometrics Package Superposition Tool

IMP: Superposer Integrated Morphometrics Package Superposition Tool IMP: Superposer Itegrated Morphometrics Package Superpositio Tool Programmig by: David Lieber ( 03) Caisius College 200 Mai St. Buffalo, NY 4208 Cocept by: H. David Sheets, Dept. of Physics, Caisius College

More information

DESIGN AND ANALYSIS OF LDPC DECODERS FOR SOFTWARE DEFINED RADIO

DESIGN AND ANALYSIS OF LDPC DECODERS FOR SOFTWARE DEFINED RADIO DESIGN AND ANALYSIS OF LDPC DECODERS FOR SOFTWARE DEFINED RADIO Sagwo Seo, Trevor Mudge Advaced Computer Architecture Laboratory Uiversity of Michiga at A Arbor {swseo, tm}@umich.edu Yumig Zhu, Chaitali

More information

An Estimation of Distribution Algorithm for solving the Knapsack problem

An Estimation of Distribution Algorithm for solving the Knapsack problem Vol.4,No.5, 214 Published olie: May 25, 214 DOI: 1.7321/jscse.v4.5.1 A Estimatio of Distributio Algorithm for solvig the Kapsack problem 1 Ricardo Pérez, 2 S. Jös, 3 Arturo Herádez, 4 Carlos A. Ochoa *1,

More information

Relay Placement Based on Divide-and-Conquer

Relay Placement Based on Divide-and-Conquer Relay Placemet Based o Divide-ad-Coquer Ravabakhsh Akhlaghiia, Azadeh Kaviafar, ad Mohamad Javad Rostami, Member, IACSIT Abstract I this paper, we defie a relay placemet problem to cover a large umber

More information

A Taste of Maya. Character Setup

A Taste of Maya. Character Setup This tutorial goes through the steps to add aimatio cotrols to a previously modeled character. The character i the scee below is wearig clothes made with Cloth ad the sceery has bee created with Pait Effects.

More information

Getting Started. Getting Started - 1

Getting Started. Getting Started - 1 Gettig Started Gettig Started - 1 Issue 1 Overview of Gettig Started Overview of Gettig Started This sectio explais the basic operatios of the AUDIX system. It describes how to: Log i ad log out of the

More information

CMSC Computer Architecture Lecture 12: Virtual Memory. Prof. Yanjing Li University of Chicago

CMSC Computer Architecture Lecture 12: Virtual Memory. Prof. Yanjing Li University of Chicago CMSC 22200 Computer Architecture Lecture 12: Virtual Memory Prof. Yajig Li Uiversity of Chicago A System with Physical Memory Oly Examples: most Cray machies early PCs Memory early all embedded systems

More information

Oracle Process Manufacturing

Oracle Process Manufacturing Oracle Process Maufacturig Product Developmet Recipe API User s Guide Release 11i Part No. A97387-04 Jauary 2005 Oracle Process Maufacturig Product Developmet Recipe API User s Guide, Release 11i Part

More information

Load balanced Parallel Prime Number Generator with Sieve of Eratosthenes on Cluster Computers *

Load balanced Parallel Prime Number Generator with Sieve of Eratosthenes on Cluster Computers * Load balaced Parallel Prime umber Geerator with Sieve of Eratosthees o luster omputers * Soowook Hwag*, Kyusik hug**, ad Dogseug Kim* *Departmet of Electrical Egieerig Korea Uiversity Seoul, -, Rep. of

More information

MATHEMATICAL METHODS OF ANALYSIS AND EXPERIMENTAL DATA PROCESSING (Or Methods of Curve Fitting)

MATHEMATICAL METHODS OF ANALYSIS AND EXPERIMENTAL DATA PROCESSING (Or Methods of Curve Fitting) MATHEMATICAL METHODS OF ANALYSIS AND EXPERIMENTAL DATA PROCESSING (Or Methods of Curve Fittig) I this chapter, we will eamie some methods of aalysis ad data processig; data obtaied as a result of a give

More information

Configuring Rational Suite

Configuring Rational Suite Cofigurig Ratioal Suite Product Versio Ratioal Suite 2000.02.10 Release Date April 2000 Part Number 800-023317-000 support@ratioal.com http://www.ratioal.com IMPORTANT NOTICE Copyright Notice Copyright

More information

Handwriting Stroke Extraction Using a New XYTC Transform

Handwriting Stroke Extraction Using a New XYTC Transform Hadwritig Stroke Etractio Usig a New XYTC Trasform Gilles F. Houle 1, Kateria Bliova 1 ad M. Shridhar 1 Computer Scieces Corporatio Uiversity Michiga-Dearbor Abstract: The fudametal represetatio of hadwritig

More information

BAAN IVb/c. Structure, master data, and configuration of BEMIS

BAAN IVb/c. Structure, master data, and configuration of BEMIS BAAN IVb/c Structure, master data, ad cofiguratio of BEMIS A publicatio of: Baa Developmet BV POBox 143 3770 AC Bareveld The Netherlads Prited i the Netherlads Baa Developmet BV 1998 All rights reserved

More information

Solving Fuzzy Assignment Problem Using Fourier Elimination Method

Solving Fuzzy Assignment Problem Using Fourier Elimination Method Global Joural of Pure ad Applied Mathematics. ISSN 0973-768 Volume 3, Number 2 (207), pp. 453-462 Research Idia Publicatios http://www.ripublicatio.com Solvig Fuzzy Assigmet Problem Usig Fourier Elimiatio

More information

A SOFTWARE MODEL FOR THE MULTILAYER PERCEPTRON

A SOFTWARE MODEL FOR THE MULTILAYER PERCEPTRON A SOFTWARE MODEL FOR THE MULTILAYER PERCEPTRON Roberto Lopez ad Eugeio Oñate Iteratioal Ceter for Numerical Methods i Egieerig (CIMNE) Edificio C1, Gra Capitá s/, 08034 Barceloa, Spai ABSTRACT I this work

More information

User Guide. Using Caliber Datamart

User Guide. Using Caliber Datamart User Guide Usig Caliber Datamart 11.1.0 Copyright 2013 Micro Focus. All Rights Reserved. Portios Copyright 1998-2009 Borlad Software Corporatio (a Micro Focus compay). All other marks are the property

More information

Using VTR Emulation on Avid Systems

Using VTR Emulation on Avid Systems Usig VTR Emulatio o Avid Systems VTR emulatio allows you to cotrol a sequece loaded i the Record moitor from a edit cotroller for playback i the edit room alog with other sources. I this sceario the edit

More information

Model Based Design: develpment of Electronic Systems

Model Based Design: develpment of Electronic Systems Model Based Desig: develpmet of Electroic Systems Stuttgart 16 Jue 2004 Ageda Model Based Desig: purposes ad process Model Based Desig: vehicle developmet process Tools Fuctioal Requiremets: Structure

More information

Modern Systems Analysis and Design Seventh Edition

Modern Systems Analysis and Design Seventh Edition Moder Systems Aalysis ad Desig Seveth Editio Jeffrey A. Hoffer Joey F. George Joseph S. Valacich Desigig Databases Learig Objectives ü Cocisely defie each of the followig key database desig terms: relatio,

More information

Math Section 2.2 Polynomial Functions

Math Section 2.2 Polynomial Functions Math 1330 - Sectio. Polyomial Fuctios Our objectives i workig with polyomial fuctios will be, first, to gather iformatio about the graph of the fuctio ad, secod, to use that iformatio to geerate a reasoably

More information

Humans are visual creatures, so it isn t surprising that we want to

Humans are visual creatures, so it isn t surprising that we want to Gettig Started with Visio Humas are visual creatures, so it is t surprisig that we wat to visualize our ideas, desigs, ad fial products ad commuicate them graphically. I the past, high-quality presetatios

More information

Pattern Recognition Systems Lab 1 Least Mean Squares

Pattern Recognition Systems Lab 1 Least Mean Squares Patter Recogitio Systems Lab 1 Least Mea Squares 1. Objectives This laboratory work itroduces the OpeCV-based framework used throughout the course. I this assigmet a lie is fitted to a set of poits usig

More information

EE 459/500 HDL Based Digital Design with Programmable Logic. Lecture 13 Control and Sequencing: Hardwired and Microprogrammed Control

EE 459/500 HDL Based Digital Design with Programmable Logic. Lecture 13 Control and Sequencing: Hardwired and Microprogrammed Control EE 459/500 HDL Based Digital Desig with Programmable Logic Lecture 13 Cotrol ad Sequecig: Hardwired ad Microprogrammed Cotrol Refereces: Chapter s 4,5 from textbook Chapter 7 of M.M. Mao ad C.R. Kime,

More information

How do we evaluate algorithms?

How do we evaluate algorithms? F2 Readig referece: chapter 2 + slides Algorithm complexity Big O ad big Ω To calculate ruig time Aalysis of recursive Algorithms Next time: Litterature: slides mostly The first Algorithm desig methods:

More information