Drive Train and Power Deric Solis Dale Hussung Courtney Henry Sebastian Paniagua Josh Walker Stephen Moyer Hunter Davison Robin Peeples Justin Alabaster
View full slide show




Drive Train and Power Deric Solis Dale Hussung Courtney Henry Sebastian Paniagua Josh Walker Steven Moyer Hunter Davison Robin Peeples Justin Alabaster
View full slide show




The efficiency of the drive system The total efficiency of the drive system depends on the losses in the motor and its control. Both drive and motor losses are thermal, so they appear as heat. Input power to the drive system is electrical in form, while output power is mechanical. That is why calculating the coefficient of efficiency (η) requires knowledge of both electrical and mechanical engineering. Electrical input power Pin depends on voltage (U), current (I) and the power factor (cosϕ). The power factor tells us what proportion of the total electric power is active power and how much is so called reactive power. To produce the required mechanical power, active power is required. Reactive power is needed to produce magnetization in the motor. Mechanical output power Pout depends on the required torque (T) and rotating speed (n). The greater the speed or torque required, the greater the power required. This has a direct effect on how much power the drive system draws from the electrical supply. As mentioned earlier, the frequency converter regulates the voltage, which is fed to the motor, and in this way directly controls the power used in the motor as well as in the process being controlled. Electrical switching with transistors is very efficient, so the efficiency of the frequency converter is very high, from 0.97 to 0.99. Motor efficiency is typically between 0.82 and 0.97 depending on the motor size and its rated speed. So it can be said that the total efficiency of the drive system is always above 0.8 when controlled by a frequency converter.
View full slide show




3-Hunter Stag Hunt Hunter 3 does Hare Hunter 3 does Stag Hunter 2 Hunter 2 Stag Stag Hare 0,0,1 0,1,1 2,2,2 0,1,0 Stag Hunter 1 Hare Stag 1,0,0 1,1,0 Hare Find the Nash equilibria Hunter 1 Hare 1,0,1 1,1,1
View full slide show




Explicit PCA Regression on training/test set • We have for training set: ˆ train train train  yn Tnh wh  yn ˆ train train trainT train  1 trainT train yn Tnh Thn Tnh  Thn yn • And for the test set: ˆ test test test train yk Tkh wh  yk ˆ test yk Tkhtest ThntrainT Tnhtrain  X test km T mh B train T yn trainT train  1 trainT train Thn Tnh Thn yn   1 trainT hn 
View full slide show




Identifying Your System Configuration Different system configurations:  One hard disk drive, one CD-ROM drive, and one floppy disk drive  One hard disk drive, one CD-ROM drive, one floppy disk drive, and one Zip drive  Two hard disk drives, one CD-ROM drive, and one floppy disk drive  One hard disk drive, one CD-ROM drive, one readwrite CD-ROM drive, and one floppy disk drive Ch1 26
View full slide show




32: a=GuardarCas(u,a,cas) Sistema de selecció d’atributs basat en algorismes genètics 33: a Fi iteració fiCas(cas) 34: GuardarAtr(a,cas) Diagrama de seqüència (IV) 35: GuardarCas(validacio,cas) Fi iteració fiFitxer(train) 36: [FiFitxer(train)], train 37: CreaGA(), train, validacio 38: CreaPoblacio() 39: pob 40: InitPobAleatori(pob) 41: AvalPob(pob,avaluacions,train,validacio) 42: Ind=AgafaIndiv(pob) 43: *![FI(validacio)], cv=AgafaCas(validacio) 44: *![Fi(train)], ct=AgafaCas(train) 45: a=AvalInd(Ind,ct,cv) Fi iteracions Fi(validacio) Fi(train) 46: res=Acumula(a,res) 47: Guardar(avaluacios,res,Ind) 48: ![HiHaInd(pob),avaluacions 49: elit=BuscaElitisme(pob) 50: pob=Seleccio(pob) 51: pob=Creua(pob) 52: pob=muta(pob) 53: pob=TornaElitisme(pob,elit) 54: AvalPob(pob,avaluacions,train,validacio) Motivació Introducció als algorismes genètics Algorismes genètics en selecció d’atributs Disseny Introducció a la selecció d’atributs 55: ind=AgafaInd(pob) Resultats Concl. i Línies de futur 56: cv=AgafaCas(validacio) 57: ct=AgafaCas(train)
View full slide show




Object features as model annotations agent Patron Name Email attributes features entity Train Speed Acceleration DoorsState On annotation association Name Patron; Type Agent Def Any person currently registered to a system’s library for some valid period. Synonyms Borrower Name Train; Type Entity Def Any train currently in operation in the system. Has Speed %…%; Acceleration %…%; DoorsState %…%; DomInvar MovingIffNonZeroSpeed: ( tr: Train) (Moving (tr)  tr.Speed 0) NonZeroSpeedIfNonZeroAcceler: ( tr: Train) (tr.Acceleration 0  tr.Speed 0) ClosedIfNotOpen: ( tr: Train) (tr.DoorsState ‘open’  tr.DoorsState = ‘closed’) Init For any train tr: tr.Speed = 0 tr.Acceleration = 0 tr.DoorsState = ‘closed’ Issue How about trains under maintenance? Block … Name On Def The current localization of a train on system blocks. DomInvar OnTwoBlocksAtMost: A train is on one or two successive blocks at any time. Init Any train entering the system is on the main station block
View full slide show




Evaluate these thesis statements: 1.The strategies O. Henry uses create an emotional connection between the readers and the characters. 2.In “The Gift of the Magi,” O. Henry uses several techniques to add to the climax. 3.There are multiple ways that O. Henry adds emotional weight to the climax. 4.O. Henry does an excellent job of giving the story emotional weight at the climax. 5.O. Henry uses imagery to make readers feel sympathy for Jim and Della, thus adding emotional weight to the climax. 6.O. Henry adds emotional weight to the climax by focusing on Jim and Della’s poverty and how that poverty affects their pride. 7.O. Henry emphasizes Jim and Della’s possessions to add intensity to the climax. 8.O. Henry uses pacing and diction to give the climax emotional weight. 9.In “The Gift of the Magi,” diction is used to add emotional weight to the climax.
View full slide show




Evaluate these thesis statements: 1.The strategies O. Henry uses create an emotional connection between the readers and the characters. 2.In “The Gift of the Magi,” O. Henry uses several techniques to add to the climax. 3.There are multiple ways that O. Henry adds emotional weight to the climax. 4.O. Henry does an excellent job of giving the story emotional weight at the climax. 5.O. Henry uses imagery to make readers feel sympathy for Jim and Della, thus adding emotional weight to the climax. 6.O. Henry adds emotional weight to the climax by focusing on Jim and Della’s poverty and how that poverty affects their pride. 7.O. Henry emphasizes Jim and Della’s possessions to add intensity to the climax. 8.O. Henry uses pacing and diction to give the climax emotional weight. 9.In “The Gift of the Magi,” diction is used to add emotional weight to the climax.
View full slide show




Dr. Justin Ramos Justin was born in the Philippines, and was five years old when his family moved to California. Justin grew up in Irvine, California and Henderson, Nevada, where he went to high school. Justin attended college at the University of Nevada, Las Vegas, and medical school at the University of Nevada School of Medicine, in Reno. Justin interests include snowboarding, wakeboarding, hiking, camping, tennis, travel, cooking, baking, and of course eating great food.
View full slide show




Design Insights Three ostriches had a running argument over the best way for an ostrich to defend himself. The youngest brother practiced biting and kicking incessantly, and held the black belt. He asserted that “the best defense is a good offense.” The middle brother lived by the maxim that “he who fights and runs away, lives to fight another day.” Through arduous practice, he had become the fastest ostrich in the desert- which, you must admit, is rather fast. The eldest brother, being wiser and more worldly, adopted the typical attitude of mature ostriches: “What you don’t know can’t hurt you.” He was far and away the best head-burier that any ostrich could recall. One day a feather hunter came to the desert and started robbing ostriches of their precious tail feathers. Each of the three brothers therefore took on a group of followers for instruction in the proper methods of self-defense - according to each one’s separate gospel. Eventually the feather hunter turned up outside camp of the youngest brother, where he heard the grunts and snorts of all the disciples who were busily practicing kicking and biting. The hunter was on foot, but armed with an enormous club, which he brandished menacingly. Fearless as he was, the ostrich was no match for the hunter, because the club was much longer than an ostrich’s legs or neck. After taking many lumps and bumps and not getting in a single kick or bite, the ostrich fell exhausted to the ground. The hunter casually plucked his precious tail feather, continued after which all his disciples gave up without a fight. Sauter, V.L. , Decision Support Systems for Business Intelligence, John Wiley, 2010
View full slide show




Deterministic Planning  Initial State: captive(Eleanor), heir(John), distrusts(Richard,Eleanor), distrusts(Henry,Eleanor), discontented(Geoffrey), …    Goal: free(Eleanor), heir (Richard), trusts(Richard,Eleanor), … Operators: flirt(Char1,Char2), plead(C1,C2), plot (…),threaten(…), ... Actions (with preconditions and effects): flirt(Eleanor,Henry) pre: together(Eleanor, Henry) eff: trusts(Henry, Eleanor) 16 bluff(Eleanor,Henry) pre:trusts(Henry,Eleanor), together(Eleanor, Henry) eff: free(Eleanor) plot(Eleanor,Geoffrey) plead(Eleanor,Richard) pre: together(Eleanor, Geoffrey) pre: together(Eleanor,Richard) eff: heir(Richard), not heir (John) eff: trusts(Richard,Eleanor)
View full slide show




Title IX Coordinators, Public Safety Directors, Chief Student Affairs Officers (cont.) Coordinators Title IX Christopher Leydon (646) 664-8616 [email protected] Public Safety Directors Officers School of Professional Studies Juan Velazquez Munoz (646) 664-8601 [email protected] Chief Student Affairs Zeita-Marion Lobley (646) 344-7248 [email protected] School of Public Health Edith Rivera (212) 817-7410 [email protected] Louis J. Mader (212) 772-4447 [email protected] Ashish Joshi   (646) 664-8359  [email protected] Guttman Community College Linda Merians (646) 313-2023 [email protected] Michele Dickinson (718) 518-4284 [email protected] John Rose, Esq. (212) 650-3262 [email protected] Silvia Montalban, Esq. (646) 557-4409 [email protected] Victoria Ajibade (718) 368-6896 [email protected] Anastasia Koutsidis (646) 313-8001 [email protected] Hostos Community College Arnaldo Bernabe  (718) 518-6880 [email protected] Hunter College Joseph Foelsch (212) 772-4521 [email protected] John Jay College Kevin Cassidy (212) 237-8521 / (212) 237-8266 [email protected] Kingsborough Community College Tyrone Forte (718) 368-5069 / (718) 368-5031 [email protected] Charles Pryor (646) 313-8818 [email protected] Nathaniel Cruz (718) 518-4264 [email protected] Eija Ayravainen (212) 772-4878 [email protected] Lynette Cook-Francis (212) 237-8100 [email protected] Peter Cohen (718) 368-5563 [email protected]
View full slide show




Step 4: Remove the Motherboard, Power Supply, and Drives • Tips to remove drives: – Look for screws on each side of the drive attaching the drive to the drive bay – There might be a catch underneath the drive • You must lift up as you slide the drive forward – Some drive bays have a clipping mechanism to hold the drive in the bay • Release the clip and then pull the drive forward – May have to remove the drive bay in order to remove the drives A+ Guide to Managing & Maintaining Your PC, 8th Edition © Cengage Learning 2014 24
View full slide show




C1 01TBM Three blind mice 3 SO1 35SSS Sing a song of sixpence .18 .14 02TLP This little pig went to market DO1 03DDD Diddle diddle dumpling my son John 07OMH Old Mother Hubbard 04LMM Little Miss Muffet 30HDD Hey diddle diddle 06SPP See a pin and pick it up 08JSC Jack Sprat could eat no fat C2 ffa=39LCS 09HBD Hush baby. Daddy is near 10JAJ Jack and Jill went up the hill 05HDS Humpty Dumpty C11 12OWF There came an old woman from France 11OMM One misty moisty morning 01TBM Three blind mice 13RRS A robin and a robins son 15PCD Great A. little a 02TLP This little pig went to market 14ASO If all the seas were one sea 21LAU The Lion and the Unicorn 03DDD Diddle diddle dumpling my son John 16PPG Flour of England 22HLH I had a little husband 04LMM Little Miss Muffet 17FEC Here sits the Lord Mayor 28BBB Baa baa black sheep 06SPP See a pin and pick it up 18HTP I had two pigeons bright and gay 36LTT Little Tommy Tittlemouse 10JAJ Jack and Jill went up the hill 23MTB How many miles is it to Babylon 37MBB Here we go round mulberry bush 13RRS A robin and a robins son 25WOW There was an old woman 38YLS If I had as much money as I could tell 14ASO If all the seas were one sea 26SBS Sleep baby sleep 39LCS A little cock sparrow 16PPG Flour of England 27CBC Cry baby cry 41OKC Old King Cole 17FEC Here sits the Lord Mayor C21 ffa=21LAU 29LFW When little Fred went to bed 42BBC Bat bat, come under my hat 18HTP I had two pigeons bright and gay 32JGF Jack, come give me your fiddle 48OTB One two, buckle my shoe 05HDS Humpty Dumpty 23MTB How many miles is it to Babylon 33BFP Buttons, a farthing a pair 50LJH Little Jack Horner 11OMM One misty moisty morning 25WOW There was an old woman 43HHD Hark hark, the dogs do bark .26 15PCD Great A. little a 32JGF Jack, come give me your fiddle 44HLH The hart he loves the high wood DO4 .46 21LAU The Lion and the Unicorn 33BFP Buttons, a farthing a pair 45BBB Bye baby bunting .19 22HLH I had a little husband 28BBB Baa baa black sheep 43HHD Hark hark, the dogs do bark 46TTP Tom Tom the pipers son 36LTT Little Tommy Tittlemouse 44HLH The hart he loves the high wood 47CCM Cocks crow in the morn SO8 41OKC Old King Cole 37MBB Here we go round mulberry 46TTP Tom Tom the pipers son 49WLG There was a little girl 50LJH Little Jack Horner 38YLS If I had as much money SO9 47CCM Cocks crow in the morn .28 2.2 SO2 08JSC Jack Sprat 42BBC Bat bat, come under my hat 49WLG There was a little girl 39LCS A little cock sparrow C12 48OTB One two, buckle my shoe .42 C111 09HBD Hush baby. Daddy is near C211 ffa=37 03DDD Diddle diddle dumpling my son John .41 12OWF There came old woman France 06SPP See a pin and pick it up 26SBS Sleep baby sleep 05HDS Humpty Dumpty 2 10JAJ Jack and Jill went up the hill 27CBC Cry baby cry 11OMM One misty moisty morning 13RRS A robin and a robins son .31 1.3 29LFW When little Fred went to bed 15PCD Great A. little a 14ASO If all the seas were one sea 45BBB Bye baby bunting 22HLH I had a little husband 16PPG Flour of England SO15 36LTT Little Tommy Tittlemouse 1.53 18HTP I had two pigeons bright and gay 37MBB Here we go round mulberry .42 29LFW When little Fred went bed 23MTB How many miles is it to Babylon SO3 38YLS If I had as much money 25WOW There was an old woman 48OTB One two, buckle my shoe C121 ffa=29 46TTP Tom Tom pipers DO3 32JGF Jack, come give me your fiddle SO10 33BFP Buttons, a farthing a pair 09HBD Hush baby. Daddy is near 01TBM Three blind mice SO11 42BBC Bat bat, come undert 43HHD Hark hark, the dogs do bark 26SBS Sleep baby sleep DO2 17FEC Here sits the Lord Mayor 21LAU The Lion and the Unicorn 44HLH The hart he loves the high wood 27CBC Cry baby cry .38 47CCM Cocks crow in the morn 45BBB Bye baby bunting 02TLP This little pig C2111 ffa=15 SO14 49WLG There was a little girl .1.6 04LMM Little Miss Muffet .36 05HDS Humpty Dumpty C1111 12OWF The came ol woman France 15PCD Great A. little a 1.8 03DDD Diddle diddle dumpling my son John 22HLH I had a little husband 06SPP See a pin and pick it up 36LTT Little Tommy Tittlemouse SO4 13RRS A robin and a robins son 38YLS If I had as much money 16PPG Flour of England 10JAJ Jack and Jill went up the hill 48OTB One two, buckle my shoe 18HTP I had two pigeons bright and gay TO1 23MTB How many miles is it to Babylon SO12 32JGF Jack, come give me your fiddle 14ASO If all the seas 33BFP Buttons, a farthing a pair 11OMM One misty moisty SO13 25WOW There was an old woman 43HHD Hark hark, the dogs do bark 44HLH The hart he loves 37MBB Here we go rnd mulberry 47CCM Cocks crow in the morn 49WLG There was a little girl C2111 seems to be lullabys? no gaps C2111 seems to focus on .3 1.3 SO5 C11111 extremes? (big and small) 03DDD Diddle diddle dumpling my son John 13RRS A robin and TO2 06SPP See a pin and pick it up 16PPG Flour of England 23MTB How many miles to Babylon 18HTP I had two pigeons bright and gay 33BFP Buttons, a farthing a pair Notes: 32JGF Jack, come give me your fiddle 43HHD Hark hark, the dogs do bark 47CCM Cocks crow in the morn In text mining, just about any document is eventually going to be an 49WLG There was a little girl C111111 SO6 outlier due to the fact that we are projecting high dimension (44 here) onto 06SPP See a pin and pick it up 16PPG Flour of England SO7 03DDD Diddle diddle dumpling dimension=1. Thus the ffa will almost always be an outlier in LAvgffa. 18HTP I had two pigeons bright and gay 47CCM Cocks crow in the morn 32JGF Jack, come give me your fiddle MG44d60w A-FFA dendogram
View full slide show