ETAtouch RESTful Webservices

Size: px
Start display at page:

Download "ETAtouch RESTful Webservices"

Transcription

1 ETAtouch RESTful Webservces Verson 1.1 November 8, 2012

2 Contents 1 Introducton 3 2 The resource /user/ap HTTP GET HTTP POST HTTP PUT HTTP DELETE The resource /user/menu HTTP GET HTTP POST HTTP PUT HTTP DELETE The resource /user/var HTTP GET HTTP POST HTTP PUT HTTP DELETE The resource /user/vars HTTP GET HTTP POST HTTP PUT HTTP DELETE The resource /user/errors HTTP GET HTTP POST HTTP PUT HTTP DELETE

3 1 Introducton The ETAtouch devce offers several web servces to get access to the nternal CAN subsystem. The webservces are mplemented usng the REST archtectural style 1. Ths allows the user to retreve nformatons n a network-compatble, platform ndependent and programmng language ndependent way. You can access the webservces of your ETAtouch devce by sendng your requests to port 8080 usng the HTTP protocol: In order to use the ETAtouch webservces you must have ensured the followng precondtons (take care of the sequence): 1. You must have nstalled system software verson or hgher on your ETAtouch devce. 2. You must have regstered your ETAtouch devce at 3. You must have appled for LAN access at for your ETAtouch devce. 4. You must have actvated LAN access on your ETAtouch devce n the system settngs. Fgure 1 shows a use case dagram of the ETAtouch RESTful webservces. Fgure 2 shows a typcal sequence of requestng the menu tree whch can be seen n the tree vew on your ETAtouch devce

4 ETAtouch Read menu tree «extends» Read varable Varable operatons «extends» Set varable User Read actve errors Create varable set «extends» «extends» Read varable set Varable set operatons «extends» Delete varable set «extends» «extends» Add varable Remove varable Fgure 1: Use cases of ETAtouch RESTful webservces. 4

5 sd ETAtouch REST c:httpclent s:etatouch GET HTTP/1.1 xmlresponse: XmlResponse Content-Type: applcaton/xml <menu> <fub ur="/112/10021" name="kessel"> <object ur="/112/10021/0/0/12010" name="counters"> <object ur="/112/10021/0/0/12153" name="full load hours"/>... </fub> </menu> new :XmlParser parse(xmlresponse) Fgure 2: Typcal sequence of gettng the menu tree. After requestng the menu resource, the web servce responses wth the menu tree n XML format whch can be processed by the clent. 5

6 2 The resource /user/ap Ths resource returns the verson of the API. 2.1 HTTP GET Usng HTTP GET you can read the current API verson. Example 1 Read the API verson number. GET /user/ap HTTP/1.1 Content-Type: applcaton/xml <ap verson="1.1" /> 2.2 HTTP POST Ths method s not supported by ths ressource. 2.3 HTTP PUT Ths method s not supported by ths ressource. 2.4 HTTP DELETE Ths method s not supported by ths ressource. 3 The resource /user/menu Ths resource dentfes the menu tree whch you can see on the touch dsplay n the tree vew. 3.1 HTTP GET Usng HTTP GET you can read the menu tree as you can see t on the touch screen. Grouped by the varous functonal blocks you can fnd the partcular objects n a herarchcal order. 6

7 Example 1 Retreve the menu tree. GET /user/menu HTTP/1.1 Content-Type: applcaton/xml <menu> <fub ur="/112/10021" name="kessel"> <object ur="/112/10021/0/0/12010" name="counters"> <object ur="/112/10021/0/0/12153" name="full load hours"/>... </object> <object ur="/112/10021/0/0/12182" name="mscellaneous"> <object ur="/112/10021/0/0/12080" name="i/o key"/> <object ur="/112/10021/0/0/12112" name="ash removal key"/> <object ur="/112/10021/0/0/12115" name="emsson Measurement"/> <object ur="/112/10021/0/0/12152" name="feedng tme"/> </object> </fub> </menu> 3.2 HTTP POST Ths method s not supported by ths ressource. 3.3 HTTP PUT Ths method s not supported by ths ressource. 3.4 HTTP DELETE Ths method s not supported by ths ressource. 4 The resource /user/var Ths resource dentfes a varable n the CAN system. 7

8 4.1 HTTP GET Usng HTTP GET you can read a varable s value. Each varable s defned by a unque address n the CAN system. Ths address can be determned by evaluatng the menu tree. Followng you can see a snppet from the menu tree. 1 <o b j e c t u r = /112/10021/0/0/12182 name= Mscellaneous > <o b j e c t u r = /112/10021/0/0/12112 name= Ash removal key /> </ o b j e c t> Based on the XML snppet above, you can fnd the address 112/10021/0/0/12112 whch dentfes the ash removal key. Example 1 Read the state of the ash removal key on CAN node 112 and Fub-ID GET /user/var/112/10021/0/0/12112 HTTP/1.1 Content-Type: applcaton/xml <value ur="/user/var/112/10021/0/0/12112" strvalue="off" unt="" decplaces="0" scalefactor="1" advtextoffset="1802">1802</value> As you can see, the resultng XML document contans an element named <value>. The content of ths element s the varable s raw value. Please refer to table 1 for a descrpton of the attrbutes. 4.2 HTTP POST Usng HTTP POST you can set a varable to a certan value. Note, that you have to provde the the varable s raw value (wthout scalng)! If a varable wth tme nterval datatype should be set, value, begn and end parameters must be provded. The begn and end tme are ntegral multples of 15 mnutes snce mdnght. Ths mples a vald range of [0, 96] for begn and end. Note: The feature of settng the tme slots requres an API verson of 1.1 or hgher (avalable snce system software verson / or hgher). 8

9 Attrbute ur strvalue unt decplaces scalefactor advtextoffset Descrpton Ths s the requested URI. The varable s value as formatted strng. The varable s unt as strng. The number of decmal places. The scale factor for processng the raw value. The offset of text varables. If you read a text varable (e.g. the ash removal key) you can subtract ths value from the varable s raw value n order to get a value from [0, max] for e.g. boolean evaluatons. Table 1: Descrpton of XML attrbutes of element <value>. Example 1 Set the deash key to On. POST /user/var/112/10021/0/0/12112 HTTP/1.1 Content-Type: applcaton/x-www-form-urlencoded value=1803 Content-Type: applcaton/xml <success ur="/user/var/112/10021/0/0/12112"/> Example 2 Set monday s tme slot 1 of the hot water tank s chargng tmes to 00:00-12:00, 40 degrees: POST /user/var/112/10111/12130/0/1082 HTTP/1.1 Content-Type: applcaton/x-www-form-urlencoded value=400&begn=0&end=48 9

10 Content-Type: applcaton/xml <success ur="/user/var/112/10111/12130/0/1082"/> 4.3 HTTP PUT Ths method s not supported by ths ressource. 4.4 HTTP DELETE Ths method s not supported by ths ressource. 5 The resource /user/vars Ths resource dentfes a set of varables. It allows you to defne your own named varable set whch acts as a contaner for dfferent sngle varables. Havng once created a varable set you can add or remove arbtrary varables from the CAN system to ths set. The name of a varable set must match the followng regular expresson: 5.1 HTTP GET [a za Z0 9] + Usng HTTP GET you can request two resources. (see table 2). Resource /user/vars /user/vars/{varset} Descrpton Get a lst of all defned varable sets. Read all varables from the specfed varable set Varset. Table 2: Descrpton of resources under /user/vars. Example 1 Get a lst of defned varable sets. GET /user/vars HTTP/1.1 10

11 Content-Type: applcaton/xml <vars ur="/user/vars/myset1"/> Example 2 Read varable set myset1. GET /user/vars/myset1 HTTP/1.1 Content-Type: applcaton/xml <vars ur="/user/vars/myset1"> <varable ur="112/10021/0/0/12112" strvalue="off" unt="" decplaces="0" scalefactor="1" advtextoffset="1802">1802</varable> </vars> 5.2 HTTP POST Ths method s not supported by ths ressource. 5.3 HTTP PUT HTTP PUT s used to create resources on the server. The semantcs of HTTP PUT depends on your requested URI (see table 3). Example 1 Create a new varable set named myset1. PUT /user/vars/myset1 HTTP/1.1 HTTP/ Created 11

12 Resource /user/vars/{varset} /user/vars/{varset}/{node-id}/{fub- ID}/{Fkt-ID}/{Io-ID}/{Var-ID} Descrpton Create a new varable set named Varset. Add the varable specfed by the address Node-ID/Fub-ID/Fkt-ID/Io-ID/Var- ID to the varable set named Varset. Table 3: Descrpton of resources under /user/vars. Content-Type: applcaton/xml <success ur="/user/vars/myset1"/> Example 2 Add the varable 112/10021/0/0/12112 to the varable set myset1. PUT /user/vars/myset1/112/10021/0/0/12112 HTTP/1.1 HTTP/ Created Content-Type: applcaton/xml <success ur="/user/vars/myset1/112/10021/0/0/12112"/> 5.4 HTTP DELETE HTTP DELETE s used to delete resources on the server. The semantcs of HTTP DELETE depends on your requested URI (see table 4). If you do not need a varable set any more your clent software should ensure, that all created varable sets are deleted n order to avod resource conflcts. Example 1 Remove the varable 112/10021/0/0/12112 from the varable set myset1. DELETE /user/vars/myset1/112/10021/0/0/12112 HTTP/1.1 12

13 Resource /user/vars/{varset} /user/vars/{varset}/{node-id}/{fub- ID}/{Fkt-ID}/{Io-ID}/{Var-ID} Descrpton Delete the varable set named Varset. Remove the varable specfed by the address Node-ID/Fub-ID/Fkt-ID/Io-ID/Var- ID from the varable set named Varset. Table 4: Descrpton of resources under /user/vars. Content-Type: applcaton/xml <success ur="/user/vars/myset1/112/10021/0/0/12112"/> Example 2 Delete the varable set myset1. DELETE /user/vars/myset1 HTTP/1.1 Content-Type: applcaton/xml <success ur="/user/vars/myset1"/> 6 The resource /user/errors Ths resource dentfes the actve errors n the CAN system. 6.1 HTTP GET Usng HTTP GET you can read the actve errors. A descrpton of the resources can be found n table 5. 13

14 Resource /user/errors /user/errors/{node-id} /user/errors/{node-id}/{fub-id} Descrpton Retreve all actve errors from the CAN system. Retreve all actve errors from the CAN node wth node number Node-ID. Retreve all actve errors from functonal block Fub-ID on the CAN node wth node number Node-ID. Table 5: Descrpton of resources under /user/errors. Example 1 Retreve all actve errors from the system. GET /user/errors HTTP/1.1 Content-Type: applcaton/xml <errors ur="/user/errors"> <fub ur="/112/10021" name="kessel"> <error msg="flue gas sensor Interrupted" prorty="error" tme=" :47:50">Sensor or Cable broken or badly connected </error> <error msg="water pressure too low 0,00 bar" prorty="error" tme=" :48:12">Top up heatng water! If ths warnng occurs more than once a year, please contact plumber. </error> </fub> <fub ur="/112/10101" name="hk1"/> </errors> Example 2 Retreve all actve errors from CAN node 112. GET /user/errors/112 HTTP/1.1 14

15 <errors ur="/user/errors/112"> <fub ur="/112/10021" name="kessel"> <error msg="flue gas sensor Interrupted" prorty="error" tme=" :47:50">Sensor or Cable broken or badly connected </error> <error msg="water pressure too low 0,00 bar" prorty="error" tme=" :48:12">Top up heatng water! If ths warnng occurs more than once a year, please contact plumber. </error> </fub> <fub ur="/112/10101" name="hk1"/> </errors> Example 3 Retreve all actve errors from functonal block on CAN node 112. GET /user/errors/112/10021 HTTP/1.1 Content-Type: applcaton/xml <errors ur="/user/errors"> <fub ur="/112/10021" name="kessel"> <error msg="flue gas sensor Interrupted" prorty="error" tme=" :47:50">Sensor or Cable broken or badly connected </error> <error msg="water pressure too low 0,00 bar" prorty="error" tme=" :48:12">Top up heatng water! If ths warnng occurs more than once a year, please contact plumber. </error> </fub> </errors> 6.2 HTTP POST Ths method s not supported by ths ressource. 15

16 6.3 HTTP PUT Ths method s not supported by ths ressource. 6.4 HTTP DELETE Ths method s not supported by ths ressource. 16

IP Camera Configuration Software Instruction Manual

IP Camera Configuration Software Instruction Manual IP Camera 9483 - Confguraton Software Instructon Manual VBD 612-4 (10.14) Dear Customer, Wth your purchase of ths IP Camera, you have chosen a qualty product manufactured by RADEMACHER. Thank you for the

More information

mquest Quickstart Version 11.0

mquest Quickstart Version 11.0 mquest Quckstart Verson 11.0 cluetec GmbH Emmy-Noether-Straße 17 76131 Karlsruhe Germany www.cluetec.de www.mquest.nfo cluetec GmbH Karlsruhe, 2016 Document verson 5 27.04.2016 16:59 > Propretary notce

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) ,

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) , VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory Background EECS. Operatng System Fundamentals No. Vrtual Memory Prof. Hu Jang Department of Electrcal Engneerng and Computer Scence, York Unversty Memory-management methods normally requres the entre process

More information

Product documentation. Issue:

Product documentation. Issue: Product documentaton Issue: 02.05.2017 Table of Contents Product documentaton 1 enet SMART HOME system... 5 1.1 System requrements... 5 1.2 Commssonng va... 5 1.3 Operaton va enet SMART HOME app... 7 2

More information

FIBARO WALL PLUG OPERATING MANUAL FGBWHWPE-102/FGBWHWPF-102 CONTENTS

FIBARO WALL PLUG OPERATING MANUAL FGBWHWPE-102/FGBWHWPF-102 CONTENTS OPERATING MANUAL EN FIBARO WALL PLUG FGBWHWPE-102/FGBWHWPF-102 CONTENTS #1: Descrpton and features 3 #2: Parng the accessory 4 #3: Reset 5 #4: Functonalty 6 v1.0 #5: W-F 8 #6: Confgurable parameters 9

More information

Security. Workplace Manager

Security. Workplace Manager User Gude Manageablty and Securty Workplace Manager Congratulatons on your purchase of an nnovatve product from Fujtsu. The latest nformaton about our products, tps, updates etc. can be found on the Internet

More information

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009.

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009. Farrukh Jabeen Algorthms 51 Assgnment #2 Due Date: June 15, 29. Assgnment # 2 Chapter 3 Dscrete Fourer Transforms Implement the FFT for the DFT. Descrbed n sectons 3.1 and 3.2. Delverables: 1. Concse descrpton

More information

Wightman. Mobility. Quick Reference Guide THIS SPACE INTENTIONALLY LEFT BLANK

Wightman. Mobility. Quick Reference Guide THIS SPACE INTENTIONALLY LEFT BLANK Wghtman Moblty Quck Reference Gude THIS SPACE INTENTIONALLY LEFT BLANK WIGHTMAN MOBILITY BASICS How to Set Up Your Vocemal 1. On your phone s dal screen, press and hold 1 to access your vocemal. If your

More information

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz Compler Desgn Sprng 2014 Regster Allocaton Sample Exercses and Solutons Prof. Pedro C. Dnz USC / Informaton Scences Insttute 4676 Admralty Way, Sute 1001 Marna del Rey, Calforna 90292 pedro@s.edu Regster

More information

Storage Binding in RTL synthesis

Storage Binding in RTL synthesis Storage Bndng n RTL synthess Pe Zhang Danel D. Gajsk Techncal Report ICS-0-37 August 0th, 200 Center for Embedded Computer Systems Department of Informaton and Computer Scence Unersty of Calforna, Irne

More information

An Entropy-Based Approach to Integrated Information Needs Assessment

An Entropy-Based Approach to Integrated Information Needs Assessment Dstrbuton Statement A: Approved for publc release; dstrbuton s unlmted. An Entropy-Based Approach to ntegrated nformaton Needs Assessment June 8, 2004 Wllam J. Farrell Lockheed Martn Advanced Technology

More information

F-5000 View Software Installation and Operation Guide Belcher Road South, Largo, FL USA Tel +1 (727) Fax +1 (727)

F-5000 View Software Installation and Operation Guide Belcher Road South, Largo, FL USA Tel +1 (727) Fax +1 (727) ONICON Flow and Energy Measurement F-5000 Vew Software Installaton and Operaton Gude 11451 Belcher Road South, Largo, FL 33773 USA Tel +1 (727) 447-6140 Fax +1 (727)442-5699 2032-1 / 107050 Rev B www.oncon.com

More information

DLK Pro the all-rounder for mobile data downloading. Tailor-made for various requirements.

DLK Pro the all-rounder for mobile data downloading. Tailor-made for various requirements. DLK Pro the all-rounder for moble data downloadng Talor-made for varous requrements www.dtco.vdo.com Smply brllant, brllantly smple Always the rght soluton The DLK Pro s the VDO product famly, whch sets

More information

TN348: Openlab Module - Colocalization

TN348: Openlab Module - Colocalization TN348: Openlab Module - Colocalzaton Topc The Colocalzaton module provdes the faclty to vsualze and quantfy colocalzaton between pars of mages. The Colocalzaton wndow contans a prevew of the two mages

More information

with Optic65 and Optic25 Cameras FOR OUTDOOR TRACKING ONLY unless used in conjunction with the Indoor Tracking Accessory.

with Optic65 and Optic25 Cameras FOR OUTDOOR TRACKING ONLY unless used in conjunction with the Indoor Tracking Accessory. wth Optc6 and Optc Cameras Quck Start Gude FOR OUTDOOR TRACKING ONLY unless used n conjuncton wth the Indoor Trackng Accessory. CONGRATULATIONS ON SCORING YOUR SOLOSHOT Our category-creatng lne of personal

More information

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices Steps for Computng the Dssmlarty, Entropy, Herfndahl-Hrschman and Accessblty (Gravty wth Competton) Indces I. Dssmlarty Index Measurement: The followng formula can be used to measure the evenness between

More information

Oracle Database: SQL and PL/SQL Fundamentals Certification Course

Oracle Database: SQL and PL/SQL Fundamentals Certification Course Oracle Database: SQL and PL/SQL Fundamentals Certfcaton Course 1 Duraton: 5 Days (30 hours) What you wll learn: Ths Oracle Database: SQL and PL/SQL Fundamentals tranng delvers the fundamentals of SQL and

More information

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty

More information

Lecture 5: Multilayer Perceptrons

Lecture 5: Multilayer Perceptrons Lecture 5: Multlayer Perceptrons Roger Grosse 1 Introducton So far, we ve only talked about lnear models: lnear regresson and lnear bnary classfers. We noted that there are functons that can t be represented

More information

A RECONFIGURABLE ARCHITECTURE FOR MULTI-GIGABIT SPEED CONTENT-BASED ROUTING. James Moscola, Young H. Cho, John W. Lockwood

A RECONFIGURABLE ARCHITECTURE FOR MULTI-GIGABIT SPEED CONTENT-BASED ROUTING. James Moscola, Young H. Cho, John W. Lockwood A RECONFIGURABLE ARCHITECTURE FOR MULTI-GIGABIT SPEED CONTENT-BASED ROUTING James Moscola, Young H. Cho, John W. Lockwood Dept. of Computer Scence and Engneerng Washngton Unversty, St. Lous, MO {jmm5,

More information

6.854 Advanced Algorithms Petar Maymounkov Problem Set 11 (November 23, 2005) With: Benjamin Rossman, Oren Weimann, and Pouya Kheradpour

6.854 Advanced Algorithms Petar Maymounkov Problem Set 11 (November 23, 2005) With: Benjamin Rossman, Oren Weimann, and Pouya Kheradpour 6.854 Advanced Algorthms Petar Maymounkov Problem Set 11 (November 23, 2005) Wth: Benjamn Rossman, Oren Wemann, and Pouya Kheradpour Problem 1. We reduce vertex cover to MAX-SAT wth weghts, such that the

More information

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance Tsnghua Unversty at TAC 2009: Summarzng Mult-documents by Informaton Dstance Chong Long, Mnle Huang, Xaoyan Zhu State Key Laboratory of Intellgent Technology and Systems, Tsnghua Natonal Laboratory for

More information

Programming in Fortran 90 : 2017/2018

Programming in Fortran 90 : 2017/2018 Programmng n Fortran 90 : 2017/2018 Programmng n Fortran 90 : 2017/2018 Exercse 1 : Evaluaton of functon dependng on nput Wrte a program who evaluate the functon f (x,y) for any two user specfed values

More information

News. Recap: While Loop Example. Reading. Recap: Do Loop Example. Recap: For Loop Example

News. Recap: While Loop Example. Reading. Recap: Do Loop Example. Recap: For Loop Example Unversty of Brtsh Columba CPSC, Intro to Computaton Jan-Apr Tamara Munzner News Assgnment correctons to ASCIIArtste.java posted defntely read WebCT bboards Arrays Lecture, Tue Feb based on sldes by Kurt

More information

InfoTerminal Touch Installation Instructions

InfoTerminal Touch Installation Instructions Order no.: 2071 xx 1. Safety warnngs Electrcal equpment must be nstalled and ftted by qualfed electrcans only and n strct observance of the relevant accdent preventon regulatons. Cut out the crcut breaker

More information

CHARUTAR VIDYA MANDAL S SEMCOM Vallabh Vidyanagar

CHARUTAR VIDYA MANDAL S SEMCOM Vallabh Vidyanagar CHARUTAR VIDYA MANDAL S SEMCOM Vallabh Vdyanagar Faculty Name: Am D. Trved Class: SYBCA Subject: US03CBCA03 (Advanced Data & Fle Structure) *UNIT 1 (ARRAYS AND TREES) **INTRODUCTION TO ARRAYS If we want

More information

MODELING THE RELIABILITY OF INFORMATION MANAGEMENT SYSTEMS BASED ON MISSION SPECIFIC TOOLS SET SOFTWARE

MODELING THE RELIABILITY OF INFORMATION MANAGEMENT SYSTEMS BASED ON MISSION SPECIFIC TOOLS SET SOFTWARE Knowledge Dynamcs MODELING THE ELIABILITY OF INFOMATION MANAGEMENT SYSTEMS BASED ON MISSION SPECIFIC TOOLS SET SOFTWAE Cezar VASILESCU Assocate Professor, egonal Department of Defense esources Management

More information

Configuration guide. PlantWatchPRO. supervisor for small-medium installations LEGGI E CONSERVA QUESTE ISTRUZIONI READ AND SAVE THESE INSTRUCTIONS.

Configuration guide. PlantWatchPRO. supervisor for small-medium installations LEGGI E CONSERVA QUESTE ISTRUZIONI READ AND SAVE THESE INSTRUCTIONS. 30/06/2006 30/06/2006 30/06/2006 30/06/2006 16:36:16 16:36:16 16:36:16 16:36:16 X X X 30/06/2006 30/06/2006 30/06/2006 30/06/2006 16:36:16 16:36:16 16:36:16 16:36:16 X X 30/06/2006 16:36:16 16:36:16 16:36:16

More information

CMPS 10 Introduction to Computer Science Lecture Notes

CMPS 10 Introduction to Computer Science Lecture Notes CPS 0 Introducton to Computer Scence Lecture Notes Chapter : Algorthm Desgn How should we present algorthms? Natural languages lke Englsh, Spansh, or French whch are rch n nterpretaton and meanng are not

More information

Array transposition in CUDA shared memory

Array transposition in CUDA shared memory Array transposton n CUDA shared memory Mke Gles February 19, 2014 Abstract Ths short note s nspred by some code wrtten by Jeremy Appleyard for the transposton of data through shared memory. I had some

More information

Motivation. EE 457 Unit 4. Throughput vs. Latency. Performance Depends on View Point?! Computer System Performance. An individual user wants to:

Motivation. EE 457 Unit 4. Throughput vs. Latency. Performance Depends on View Point?! Computer System Performance. An individual user wants to: 4.1 4.2 Motvaton EE 457 Unt 4 Computer System Performance An ndvdual user wants to: Mnmze sngle program executon tme A datacenter owner wants to: Maxmze number of Mnmze ( ) http://e-tellgentnternetmarketng.com/webste/frustrated-computer-user-2/

More information

Specifications in 2001

Specifications in 2001 Specfcatons n 200 MISTY (updated : May 3, 2002) September 27, 200 Mtsubsh Electrc Corporaton Block Cpher Algorthm MISTY Ths document shows a complete descrpton of encrypton algorthm MISTY, whch are secret-key

More information

5.1 The ISR: Overvieui. chapter

5.1 The ISR: Overvieui. chapter chapter 5 The LC-3 n Chapter 4, we dscussed the basc components of a computer ts memory, ts processng unt, ncludng the assocated temporary storage (usually a set of regsters), nput and output devces, and

More information

Intro. Iterators. 1. Access

Intro. Iterators. 1. Access Intro Ths mornng I d lke to talk a lttle bt about s and s. We wll start out wth smlartes and dfferences, then we wll see how to draw them n envronment dagrams, and we wll fnsh wth some examples. Happy

More information

For instance, ; the five basic number-sets are increasingly more n A B & B A A = B (1)

For instance, ; the five basic number-sets are increasingly more n A B & B A A = B (1) Secton 1.2 Subsets and the Boolean operatons on sets If every element of the set A s an element of the set B, we say that A s a subset of B, or that A s contaned n B, or that B contans A, and we wrte A

More information

AP PHYSICS B 2008 SCORING GUIDELINES

AP PHYSICS B 2008 SCORING GUIDELINES AP PHYSICS B 2008 SCORING GUIDELINES General Notes About 2008 AP Physcs Scorng Gudelnes 1. The solutons contan the most common method of solvng the free-response questons and the allocaton of ponts for

More information

Advanced Computer Networks

Advanced Computer Networks Char of Network Archtectures and Servces Department of Informatcs Techncal Unversty of Munch Note: Durng the attendance check a stcker contanng a unque QR code wll be put on ths exam. Ths QR code contans

More information

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,

More information

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide Lobachevsky State Unversty of Nzhn Novgorod Polyhedron Quck Start Gude Nzhn Novgorod 2016 Contents Specfcaton of Polyhedron software... 3 Theoretcal background... 4 1. Interface of Polyhedron... 6 1.1.

More information

Filling level and Temperature Sensor HFT C4 / R / MD

Filling level and Temperature Sensor HFT C4 / R / MD Fllng level and Temperature Sensor HFT C4 / R / MD Level measurng range 0.25-5.0 m Pressure measurng range 0-0.5 bar Temperature measurng range -10 100 C Voltage supply 18 30 V DC Features Fllng level

More information

Help for Time-Resolved Analysis TRI2 version 2.4 P Barber,

Help for Time-Resolved Analysis TRI2 version 2.4 P Barber, Help for Tme-Resolved Analyss TRI2 verson 2.4 P Barber, 22.01.10 Introducton Tme-resolved Analyss (TRA) becomes avalable under the processng menu once you have loaded and selected an mage that contans

More information

BITPLANE AG IMARISCOLOC. Operating Instructions. Manual Version 1.0 January the image revolution starts here.

BITPLANE AG IMARISCOLOC. Operating Instructions. Manual Version 1.0 January the image revolution starts here. BITPLANE AG IMARISCOLOC Operatng Instructons Manual Verson 1.0 January 2003 the mage revoluton starts here. Operatng Instructons BITPLANE AG Copyrght Ths document contans propretary nformaton protected

More information

Application Specification Miniature Spring Socket Contacts 03 MAY 11 Rev C

Application Specification Miniature Spring Socket Contacts 03 MAY 11 Rev C Applcaton Specfcaton Mnature Sprng 114-13152 Socket Contacts 03 MAY 11 Rev C All numercal values are n metrc unts [wth U.S. customary unts n brackets]. Dmensons are n mllmeters [and nches]. Unless otherwse

More information

SMART PHOTO PRINTER USER'S GUIDE. Version V MODEL SmartD90-EV

SMART PHOTO PRINTER USER'S GUIDE. Version V MODEL SmartD90-EV SMART PHOTO PRINTER MODEL SmartD90-EV USER'S GUIDE Verson V1.5.2.0 1 TABLE OF CONTENTS Introducton Introducton 3 Bascs 4 Constructon of compostons 5 Operaton Easy Prnt Servce 8 Fun Prnt Servce 10 Sharng

More information

Quantifying Performance Models

Quantifying Performance Models Quantfyng Performance Models Prof. Danel A. Menascé Department of Computer Scence George Mason Unversty www.cs.gmu.edu/faculty/menasce.html 1 Copyrght Notce Most of the fgures n ths set of sldes come from

More information

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS ARPN Journal of Engneerng and Appled Scences 006-017 Asan Research Publshng Network (ARPN). All rghts reserved. NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS Igor Grgoryev, Svetlana

More information

Chapter 6 Programmng the fnte element method Inow turn to the man subject of ths book: The mplementaton of the fnte element algorthm n computer programs. In order to make my dscusson as straghtforward

More information

A Flexible Architecture for Creating Scheduling Algorithms as used in STK Scheduler

A Flexible Architecture for Creating Scheduling Algorithms as used in STK Scheduler A Flexble Archtecture for Creatng Schedulng Algorthms as used n STK Scheduler W. A. Fsher and Ella Herz Optwse Corporaton and Orbt Logc Incorporated fsher@optwse.com and ella.herz@orbtlogc.com Abstract

More information

MRKOMNO. kéï=~ë=çñw= pfabufp=ud. aáöáí~ä=o~çáçöê~éüó. nìáåâ=êéñéêéååé=öìáçé==== båöäáëü

MRKOMNO. kéï=~ë=çñw= pfabufp=ud. aáöáí~ä=o~çáçöê~éüó. nìáåâ=êéñéêéååé=öìáçé==== båöäáëü kéï=~ë=çñw= MRKOMNO pfabufp=ud aáöáí~ä=o~çáçöê~éüó nìáåâ=êéñéêéååé=öìáçé==== båöäáëü 0123 Ths product bears the CE markng n accordance wth the provsons of the Councl Drectve 93/42/EEC of June 14, 1993

More information

Agenda & Reading. Simple If. Decision-Making Statements. COMPSCI 280 S1C Applications Programming. Programming Fundamentals

Agenda & Reading. Simple If. Decision-Making Statements. COMPSCI 280 S1C Applications Programming. Programming Fundamentals Agenda & Readng COMPSCI 8 SC Applcatons Programmng Programmng Fundamentals Control Flow Agenda: Decsonmakng statements: Smple If, Ifelse, nested felse, Select Case s Whle, DoWhle/Untl, For, For Each, Nested

More information

Algorithm To Convert A Decimal To A Fraction

Algorithm To Convert A Decimal To A Fraction Algorthm To Convert A ecmal To A Fracton by John Kennedy Mathematcs epartment Santa Monca College 1900 Pco Blvd. Santa Monca, CA 90405 jrkennedy6@gmal.com Except for ths comment explanng that t s blank

More information

User Manual SAPERION Web Client 7.1

User Manual SAPERION Web Client 7.1 User Manual SAPERION Web Clent 7.1 Copyrght 2016 Lexmark. All rghts reserved. Lexmark s a trademark of Lexmark Internatonal, Inc., regstered n the U.S. and/or other countres. All other trademarks are the

More information

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z.

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z. TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS Muradalyev AZ Azerbajan Scentfc-Research and Desgn-Prospectng Insttute of Energetc AZ1012, Ave HZardab-94 E-mal:aydn_murad@yahoocom Importance of

More information

Course Introduction. Algorithm 8/31/2017. COSC 320 Advanced Data Structures and Algorithms. COSC 320 Advanced Data Structures and Algorithms

Course Introduction. Algorithm 8/31/2017. COSC 320 Advanced Data Structures and Algorithms. COSC 320 Advanced Data Structures and Algorithms Course Introducton Course Topcs Exams, abs, Proects A quc loo at a few algorthms 1 Advanced Data Structures and Algorthms Descrpton: We are gong to dscuss algorthm complexty analyss, algorthm desgn technques

More information

ANSYS FLUENT 12.1 in Workbench User s Guide

ANSYS FLUENT 12.1 in Workbench User s Guide ANSYS FLUENT 12.1 n Workbench User s Gude October 2009 Copyrght c 2009 by ANSYS, Inc. All Rghts Reserved. No part of ths document may be reproduced or otherwse used n any form wthout express wrtten permsson

More information

USING GRAPHING SKILLS

USING GRAPHING SKILLS Name: BOLOGY: Date: _ Class: USNG GRAPHNG SKLLS NTRODUCTON: Recorded data can be plotted on a graph. A graph s a pctoral representaton of nformaton recorded n a data table. t s used to show a relatonshp

More information

Notes on Organizing Java Code: Packages, Visibility, and Scope

Notes on Organizing Java Code: Packages, Visibility, and Scope Notes on Organzng Java Code: Packages, Vsblty, and Scope CS 112 Wayne Snyder Java programmng n large measure s a process of defnng enttes (.e., packages, classes, methods, or felds) by name and then usng

More information

The Codesign Challenge

The Codesign Challenge ECE 4530 Codesgn Challenge Fall 2007 Hardware/Software Codesgn The Codesgn Challenge Objectves In the codesgn challenge, your task s to accelerate a gven software reference mplementaton as fast as possble.

More information

Load-Balanced Anycast Routing

Load-Balanced Anycast Routing Load-Balanced Anycast Routng Chng-Yu Ln, Jung-Hua Lo, and Sy-Yen Kuo Department of Electrcal Engneerng atonal Tawan Unversty, Tape, Tawan sykuo@cc.ee.ntu.edu.tw Abstract For fault-tolerance and load-balance

More information

124 Chapter 8. Case Study: A Memory Component ndcatng some error condton. An exceptonal return of a value e s called rasng excepton e. A return s ssue

124 Chapter 8. Case Study: A Memory Component ndcatng some error condton. An exceptonal return of a value e s called rasng excepton e. A return s ssue Chapter 8 Case Study: A Memory Component In chapter 6 we gave the outlne of a case study on the renement of a safe regster. In ths chapter wepresent the outne of another case study on persstent communcaton;

More information

NGPM -- A NSGA-II Program in Matlab

NGPM -- A NSGA-II Program in Matlab Verson 1.4 LIN Song Aerospace Structural Dynamcs Research Laboratory College of Astronautcs, Northwestern Polytechncal Unversty, Chna Emal: lsssswc@163.com 2011-07-26 Contents Contents... 1. Introducton...

More information

User Manual SAPERION Rich Client 7.1

User Manual SAPERION Rich Client 7.1 User Manual SAPERION Rch Clent 7.1 Copyrght 2016 Lexmark. All rghts reserved. Lexmark s a trademark of Lexmark Internatonal, Inc., regstered n the U.S. and/or other countres. All other trademarks are the

More information

APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT

APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT 3. - 5. 5., Brno, Czech Republc, EU APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT Abstract Josef TOŠENOVSKÝ ) Lenka MONSPORTOVÁ ) Flp TOŠENOVSKÝ

More information

A New Approach For the Ranking of Fuzzy Sets With Different Heights

A New Approach For the Ranking of Fuzzy Sets With Different Heights New pproach For the ankng of Fuzzy Sets Wth Dfferent Heghts Pushpnder Sngh School of Mathematcs Computer pplcatons Thapar Unversty, Patala-7 00 Inda pushpndersnl@gmalcom STCT ankng of fuzzy sets plays

More information

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields 17 th European Symposum on Computer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edtors) 2007 Elsever B.V. All rghts reserved. 1 A mathematcal programmng approach to the analyss, desgn and

More information

Assembler. Building a Modern Computer From First Principles.

Assembler. Building a Modern Computer From First Principles. Assembler Buldng a Modern Computer From Frst Prncples www.nand2tetrs.org Elements of Computng Systems, Nsan & Schocken, MIT Press, www.nand2tetrs.org, Chapter 6: Assembler slde Where we are at: Human Thought

More information

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth

More information

A Facet Generation Procedure. for solving 0/1 integer programs

A Facet Generation Procedure. for solving 0/1 integer programs A Facet Generaton Procedure for solvng 0/ nteger programs by Gyana R. Parja IBM Corporaton, Poughkeepse, NY 260 Radu Gaddov Emery Worldwde Arlnes, Vandala, Oho 45377 and Wlbert E. Wlhelm Teas A&M Unversty,

More information

Sum of Linear and Fractional Multiobjective Programming Problem under Fuzzy Rules Constraints

Sum of Linear and Fractional Multiobjective Programming Problem under Fuzzy Rules Constraints Australan Journal of Basc and Appled Scences, 2(4): 1204-1208, 2008 ISSN 1991-8178 Sum of Lnear and Fractonal Multobjectve Programmng Problem under Fuzzy Rules Constrants 1 2 Sanjay Jan and Kalash Lachhwan

More information

Synchronous Distributed Wireless Network Emulator for High-Speed Mobility: Implementation and Evaluation

Synchronous Distributed Wireless Network Emulator for High-Speed Mobility: Implementation and Evaluation Synchronous Dstrbuted Wreless Network Emulator for Hgh-Speed Moblty: Implementaton and Evaluaton Mnoru Kozum, Tomoch Ebata Yokohama Research Laboratory, Htach, Ltd., 292 Yoshda-cho, Totsuka-ku, Yokohama,

More information

Related-Mode Attacks on CTR Encryption Mode

Related-Mode Attacks on CTR Encryption Mode Internatonal Journal of Network Securty, Vol.4, No.3, PP.282 287, May 2007 282 Related-Mode Attacks on CTR Encrypton Mode Dayn Wang, Dongda Ln, and Wenlng Wu (Correspondng author: Dayn Wang) Key Laboratory

More information

Summarizing Data using Bottom-k Sketches

Summarizing Data using Bottom-k Sketches Summarzng Data usng Bottom-k Sketches Edth Cohen AT&T Labs Research 8 Park Avenue Florham Park, NJ 7932, USA edth@research.att.com Ham Kaplan School of Computer Scence Tel Avv Unversty Tel Avv, Israel

More information

MATHEMATICS FORM ONE SCHEME OF WORK 2004

MATHEMATICS FORM ONE SCHEME OF WORK 2004 MATHEMATICS FORM ONE SCHEME OF WORK 2004 WEEK TOPICS/SUBTOPICS LEARNING OBJECTIVES LEARNING OUTCOMES VALUES CREATIVE & CRITICAL THINKING 1 WHOLE NUMBER Students wll be able to: GENERICS 1 1.1 Concept of

More information

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL)

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL) Crcut Analyss I (ENG 405) Chapter Method of Analyss Nodal(KCL) and Mesh(KVL) Nodal Analyss If nstead of focusng on the oltages of the crcut elements, one looks at the oltages at the nodes of the crcut,

More information

CS240: Programming in C. Lecture 12: Polymorphic Sorting

CS240: Programming in C. Lecture 12: Polymorphic Sorting CS240: Programmng n C ecture 12: Polymorphc Sortng Sortng Gven a collecton of tems and a total order over them, sort the collecton under ths order. Total order: every tem s ordered wth respect to every

More information

VideoJet X10 SN Network Video Server. Installation and Operating Manual

VideoJet X10 SN Network Video Server. Installation and Operating Manual VdeoJet X10 SN Network Vdeo Server en Installaton and Operatng Manual VdeoJet X10 SN VdeoJet X10 SN Table of Contents en 3 Table of Contents 1 Preface 7 1.1 About ths Manual 7 1.2 Conventons n ths Manual

More information

Analysis of Continuous Beams in General

Analysis of Continuous Beams in General Analyss of Contnuous Beams n General Contnuous beams consdered here are prsmatc, rgdly connected to each beam segment and supported at varous ponts along the beam. onts are selected at ponts of support,

More information

ST70 Instruments. Operating Guide. Welcome. This Operating Guide. Contents

ST70 Instruments. Operating Guide. Welcome. This Operating Guide. Contents ST70 Instruments Operatng Gude Welcome Congratulatons on havng chosen a Raymarne ST70 nstrument. Ths gves you easy access to the mportant nformaton you need to make your boatng experence both safe and

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

More information

The stream cipher MICKEY-128 (version 1) Algorithm specification issue 1.0

The stream cipher MICKEY-128 (version 1) Algorithm specification issue 1.0 The stream cpher MICKEY-128 (verson 1 Algorthm specfcaton ssue 1. Steve Babbage Vodafone Group R&D, Newbury, UK steve.babbage@vodafone.com Matthew Dodd Independent consultant matthew@mdodd.net www.mdodd.net

More information

Codian MCU MCU 4200 Series

Codian MCU MCU 4200 Series Codan MCU MCU 4200 Seres Gettng started Codan MCU MCU 4200 Seres Gettng started Copyrght Codan 2008. All rghts reserved. Ths Gettng Started Gude may not be coped, photocoped, translated, reproduced, or

More information

User Authentication Based On Behavioral Mouse Dynamics Biometrics

User Authentication Based On Behavioral Mouse Dynamics Biometrics User Authentcaton Based On Behavoral Mouse Dynamcs Bometrcs Chee-Hyung Yoon Danel Donghyun Km Department of Computer Scence Department of Computer Scence Stanford Unversty Stanford Unversty Stanford, CA

More information

User s Guide for Express and Select Class Printers

User s Guide for Express and Select Class Printers User s Gude for Express and Select Class Prnters ImageCard and UltraGrafx Seres June 2000 Part No. 526945-001 Lablty statement Regulatory complance Trademark acknowledgments Propretary Notce Please note

More information

9. BASIC programming: Control and Repetition

9. BASIC programming: Control and Repetition Am: In ths lesson, you wll learn: H. 9. BASIC programmng: Control and Repetton Scenaro: Moz s showng how some nterestng patterns can be generated usng math. Jyot [after seeng the nterestng graphcs]: Usng

More information

Integrating External and Internal Clock Synchronization *

Integrating External and Internal Clock Synchronization * appeared n: Real-Tme Systems, Volume 12, Number 2, 123 171 (1997) Integratng External and Internal Clock Synchronzaton * ork performed @ Department of Computer Scence & Engneerng Unversty of Calforna,

More information

CSCI 5417 Information Retrieval Systems Jim Martin!

CSCI 5417 Information Retrieval Systems Jim Martin! CSCI 5417 Informaton Retreval Systems Jm Martn! Lecture 11 9/29/2011 Today 9/29 Classfcaton Naïve Bayes classfcaton Ungram LM 1 Where we are... Bascs of ad hoc retreval Indexng Term weghtng/scorng Cosne

More information

Security Enhanced Dynamic ID based Remote User Authentication Scheme for Multi-Server Environments

Security Enhanced Dynamic ID based Remote User Authentication Scheme for Multi-Server Environments Internatonal Journal of u- and e- ervce, cence and Technology Vol8, o 7 0), pp7-6 http://dxdoorg/07/unesst087 ecurty Enhanced Dynamc ID based Remote ser Authentcaton cheme for ult-erver Envronments Jun-ub

More information

DAQ-Middleware: Data Acquisition Middleware based on Internet of Things

DAQ-Middleware: Data Acquisition Middleware based on Internet of Things DAQ-Mddleware: Data Acquston Mddleware based on Internet of Thngs Zhjn Qu, Zhongwen Guo, Shua Guo, Yngjan Lu and Yu Wang Ocean Unversty of Chna, Qngdao, Shandong, Chna Unversty of North Carolna at Charlotte,

More information

Sample Solution. Advanced Computer Networks P 1 P 2 P 3 P 4 P 5. Module: IN2097 Date: Examiner: Prof. Dr.-Ing. Georg Carle Exam: Final exam

Sample Solution. Advanced Computer Networks P 1 P 2 P 3 P 4 P 5. Module: IN2097 Date: Examiner: Prof. Dr.-Ing. Georg Carle Exam: Final exam Char of Network Archtectures and Servces Department of Informatcs Techncal Unversty of Munch Note: Durng the attendance check a stcker contanng a unque QR code wll be put on ths exam. Ths QR code contans

More information

3D vector computer graphics

3D vector computer graphics 3D vector computer graphcs Paolo Varagnolo: freelance engneer Padova Aprl 2016 Prvate Practce ----------------------------------- 1. Introducton Vector 3D model representaton n computer graphcs requres

More information

Evaluation of Parallel Processing Systems through Queuing Model

Evaluation of Parallel Processing Systems through Queuing Model ISSN 2278-309 Vkas Shnde, Internatonal Journal of Advanced Volume Trends 4, n Computer No.2, March Scence - and Aprl Engneerng, 205 4(2), March - Aprl 205, 36-43 Internatonal Journal of Advanced Trends

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Decson surface s a hyperplane (lne n 2D) n feature space (smlar to the Perceptron) Arguably, the most mportant recent dscovery n machne learnng In a nutshell: map the data to a predetermned

More information

AVL. Mobile Data, AVL & Mapping. Track with Confidence

AVL. Mobile Data, AVL & Mapping. Track with Confidence Moble Data, & Mappng Track wth Confdence 3012 MDT MILEAGE REPORTING 5 GENERAL PURPOSE INPUTS CARD READER & PRINTER CAPABILITIES TEXT MESSAGING MOTOTRBO TM & NEXEDGE TM COMPATIBLE Desgned for Two-Way rado

More information

Module Management Tool in Software Development Organizations

Module Management Tool in Software Development Organizations Journal of Computer Scence (5): 8-, 7 ISSN 59-66 7 Scence Publcatons Management Tool n Software Development Organzatons Ahmad A. Al-Rababah and Mohammad A. Al-Rababah Faculty of IT, Al-Ahlyyah Amman Unversty,

More information

Information Retrieval

Information Retrieval Anmol Bhasn abhasn[at]cedar.buffalo.edu Moht Devnan mdevnan[at]cse.buffalo.edu Sprng 2005 #$ "% &'" (! Informaton Retreval )" " * + %, ##$ + *--. / "#,0, #'",,,#$ ", # " /,,#,0 1"%,2 '",, Documents are

More information

Bild in der Größe 215x70 mm einfügen. COMAND Operator's Manual

Bild in der Größe 215x70 mm einfügen. COMAND Operator's Manual Bld n der Größe 215x70 mm enfügen COMAND Operator's Manual Welcome to COMAND! Please make yourself famlar wth your COMAND control unt and read the nstructons n ths manual before operatng the COMAND system.

More information

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp Lfe Tables (Tmes) Summary... 1 Data Input... 2 Analyss Summary... 3 Survval Functon... 5 Log Survval Functon... 6 Cumulatve Hazard Functon... 7 Percentles... 7 Group Comparsons... 8 Summary The Lfe Tables

More information

Wishing you all a Total Quality New Year!

Wishing you all a Total Quality New Year! Total Qualty Management and Sx Sgma Post Graduate Program 214-15 Sesson 4 Vnay Kumar Kalakband Assstant Professor Operatons & Systems Area 1 Wshng you all a Total Qualty New Year! Hope you acheve Sx sgma

More information