Efficient Context-sensitive Word Completion for Mobile Devices
|
|
|
- Terence Morris
- 10 years ago
- Views:
Transcription
1 Et Cotxtsstv Word Compto or Mob Dvs ABSTRACT Ata va d Bosh Tburg Ctr or Cratv Computg Tburg Uvrsty P.O. Box 90153, NL5000 LE Tburg, Th Nthrads Ata.vdBosh@uvt. Word ompto s a bas thoogy or rdug th ort vovd txt try o mob dvs ad augmtatv ommuato dvs, whr y ad as o us ar dd, but whr a ow mmory ootprt s aso rqurd. Stadard soutos omprss a xo to a sux tr wth a sma mmory ootprt ad hgh rtrva spd. Kystrok savgs, a masurab orrat o txt try ort ga, typay mprov wh th agorthm woud aso tak to aout th prvous word; howvr, ths oms at th ost o a arg ootprt. W dvop two word ompto agorthms that od th prvous word th put. Th rst agorthm utzs a haratr bur that uds a xd umbr o rt kystroks, udg thos bogg to prvous words. Th sod agorthm uds th ompt prvous word as a xtra put atur. I smuato studs, th rst agorthm yds markd mprovmts kystrok savgs, but has a arg mmory ootprt. Th sod agorthm a b tud by rquy thrshodg to hav a sma ootprt, ad b ss tha o ordr o magtud sowr tha th bas systm, wh ts kystrok savgs mprov ovr th bas. Catgors ad Subjt Dsrptors D.2 [Sotwar]: Sotwar Egrg Gra Trms Agorthms, Huma Fators, Prorma Kywords Word ompto, prdtv txt prossg, mob dvs, otxt sstvty, sag, rgooms 1. INTRODUCTION Word ompto s a bas thoogy or txt try o mob dvs, as w as a mportat ompot augmtatv aguag thoogy toos [3]. Its ma am s to rdu th umbr Prmsso to mak dgta or hard ops o a or part o ths work or prsoa or assroom us s gratd wthout provdd that ops ar ot mad or dstrbutd or prot or ommra advatag ad that ops bar ths ot ad th u tato o th rst pag. To opy othrws, or rpubsh, to post o srvrs or to rdstrbut to sts, rqurs pror sp prmsso ad/or a. Copyrght s hd by th author/owr(s). MobHCI 2008, Sptmbr 2 5, 2008, Amstrdam, th Nthrads. ACM /08/09. To Bogrs Tburg Ctr or Cratv Computg Tburg Uvrsty P.O. Box 90153, NL5000 LE Tburg, Th Nthrads A.M.Bogrs@uvt. o kystroks ssary durg txt try by orrty suggstg th ompto o th word urrty bg trd, as soo as possb, so that th word dos ot hav to b ompty kyd. O straghtorward stratgy s to grat a suggsto at th word s uty pot,.. th pot at whh th word s th oy word avaab th agorthm s tra word mod (.g. a st o words) that ts th strg o haratrs kyd so ar. Th word ompto agorthm may aso vtur to suggst a rta word v bor ay o th possb words uty pots ar rahd. From th momt that th mod suggsts a orrt word ompto (vsuay dspayd a dsgatd part o th dv s sr), th usr s typay ab to k a Apt butto to aord ad at th suggsto. Atua savgs ar mad wh th suggsto s aordd bor th word s borast haratr s kyd. Athough word ompto agorthms ar usd may dvs wth som suss, urrt word ompto systms rma mprt, ad ar vurab to at ast th oowg two ators. Th rst ator that hamprs sstay a word ompto systms s that wh a word urrty bg trd dos ot our th systm s tra word or aguag mod, th systm w ot suggst t, ad th usr w d to ky th u word. Ths probm a oy b ovrom by udg mor words th ostruto o th agorthm, th hop o havg a bttr ovrag o w, us txt. A sod ssu that apps to th smpr kd o word ompto systms that ar oy basd o a word st, s that atr vry spa or putuato mark, ths systms start to guss words aw wthout takg to aout th prvous squ o haratrs or words. Yt, a ass ad udamta sght, quatd ormato thory [11], s that haratrs or words prdg th urrt word may otrbut ormato that woud ab suggstg th urrt word arr tha ts uty pot, som ass v mmdaty. Usg ormato rom th prvousy trd txt may aso hp pkg o partuar suggstd word ovr atratv words wth th sam ta haratrs, but whh ar ss ky gv th prvous word. I ths papr, w xpor ths two probms, provd soutos, ad aayz thr ratv utty. It s struturd as oows. Atr rvwg ratd work th ara o word ompto (or prdtv txt prossg) agorthms Sto 2, w trodu a otxtsstv bas word ompto agorthm ad two otxtsstv varats Sto 3. Atr trodug our trag ad tstg data ad our smuato study Sto 4, w show th rato btw th suss o our thr agorthms (masurab th prtag o ky prsss savd) ad th sz ad ovrag o thr word mods, ad w ompar th thr mods, Sto 5. W oud Sto 6 that by udg otxt, kystrok savgs a dd b mprovd at th ost o mm IO 465
2 ory dd; ad that a otxtsstv word ompto agorthm that taks to aout th u prvous word ( rquythrshodd) as a atur, yds substata mprovmts kystrok savgs, agast oy a modst ras mmory usag. As a a ot, w dsuss vaorzato aspts o word prdto systms gra, ad our study partuar, Sto RELATED WORK Word ompto systms am to rdu th ort spt o trg txt a dgta dv. Gray spakg, thr ar two drt approahs to rdug th ort o txt try [12]. Th rst approah s to d a way o rdug th physa rstrats o trg txt by thr usg atrat modats or by hagg or augmtg th kyboard ayout suh as rordrg th ky mappgs. Examps o suh rordrgs hav b proposd by [6] ad [13], amog othrs. Th othr approah ad th o w ous o ths papr ams at rdug th amout o typg ssary to tr a txt by usg prdtv typg ads suh as word ompto systms. Suh ads try to prdt th ompto o th urrt word as t s bg kyd, ad ar avaab or put modats ragg rom u kyboards to th mor rstrtd kypads o mob phos. For sta, th popuar T9 agorthm was dsgd spay to or prdtv txt try o th stadard 12ky kypad ayout o th urrt grato o mob phos [5]. Howvr, a growg umbr o mob phos, PDAs, ad BakBrrys sport u QW ERTY kyboards. W thror ous o prdtv txt try usg th attr typ o kyboards ths papr. Prdtv txt try agorthms us otxt ormato to atpat what bok o haratrs (ttrs, grams, syabs, words, or tr phrass) a prso s gog to wrt xt [3]. Th bok sz th typg ad trs to prdt, us th potta savgs trms o tm ad kystroks. Prdto o gram szd boks has b appd by, or sta, Goodma t a. (2002), who usd gram mods to orrt ad prdt usr put usg sot kyboards,.. osr kyboards opratd usg a touh sr or a styus [4]. Usg aguag mods o at most th 6 prvous haratrs, thy wr ab to sussuy orrt usr put, wh t was ot try ar what ky th usr mat to prss. MaKz t a. (2001) aso us ttr squ probabts to dsambguat btw ambguous usr put [9]. Thy mphasz th ssty o kpg th mmory ootprt sma wh at th sam tm maxmzg prdtv prorma. Howvr, prdtg grams or syabs a rsut rasd ogtv ort or th usr who has to hk ad approv th prdtos. Baus words (whtspadmtd squs o ttrs) ar mor asy rogzab, thrby rdug th ogtv ort rqurd, words ar most wdy usd as prdtd boks [3]. O o th arst appatos o prdtv txt try was th Ratv Kyboard by Darragh t a. (1990). Thy adoptd a dyam, mpt, ad adaptv modg stratgy by usg a trbasd mmory strutur to stor rurrg grams ad quky math substrgs assoatd wth prdtos. Suggstos wr sortd by gth ad rquy, wth th ogst, most rqut substrgs bg prrrd [2]. How t a. (2005) took th prvous word to aout th word ompto task by usg usg a bgram word mod to prdt th most ky word th squ basd o mathg haratr prxs o th urrt word bg typd. Thy rport tm savgs o 14.1% o avrag [6]. TaakaIsh (2007) ompard our aguag mods or prdtv txt try [13]: two smp mods basd o rquy ad ry outs, a mod basd o oourr btw words, ad a adaptv gram mod that taks to aout th probabty dstrbuto o words prvousy usd by th usr as w. Th adaptv gram mod prormd bst. Stoky t a. (2004) took a smat approah to word prdto stad o a pury statsta o, by ookg up ommo ss otxt rom th Op Md Commo Ss (OMCS) projt or ah omptd word [12]. A words rom th rtrvd otxts hav thr rquy sors updatd th txt prdto dtoary; basd o th rst typd haratrs o th xt word, words ar th suggstd by rquy. As thr trag matra, thy usd a orpus o 5,500 ma mssags st ovr th ours o o yar by o usr, osstg o 1.1M words. I addto, thy usd thr smar Wb pag orpora otag btw 10,500 ad 16,500 words. Som gra ousos a b draw rom th body o ratd work. O s that xprts td to bt mor rom prdtv txt try or rdudsz kyboards tha ovs do, but or stadardszd kyboards ths stuato s rvrsd [2]. Ths s baus prdtv typg ads ar mor ky to b usu stuatos wth ostadard kyboards, whr pop aot tr haratrs as ast as orma. Prdtv txt try aso tds to yd ss bt wh prdtg SMS txt tha orma txt, baus th voabuary s mor prsoazd ad baus avrag word gth tds to b smar, h th potta savgs ar aso rdud. Fay, a gra probm s that a ak o stadardzd tst orpora maks omparg th drt approahs dut. Th majorty o prdtv txt approahs td to b vauatd o drt orpora, usuay omposd o wspapr txt. A addtoa probm s that vry rsarh ort sms to b vauatd usg drt mtrs as w: whr o approah s vauatd usg ht rato (.. th v o auray prdtg th orrt word), othrs ar vauatd trms o kystrok savgs or tm savgs. 3. THREE WORD COMPLETION ALGO RITHMS Th two dsjot goas o a ast word ompto agorthm ar () that t ds to hod a wdovrag word or aguag mod, ad () t shoud b ab to say at th arst possb pot o a haratr squ bg trd, wth a suss rat that shoud b as hgh as possb, to whh word th squ a b omptd. Ths task a b phrasd as a assato probm whh a put squ o trd kys s mappd to th word that s atuay bg tdd by th prso kyg th txt. Suppos that a prso s kyg th txt t o a orma QWERTY kyboard. Frst, th word prdto agorthm ds to suggst t durg th rst two kystroks. Th, atr bg rst by th spa bar, t ds to suggst throughout th squ o that word bg kyd, ttra. Its assato task thus a b mad xpt as thrt assato stas dptd at th thad sd o Fgur 1. To tra a assr, thr a xo or a txt oud b odd wth th shm as ustratd Fgur 1, rsutg as may abd stas as haratrs th xo or txt. Th assr, th, has to u th d o prsrvg a th words th xo or trag txt, ad bg ab to grat, gv w put o ky squs, prdtos o th orrt words as soo as possb as th word s bg kyd. To ths purpos, th gra strutur o trs ar w sutd [8]. I our study, w mpoy th IGTr agorthm [1], whh mpmts tr omprsso ad assato. I th rst omprsso phas, a st o words (thr rom a xo or a txt) s omprssd by IGTr to a tr strutur. To do ths, rst a otm ordrg o aturs s omputd, whr th aturs ar th postos 466 IO
3 haratr bur prdto haratr bur prdto haratr bur prvous word prdto t s t t spa spa t t t t t t t s t s s s s s t t spa spa t s t t t t t t t spa spa Fgur 1: Examp assato stas drvd rom th st t or th otxtsstv agorthm (t), th haratr otxt agorthm (mdd), ad th prvousword otxt agorthm (rght). th haratr bur. Th ordrg o th aturs s dtrmd by thr ormato ga rato wth rspt to prdtg th word [10]. Gv ay rasoab amout o xamps, th rghtmost atur,.. th most rty prssd ky, has th ovra hghst prdtv powr, h th argst ga rato. Th ovra ordrg s rom rght to t. Subsquty, a root od s ratd, whh rprsts th most ky word wh o ky s prssd yt. Ths root od as out to a rst ayr o ods through ars, whr th ars rprst a possb kystroks. Eah rstayr od rprsts th most ky word gv a sg kystrok, ad brahs out to sodayr ods, otd by ars that dot a possb kystroks gv th rst kystrok. A od boms a d od th ar adg to that od uquy dts a sg word, v th ar s ot th ast haratr o th word. Ths agorthm s rursvy appd ut a omprssd tr s produd, rady to pross w stas. Th tr asss w omg stas (whr th kystroks ar kow, but th word ds to b prdtd) by travrsg th tr wth th urrt haratr bur (. Fgur 1) as put aturs. Startg wth th root od, t dtrmstay taks th ar rprstg th rghtmost haratr, ad otus oowg mathg ars th ordrg o th aturs ut thr () t outrs a d od, at whh pot th prdtd word s mttd as output, or () t outrs a odg od rom whh t ds o mor mathg ars otg to ods urthr dow th tr, at whh pot t mts th most ky word so ar. I th argr otxt o th txt appato, ths tr s mbddd a ratm wrappr that rads ah omg kystrok, updats th haratr bur (shtg t tward wth ah kystrok, rasg t atr ah spa), sds th bur to th tr, aths th prdto mttd by th tr, ad prsts ths to th usr, who a th prss a spa Apt ky to apt th tr s suggsto. To ud otxt o prvousy trd txt, two bas optos ar avaab ad tstd ths papr. Th rst, ustratd th mdd o Fgur 1, s to ot rst th haratr bur atr th spabar or a putuato ky s ht, but rathr to kp th haratr bur d wth a xd umbr o rty prssd kys thus udg th prvous word, or at ast a part o t, or somtms v a part o th borast word. Th sod varat s to ud th u prvous word (or words) kyd bor th ast spa. Th rghthad part o Fgur 1 dspays th stup xpord ths papr, whr a smp haratr bur that s rst atr ah spa, s aompad by a sg atur arryg th word prvous to th word urrty bg prdtd. I th tr, ths prvous word atur s mxd wth th othr ttr aturs, makg th tr somwhat mor ompatd shap. A urstrtd word atur a hav hudrds o thousads o uqu vaus (.. a uqu words ourrg th moword orpora usd or trag), h a tr that woud spt suh a od woud b shattrd ovr a Zpa dstrbuto o ods, udg a og ta o hapax vaus (words ourrg o, typay about ha o a th uqu words th trag orpus) org o grazato powr, ad ky produg orrt xtword suggstos [14]. As suggstd by Va d Bosh (2005), a wordvaud atur a b mad mor t wh tgratd a tr strutur wh oy th most rqut vaus o th atur,.g. th top most rqut words, ar kpt as dsrt vaus, ad a othr vaus ar umpd togthr udr a dummy vau. I mpra tsts w st = 200, produg th bst prorma o a hdout tst st. Our wordvaud atur thus auss a 201od brahg th tr at th v t s vokd. 4. EXPERIMENTAL SETUP W ru smuato studs o a arg amout o otrod data, spt to trag ad tstg matra. Ths smuato studs muat huma typg bhavor a dtrmst way,.., thy muat a xd stratgy typg whh orrt word ompto suggstos ar aptd at th arst possb pot. Rug suh a arta smuato study abstrats away rom huma rror ad dvatg stratgs (suh as gorg orrt suggstos oasoay), aowg xprmts wth vry arg amouts o data, but dsaowg th masurmt o ra prossg tms, masurmts o rgy spt, or bra atvty masurmts. Esstay, w assum that kystrok savgs ar a ssb orrat o huma ort savgs. Our xprmts ar basd o Duth data, wth th purpos o posg a sghty argr hag tha Egsh. Lk Egsh ad Grma, Duth s a grma aguag. Lk Grma, Duth has a produtv ompoudg morphoogy, aowg or og admssb words. Ths phomo puts a prssur o th ukow words probm, as og ompouds td to b rar, ad ompard to Egsh, tak away rquy outs rom th words thy ar omposd o. As a txt orpus or trag ad tstg, w usd th rst our moths o a Duth oa wspapr s u art arhv, spt to a trag orpus o up to t mo words, ad a dsjot tst st o 100,000 words. Th orpus thus ossts o jourast txt, ovr IO 467
4 g oa, atoa, ad tratoa tops o a sorts. I addto, w ud o atratv tst st rprstg mor ooqua ad soa aguag, vz. a oto o trasrbd atoa daogus rom th Spok Duth Corpus 1. Ths suborpus s atgorzd as th most spotaous rgstr th orpus, ad otas a tota o 2,444,755 words atr bas aup (w rmovd trasrbd dsus, ad ovrtd d pauss to ommas, to bttr rsmb orthograph txt). Not that wth both sts w ar usg rug txt as trag data, ad ot a xo. Obvousy w d th txt to b ab to grat th thad otxtua aturs th two otxtsstv word ompto systm varats. At th sam tm, ths approah dos ma or th otxtsstv varat that t s trad o a uqu words ourrg th orpus, ad othg s,.g. o xtra baad or yopd st o Duth words, whh oud b a wom boost prp. I ordr to aow or a propr omparso btw th thr systms, w tra ad tst a thr o th xat sam matra. 4.1 Exprmta dsg ad vauato Kpg th tst sts ostat, w vary th amout o trag matra a psudoxpota srs, startg at 10,000 words, dg at 10,000,000. At ah stp th urv, w prorm a u IGTr xprmt whh w grat a tr, ad pross th tst sts wth th tr. At ah smuato xprmt, w masur th oowg or vauato purposs: 1. Th umbr o ods th tr; 2. Th umbr o haratrs prossd pr sod by th IGTr assato agorthm; 3. Th prtag o kystroks savd. Th attr prtag o kystroks savd s th proporto o th tota umbr o kystroks dd to grat th tr tst txt, oowg a orrt suggstos o th systm as soo as possb, agast th tota umbr o kystroks dd wh th u tst txt woud b typd haratr by haratr. I prp, kystroks a b savd th word s orrty suggstd bor th borast haratr s prssd. Th amout o kystroks savd w thror b 0.0% or hghr; at 0.0%, th word ompto systm s ompty tv. 5. RESULTS Fgur 2 dspays th arg urv rsuts o our thr varats, masurd o th 100,000words tst st draw rom th sam sour as th trag matra. Th xaxs, rprstg th umbr o words th trag orpus, oows a ogarthm sa, wh th yaxs rprsts th prtag o kystroks savd agast th daut stuato o typg a words haratr by haratr. Frst, w obsrv that a thr s xhbt a upward trd; trad o mor data, thy ad to bttr kystrok savgs. A sod obsrvato s that th otxtsstv varats, both th o basd o a xdgth bur wth prvous haratr otxt (th dashd ) ad th o basd o th prvous word otxt (th dottd ), appar to b xhbtg a ogar growth; wth vry doubg o th trag data, thy yd a ostat mprovmt kystrok savgs. I otrast, th urv rprstg th otxtsstv bas systm appars to tapr o, ag rasgy bhd th th otxtsstv varats. 1 % kyprsss savd No otxt Charatr otxt Top 200 word otxt trag words Fgur 2: Larg urvs o th thr word ompto varats, trms o th prtag o haratrs savd, masurd o prossg th 100,000word tst txt. At th maxma trag st sz o 10 mo words, th bas systm savs 14.5% kystroks. I otrast, th systm usg prvous haratr otxt savs 22.4% (a ratv ras o 54%), ad th systm usg th prvous word as otxt savs 19.6% (a ratv ras o 35%). Howvr, otxt sstvty oms at th ost o a argr mmory ootprt. Usg th sam ogarthm xaxs as Fgur 2, Fgur 3 dspays th umbr o tr ods dd at th varous trag st szs by th thr systms. Th yaxs s aso ogarthm. I ths ogog spa, th umbrs o tr ods dd by both two haratrburbasd systms, th otxtsstv bas, ad th systm usg th prvous haratr otxt hav a ar rato wth th umbr o trag stas. At th argst trag st sz th otxtsstv bas systm uss about 15 tms ss mmory tha th systm usg th haratr otxt: 1.7 mo ods vs mo ods. Sghty otrast, th amout o ods dd by th systm usg th prvous word as otxt taprs o wth mor trag data, dg up at about doub th amout o ods, 3.4 mo, ompard to th bas systm at th sam 10 mo trag words. Th mmory ootprt urv o ths systm v dspays a md dras, ausd by th at that th wordvaud atur th tr ds up a owr pa th ga rato atur rakg wh mor trag data s avaab.. wth mor trag data th atur s tstd dpr th tr, ausg ratvy ss ragmtato hghr up th tr. Bsds mmory ootprt, w woud k to sur that our varats ar ot xptoay sowr tha th bas, as th agorthm has to b ast ough to oow ra tm kystroks, th avrag spd o whh has b stmatd at 0.12 sods pr kystrok or a good typst, ad 0.28 sods or a bad typst [7]. Fgur 4 dspays th spd o th thr systms usg th sam ogarthm arg urv axs, masurd ovr th u 100,000 word tst st utrruptd assato mod, o a statothart mutor omputg srvr. Th gur shows that th spd o th thr systms, dspt thr wdy drg mmory ootprts, s qut smar, ad suty hgh. Th spd o a thr systms ds rom about 65 thousad haratrs (kystroks) pr sod 468 IO
5 tr ods No otxt Charatr otxt Top 200 word otxt Tab 1: Dr kystrok savgs o th doma 100,000word tst st, vs. th outodoma spotaous daogu tst st at th maxma trag st sz by th thr systms. % Kystroks savd Systm Irgstr tst Outorgstr tst Bas Charatr otxt Word otxt trag words trast wth th savgs o th rgstr tst st, by th thr systms. It s qut appart rom th two oums Tab 1 that th kystrok savgs o th tst st rom th drt rgstr ar dramatay owr, udr 10%. At th sam tm, th ratv gas by th otxtsstv mthods oow th sam pattr as obsrvd bor, ad v sghty bttr trms o ratv mprovmt. Fgur 3: Mmory usag o th thr word ompto varats, trms o th umbr o tr ods. to aroud 40 thousad haratrs pr sod or th two otxtsstv systms, ad aroud 50 thousad haratrs pr sod or th otxtsstv bas systm at 10 mo words o trag data. Ev th prossg ut o th mob dv s two ordrs o magtud sowr tha th AMD Optro hpst o our omputg srvr, t woud b ast ough to grat w suggstos mmdaty atr ah w kystrok. haratrs pr sod trag words No otxt Charatr otxt Top 200 word otxt Fgur 4: Spd o th thr word ompto varats, trms o th umbr o haratrs prossd pr sod. Th rsuts dspayd Fgurs 2, 3, ad 4 ar obtad wth th 100,000word tst st dsjot rom, but rom th sam org ad rgstr as th trag st o wspapr txts. As argud arr, a xtra tst st o a drt rgstr woud pos a pottay dut hag to th word ompto agorthm, just as gr, doma ad rgstr drs do aguag modg [14]. Tab 1 sts th kystrok savgs attad o th xtra tst st o trasrbd spotaous Duth atoa daogus, o 6. DISCUSSION I ths papr w xpord two varats o a bas word ompto systm, that mak us o prvousword otxt two drt ways. W ra smuato xprmts, masurg kystrok savgs, udr th assumpto that ths savgs ar a orrat o huma ort savd wh th word ompto agorthm woud b orporatd txt try sotwar. O varat uds th prvous haratr otxt up to a xd umbr o haratrs, wh th othr varat udd a rquythrshodd rprstato o th prvous word that was kyd bor th urrt o. Arguaby, th varat odg th u prvous word apturs th gust tuto that th dtty o th prvous word hods th rvat ormato, otrast to th prvous haratrs. O th othr had, th prvous haratrs do od th dtty o th prvous word or words mpty. Aso, thy hod parta ttrbyttr ormato o th d o th prvous word, apturg morphooga ormato o suxs ad tos, whh may arry prdtv ormato as w. Wth mor data, a systms prorm bttr, but wh th bas systm s prorma ga taprs o, th gas o th otxtsstv systms mprov ovr th bas, ad appar to ras at a ogar pa. At 10 mo words o trag data, th bst kystrok savgs prtag o 22.4% s attad by th systm usg th prvous haratr otxt, a ratv mprovmt o 54% ovr th bas savgs prtag o 14.5%. Uortuaty, ths optma savgs prtag oms wth th argst mmory ootprt. Gv that a straghtorward (uooma) mpmtato o th tr osts 20 byts pr od, th bstprormg systm woud rqur 524 Mb o workg mmory, whh s a asb amout o mmory o most urrt mob dvs. Th varat that uss th rquythrshodd prvous word as otxtua ormato uss substatay ss mmory ad oy about doub th amout o mmory that th bas systm uss. Th rquy thrshodg, tud by stg a optma top words o a hdout tst st, rsutd bg st to 200, whh s smar to th th typa umbr o uto words grma aguags (th top 200 most rqut Duth words ud most o th osdass uto word atgors suh as dtrmrs, ojutvs, proous, ad to a ssr dgr prpostos, ad ota ratvy w opass words). As a addtoa aayss, w ompard th y o our thr systms o a tst st that otas wdy drt typ o txt tha th trag st. Wh th trag st otas wspapr txt, th xtra outorgstr tst st otad a arg st o IO 469
6 trasrbd spotaous atoa ovrsatos about muda tops ad otag a ot o soa dsours ad hthat. Importaty, w rportd a dramat drop th kystrok savgs o ths typ o txt, to udr 10%. At th sam tm, w otd osdraby bttr savgs by th otxtsstv mthods as ompard to th bas systm. I utur work, o obvous xtso to th urrt matrx o xprmts s to mx th ros o trag ad tst sts systmatay (so that th trasrbd daogu orpus s aso trag st o st o xprmts), ad aso to grat a ombd trag st o th two rgstrs. Othr mor xtrm tst sts may b osdrd, whh abbrvatos ar usd typa o mob pho ad hat txt try, suh as w8 or wat, or whr th us o aguag s soppy ad u o spg ad grammar rrors. Both short words ad rrors pos a hag to word ompto agorthms, as w savgs a b mad wth short words, ad rrors osttut ukow toks. Othr avus o utur rsarh ud robustss to mutgua data, whh a b s as a xtrm orm o drt rgstrs; raty, t s qut ky that may usrs w atuay grat drt txts drt rgstrs ad aguags o th sam dv. Aso, prsoazato ad rmta trag ad adaptato to dvdua usrs shoud b tgratd th urrt approah, as w as adaptabty to kyboards wth ss kys tha th aguag has haratrs (suh as mob pho kypads, or QWERTYkyboards or rta Asa aguags). 7. VALORIZATION Word ompto subsystms ar rquty udd ommuato ads ordr to ras th usr s rat o ommuato. Ads or prdtv txt try hav svra mportat appatos, wth mprovd ass or pop wth dsabts bg amog th most mportat os. Pop wth svr motor ad ora dsabts suh as rbra pasy or hmpga a graty bt rom toos that ab thm to ras thr ommuato spd [3]. For may yars, prdtv txt try thqus hav aso oud appato aguags wth argvoum haratr sts suh as Chs or Japas, whr th stadard kyboard dos ot hav ough kys to aommodat a th haratrs prst th aguag. Hr, typg ads a ab th projto o a wd rag o haratrs wth a mtd umbr o kys; at, ths s urrty th major mthod o sovg ths probm [13]. Othr popuar appatos o prdtv txt try ar put stuatos wth a rdud umbr o kys, suh as mob phos, ad stuatos wthout drt tat dbak, suh as styusopratd touh srs. Most urrt mob phos ar quppd wth som vrso o a word ompto agorthm; th T9 agorthm [5], or sta, s amd to b shppd wth 2.5 bo dvs 2, o th bass o whh th owrs oud am to hav th most wdy dstrbutd p o aguag thoogy th word. Our partuar otrbuto to th urrt stat o th art word ompto thoogy s that w ormuat rommdatos o how th y o ths thoogy a b mprovd, at ary mtd osts (a mdy hghr mmory ootprt). Our arg urv xprmts or a too to hart th trado btw havg mor trag matra ad mor otxt sstvty (ausg hghr txt try y) ad dg mor mmory. As mmory mtatos o mob dvs ar graduay ad stady bg rdud, our rommdatos oud b usd by mob dv dvoprs to support th dso to mov rom a ratvy mtd word om / tg.asp pto systm to a ss ostrad otxtsstv systm, org ustomrs a otaby bttr srv. Akowdgmts Th rsarh rportd ths papr has b udd by th Duth Mstry o Eoom Aars, udr ts Iovato Programm o MaMah Itrato, IOP MMI. Th authors wsh to thak Mo va Zaa, Hrma Sthouwr, Ptr Brk, othr mmbrs o th ILK (Tburg) ad ILPS (Amstrdam) rsarh groups, ad Frak Hostd or ommts ad suggstos. 8. REFERENCES [1] W. Damas, A. Va d Bosh, ad A. Wjtrs. IGTr: Usg Trs or Comprsso ad Cassato Lazy Larg Agorthms. Arta Itg Rvw, 11: , [2] J. J. Darragh, I. H. Wtt, ad M. L. Jams. Th Ratv Kyboard: A Prdtv Typg Ad. Computr, 23(11):41 49, [3] N. GarayVtora ad J. Abasa. Txt Prdto Systms: A Survy. Uvrsa Ass th Iormato Soty, 4(3): , [4] J. Goodma, G. Voa, K. Stury, ad C. Parkr. Laguag Modg or Sot Kyboards. I Prodgs o IUI 02, pags , Nw York, NY, USA, ACM. [5] D. L. Grovr, M. T. Kg, ad C. A. Kushr. Rdud Kyboard Dsambguatg Computr. Patt No. US , Tg Commuatos, I., Satt, WA, Otobr [6] Y. How ad M.Y. Ka. Optmzg Prdtv Txt Etry or Short Mssag Srv o Mob Phos. I M. J. Smth ad G. Savdy, dtors, Prodgs o HCII 05, Las Vgas, NV, Juy Lawr Erbaum Assoats. [7] D. Kras ad B. Joh. Th GOMS Famy o Aayss Thqus: Toos or Dsg ad Evauato. Tha Rport CMUHCII94106, Carg Mo Uvrsty, [8] D. E. Kuth. Th Art o Computr Programmg, voum 3: Sortg ad Sarhg. AddsoWsy, Radg, MA, [9] I. S. MaKz, H. Kobr, D. Smth, T. Jos, ad E. Skpr. LttrWs: PrxBasd Dsambguato For Mob Txt Iput. I Prodgs o UIST 01, pags , Nw York, NY, USA, ACM. [10] J. Qua. C4.5: Programs or Mah Larg. Morga Kauma, Sa Mato, CA, [11] C. Shao. A Mathmata Thory o Commuato. B Systms Tha Joura, 27: ad , [12] T. Stoky, A. Faaborg, ad H. Lbrma. A Commoss Approah to Prdtv Txt Etry. I CHI 04: CHI 04 Extdd Abstrats o Huma Fators Computg Systms, pags , Nw York, NY, USA, ACM. [13] K. TaakaIsh. Wordbasd Prdtv Txt Etry usg Adaptv Laguag Mods. Natura Laguag Egrg, 13(1):51 74, [14] A. Va d Bosh. Saab Cassatobasd Word Prdto ad Cousb Corrto. Tratmt Automatqu ds Lagus, 46(2):39 63, IO
Problem Set 6 Solutions
6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig
Binary Search Trees. Definition Of Binary Search Tree. Complexity Of Dictionary Operations get(), put() and remove()
Binary Sar Trs Compxity O Ditionary Oprations t(), put() and rmov() Ditionary Oprations: ƒ t(ky) ƒ put(ky, vau) ƒ rmov(ky) Additiona oprations: ƒ asnd() ƒ t(indx) (indxd inary sar tr) ƒ rmov(indx) (indxd
OFFSHORE INTERNATIONAL MARINE PERSONNEL SERVICES, INC. EMPLOYMENT APPLICATION
OFFSHORE INTERNATIONAL MARINE PERSONNEL SERVICES, INC. 3802 W. Nvy Bvd Po, FL 32507 Tho: (850) 455-2995 Tx: (850) 455-3033 www.oho-.om EMPLOYMENT APPLICATION Poo Ay Fo Nm: F L SS# - - Add Cy/S Z Pho: Hom
Department of Natural Resources
Dpartt o Natura Rsourcs DIVISION OF AGRICULTURE Northr Rio Oic 1648 S. Cusha St. #201 Fairbas, Aasa 99701-6206 Mai: 907.328.190 Far to Schoo Cha Ectroic Appicatio Istructios 1. Pas i out th ctroic survy
Comparing plans is now simple with metal plans. What Does it Mean to Have a 6-Tier Pharmacy Plan? Tie. Individual Health Insurance
Compg p ow mp wth mt p Iu p py 0% 0% Iu p py T T T T T T 0% t to M G - No G B No B Iu p py 0% Iu p py Iu Hth Iu Mt p po you wth ho. Th m wth mt p th ptg you p w gy py o. 0% A Hth O tm. Cot. Cg o you. Wh
is knowing the car market inside out.
Exprts s knowng th car markt nsd out. Vokswagn Group Lasng s both a ft managmnt company and a dvson of Vokswagn Fnanca Srvcs (UK) Lmtd. Ths aows us to offr a comprhnsv rang of srvcs wth packags to sut
Finite Dimensional Vector Spaces.
Lctur 5. Ft Dmsoal Vctor Spacs. To b rad to th musc of th group Spac by D.Maruay DEFINITION OF A LINEAR SPACE Dfto: a vctor spac s a st R togthr wth a oprato calld vctor addto ad aothr oprato calld scalar
TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS
MPRA Muich Prsoal RPEc Archiv TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS Mahbub Parvz Daffodil Itratioal Uivrsy 6. Dcmbr 26 Oli at
ENGINEERING COMPUTATION BY ARTIFICIAL NEURAL NETWORKS. Explaining Neural Networks
SRK oaz Poltcha Pozaa Ittut Mcha Stooa ul. Potroo 3, 6-965 Poza EGIEERIG COMPUAIO BY ARIFICIA EURA EWORKS Eplag ural tor ural tor ar copod o pl lt opratg paralll. h lt ar prd b bologcal rvou t. A atur,
PREFERRED LIFE INSURANCE NORTH AMERICA
PREFERRED LIFE INSURANCE NORTH AMERICA Dat: Spt, 2011 Ditr Gaubatz Agda 1. Copt 2. History 3. Data 4. Futur 1 Copt No-prfrrd plas Normal mortality risk valuatio pross P r v a l ^ i r a s Issud at stadard
Venture Capital Financing : A Theoretical Model
Joural of Appld Busss ad Eoos Vtur Captal Fag : A Thortal odl odhr Chrf Uvrsty of Rs O-LAE Saa Elouar SG Souss Ths papr vstgats vtur aptal fag a vrot whr a aagr fas a prft aptal arkt ad a vtur aptalst
Yuriy Alyeksyeyenkov 1
Çanaa Ünvrss Fn-Eba Faüs Journa of Ars an Sns Sa : 9 / a s 8 Cauaon of Sgna Sours Coornas In D An D Spa ur Asnov Absra hos of auaons of oorna of sgna sours whh ar nassb an r masurmn of hr proprs s mpossb
Learning & Development
Larg & Dvlopmt Offrg ad Proc Updat Octobr 29th, 2012 Roara Torra, L&D Global Soluto Archtct Copyrght 2012 E. I. du Pot d Nmour ad Compay. All rght rrvd. Th DuPot Oval Logo, DuPot, Th mracl of cc ad all
Sun Synchronous Orbits for the Earth Solar Power Satellite System
Sun Synchrnus Orbts fr th Earth Sar Pwr Satt Systm Sm f th mst prmsng rbts fr th Earth Sar Pwr Systm ar crcuar Sun synchrnus rbts whch nvr ntr Earth's shaw. In ths rbts, gravty grant stabz "pwr twrs" w
Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman
Cloud and Big Data Summr Scool, Stockolm, Aug., 2015 Jffry D. Ullman Givn a st of points, wit a notion of distanc btwn points, group t points into som numbr of clustrs, so tat mmbrs of a clustr ar clos
QUANTITATIVE METHODS CLASSES WEEK SEVEN
QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.
Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years
Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957
GROUP MEDICAL INSURANCE PROPOSAL FORM GROUP MEDICAL INSURANCE PROPOSAL FORM
Call us: 920012331 www.acig.com.sa Allid Cooprativ Isurac Group (ACIG) شركة املجموعة املتحدة للتاأمني التعاوين ) أ سيج( GROUP MEDICAL INSURANCE GROUP MEDICAL INSURANCE Clit Dtails: - GROUP MEDICAL INSURANCE
at 10 knots to avoid the hurricane, what could be the maximum CPA? 59 miles - 54 nm STEP 1 Ship s Speed Radius (e-r) 10 k - 1.0 nm every 6 minutes
:1 Navigatio :1 Gal 1 1 1 Rf: P, Huica You a udway o cous T ad you axiu spd is 1 kots. Th y of a huica bas 1 T, ils fo you positio. Th huica is ovig towads T at 1 kots. If you auv at 1 kots to avoid th
5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power
Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim
TELL YOUR STORY WITH MYNEWSDESK The world's leading all-in-one brand newsroom and multimedia PR platform
TELL YOUR STORY WITH MYNEWSDESK Th world's lading all-in-on brand nwsroom and multimdia PR platform SO WHAT'S THE STORY WITH MYNEWSDESK? Th world s lading all-in-on nwsroom and digital PR platform. Usd
Online Insurance Consumer Targeting and Lifetime Value Evaluation - A Mathematics and Data Mining Approach
Ol Isurac Cosumr Targtg ad Lftm Valu Evaluato - A Mathmatcs ad Data Mg Approach Yuaya L,2, Gal Cook 3 ad Olvr Wrford 3 Rvr ad Harbor Dpartmt, Najg Hydraulc Rsarch Isttut, Najg, 224, 2 Ky Laboratory of
Lecture 7. Norms and Condition Numbers
Lecture 7 Norms ad Codto Numbers To dscuss the errors umerca probems vovg vectors, t s usefu to empo orms. Vector Norm O a vector space V, a orm s a fucto from V to the set of o-egatve reas that obes three
ELECTRICAL CAPACITY SYMBOL EQUIPMENT TYPE LOCATION / SERVING MFR MODEL (GALLONS) VOLTS PH AMPS WATTS
OT: This is a stadard symbol list ad ot all items listed may be used. bbreviatios () XT OV OOR OW OOR P OW PRVTR OT R OT. OTTO V VV W O WTR R OT TR OW T TR O OOR OT OOR R T T O P O PR OR P O PR T W R WT,
Magic Message Maker Amaze your customers with this Gift of Caring communication piece
Magic Mssag Makr maz your customrs with this Gift of aring communication pic Girls larn th powr and impact of crativ markting with this attntion grabbing communication pic that will hlp thm o a World of
Binary Search Trees. Definition Of Binary Search Tree. The Operation ascend() Example Binary Search Tree
Binary Sar Trs Compxity O Ditionary Oprations t(), put() and rmov() Ditionary Oprations: ƒ t(ky) ƒ put(ky, vau) ƒ rmov(ky) Additiona oprations: ƒ asnd() ƒ t(indx) (indxd inary sar tr) ƒ rmov(indx) (indxd
Term Structure of Interest Rates: The Theories
Handou 03 Econ 333 Abdul Munasb Trm Srucur of Inrs Ras: Th Thors Trm Srucur Facs Lookng a Fgur, w obsrv wo rm srucur facs Fac : Inrs ras for dffrn maurs nd o mov oghr ovr m Fac : Ylds on shor-rm bond mor
LAB 3: VELOCITY AND ACCELERATION GRAPHS
Goas: LAB 3: ELOCITY AND ACCELERATION GRAPHS Invstigat accration vs. tim graphs Prdict accration graphs from vocity graphs Invstigat accration as sop of vocity vs. tim graph Part 1 - Making ocity- Graphs
1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).
PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a
A Portfolio Risk Management Perspective of Outsourcing
A Portolio Risk Maagt Prsptiv o Outsourig Todd Littl, Ladark Graphis O o th hallgig issus with outsourig, partiularly wh lookig to oshor providrs, is dtriig whih projts to outsour ad how to bala a ovrall
Logo Design/Development 1-on-1
Logo Dsign/Dvlopmnt 1-on-1 If your company is looking to mak an imprssion and grow in th marktplac, you ll nd a logo. Fortunatly, a good graphic dsignr can crat on for you. Whil th pric tags for thos famous
Dehumidifiers: A Major Consumer of Residential Electricity
Dhumidifirs: A Major Consumr of Rsidntial Elctricity Laurn Mattison and Dav Korn, Th Cadmus Group, Inc. ABSTRACT An stimatd 19% of U.S. homs hav dhumidifirs, and thy can account for a substantial portion
Evaluating Direct Marketing Practices On the Internet via the Fuzzy Cognitive Mapping Method
Itratoal Joural of Busss ad Maagmt Dcmbr, 28 Evaluatg Drct Marktg Practcs O th Itrt va th Fuzzy Cogtv Mappg Mthod Slcuk Burak Hasloglu (Corrspodg author) Dpartmt of Marktg, Faculty of Ecoomc ad Admstratv
Evaluating Microsoft Hyper-V Live Migration Performance Using IBM System x3650 M3 and IBM N series N5600
Lv Mgrato of Workloads o 10GbE vs. 1GbE Ntworks Ju 2011 Evaluatg Mcrosoft Hypr-V Lv Mgrato Prformac Usg IBM Systm x3650 M3 ad IBM N srs N5600 Kt R. Swal IBM Systms ad Tchology Group W Lu NtApp Bra Johso
Menu Structure. Section 5. Introduction. General Functions Menu
Menu Structure Section 5 Introduction General Functions Menu Most workstation functions are accessed by menu selections. This section explains the menu structure and provides a tree structured view of
Authenticated Encryption. Jeremy, Paul, Ken, and Mike
uthntcatd Encrypton Jrmy Paul Kn and M Objctvs Examn thr mthods of authntcatd ncrypton and dtrmn th bst soluton consdrng prformanc and scurty Basc Componnts Mssag uthntcaton Cod + Symmtrc Encrypton Both
Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)
con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc
Traffic Information Estimation Methods Based on Cellular Network Data
TOPCO 崇 越 論 文 大 賞 論 文 題 目 ( 以 中 文 繕 寫 論 文 者 請 用 中 文 題 目 英 文 繕 寫 者 請 用 英 文 ): Traffc Informaton Estmaton Mthods Basd on Cuar Ntwork Data 報 名 編 號 : AI002 基 於 蜂 巢 網 路 資 料 之 交 通 資 訊 估 計 方 法 摘 要 近 年 來 隨 著 經
The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.
Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl
Average Price Ratios
Average Prce Ratos Morgstar Methodology Paper August 3, 2005 2005 Morgstar, Ic. All rghts reserved. The formato ths documet s the property of Morgstar, Ic. Reproducto or trascrpto by ay meas, whole or
Transistor is a semiconductor device with fast respond and accuracy. There are two types
Tranitor Amplifir Prpard y: Poa Xuan Yap Thory: Tranitor i a miondutor dvi with fat rpond and auray. Thr ar two typ of tranitor, a Bipolar Juntion Tranitor and a Fild Efft Tranitor. Hr, w will looking
Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means
Qian t al. Journal of Inqualitis and Applications (015) 015:1 DOI 10.1186/s1660-015-0741-1 R E S E A R C H Opn Accss Sharp bounds for Sándor man in trms of arithmtic, gomtric and harmonic mans Wi-Mao Qian
A Statistical Approach to Classify and Identify DDoS Attacks using UCLA Dataset
ISSN: 78 133 Itratoal Joural Advad Rarh Comutr Egrg & Thology (IJARCET) Volum, No 5, May 013 A Stattal Aroah to Clafy ad Idtfy DDoS Attak ug UCLA Datat Thw Thw Oo, Thadar Phyu Abtrat Nowaday, Itrt th mot
Consistency Test on Mass Calibration of Set of Weights in Class E 2 and Lowers
Prodgs of th 17 th Itrtol Cofr o For, Mss, Torq d Prssr Msrts, IMEKO TC3, 17-1 St. 001, Istbl, Trky Cossty Tst o Mss Clbrto of St of Wghts Clss E d Lowrs Ls Or Brr, Igo Hrádz, Jorg Nv, Fél Pzt Ntol Ctr
REFINED CALCULATION AND SIMULATION SYSTEM OF LOCAL LARGE DEFORMATION FOR ACCIDENT VEHICLE
2 3 4 5 6 7 8 9 0 2 3 4 5 6 7 8 9 20 2 22 23 24 25 26 27 28 29 30 3 32 33 34 35 36 37 38 39 40 4 42 43 44 REFINED CALCULATION AND SIMULATION SYSTEM OF LOCAL LARGE DEFORMATION FOR ACCIDENT VEHICLE WagFag
10.5 Future Value and Present Value of a General Annuity Due
Chapter 10 Autes 371 5. Thomas leases a car worth $4,000 at.99% compouded mothly. He agrees to make 36 lease paymets of $330 each at the begg of every moth. What s the buyout prce (resdual value of the
Outside Cut 1 of fabric Cut 1 of interfacing
a a Outsi Cut o abric Cut o intracing a a b b Outsi Cut o abric Cut o intracing Placmnt lin or Mony Pockts Dix Not: F. Cut Fol b. Pin t /8 in 5. Nx bottom pics sw th 6. For t Prss, 7. Lay togth on th 8.
Online Load Balancing and Correlated Randomness
Onln Load Balancng and Corrlatd Randomnss Sharayu Moharr, Sujay Sanghav Wrlss Ntworng and Communcatons Group (WNCG) Dpartmnt of Elctrcal & Computr Engnrng Th Unvrsty of Txas at Austn Austn, TX 787, USA
10/19/2011. Financial Mathematics. Lecture 24 Annuities. Ana NoraEvans 403 Kerchof [email protected] http://people.virginia.
Math 40 Lecture 24 Autes Facal Mathematcs How ready do you feel for the quz o Frday: A) Brg t o B) I wll be by Frday C) I eed aother week D) I eed aother moth Aa NoraEvas 403 Kerchof [email protected] http://people.vrga.edu/~as5k/
Rural and Remote Broadband Access: Issues and Solutions in Australia
Rural and Rmot Broadband Accss: Issus and Solutions in Australia Dr Tony Warrn Group Managr Rgulatory Stratgy Tlstra Corp Pag 1 Tlstra in confidnc Ovrviw Australia s gographical siz and population dnsity
SCHOOL PESTICIDE SAFETY AN D IN TEG R ATED PEST M AN AG EM EN T Statutes put into law by the Louisiana Department of Agriculture & Forestry to ensure the safety and well-being of children and school personnel
Probabilistic maintenance and asset management on moveable storm surge barriers
Probabilistic maintnanc an asst managmnt on movabl storm surg barrirs Patrick Wbbrs Ministry of Transport, Public Works an Watr Managmnt Civil Enginring Division A n a l y s O n r h o u F a a l k a n s
2. Evaluation of the probability characteristics of vehicles coming out of order
Traspor ad Tcoucao Vo3 3 TATITICAL ROBABILITY ODEL FOR VEHICLE FLEET AAGEET Adoas Baubs Vus Gdas Tchca Uvrs Traspor Rsarch Isu ės g 7 LT-4 Vus Lhuaa Fa: 37--3 56 3 E-a: abaubs@akas o agorhs o orcas daagd
Approximate Counters for Flash Memory
Approximat Coutrs for Flash Mmory Jack Cichoń ad Wojcich Macya Istitut of Mathmatics ad Computr Scic Wrocław Uivrsity of Tchology, Polad Abstract Flash mmory bcoms th a vry popular storag dvic Du to its
SPECIAL VOWEL SOUNDS
SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)
Entity-Relationship Model
Entity-Rlationship Modl Kuang-hua Chn Dpartmnt of Library and Information Scinc National Taiwan Univrsity A Company Databas Kps track of a company s mploys, dpartmnts and projcts Aftr th rquirmnts collction
Category 7: Employee Commuting
7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil
Modern Portfolio Theory (MPT) Statistics
Modrn Portfolo Thory (MPT) Statstcs Mornngstar Mthodology Papr Novmr 30, 007 007 Mornngstar, Inc. All rghts rsrvd. Th nformaton n ths documnt s th proprty of Mornngstar, Inc. Rproducton or transcrpton
C e r t ifie d Se c u r e W e b
C r t ifi d S c u r W b Z r t ifizi r t Sic h r h it im W b 1 D l gat s N ic o las M ay n c o u r t, C EO, D r am lab T c h n o lo gi s A G M ar c -A n d r é B c k, C o n su lt an t, D r am lab T c h n
SAN JOSE UNIFIED RETURNING VOLUNTEER DRIVER PACKET
SAN JOSE UNIFIED ETUNING VOLUNTEE DIVE PACKET VOLUNTEE DIVE S NAME: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME
FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data
FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among
Campus Sustainability Assessment and Related Literature
Campus Sustainability Assessment and Related Literature An Annotated Bibliography and Resource Guide Andrew Nixon February 2002 Campus Sustainability Assessment Review Project Telephone: (616) 387-5626
Knowledge as a Service
Kwdg v Bg dym kwdg y m mx WD, A Xx Cmpy pvd m-h kwdg mgm, m d y hp bd dv m ffv m v xp. WD Kwdg v dp y m h p wh zd, dym d p f kwdg pvd ffv d pp f y m h mx. Why gd m kwdg mp? A gz f g m, mvg mh ff pb w-
PIN #1 ID FIDUCIAL LOCATED IN THIS AREA TOP VIEW. ccc C SIDE VIEW
Packag iagrams ruary 20 all W Packag Option : i0 P imnsions in illimtrs ata ht r PI # I IUI OT I TI R (X) 2 OTTO VIW. X Ø s TOP VIW Ø.0 Ø.0 I VIW OT:. IIO TOR PR Y. 99. 2. IIO R I IITR. IIO I UR T T XIU
Chapter 20: Database Programming
Chapr 20: Daaa Prgrammig Pag 303 Chapr 20: Daaa Prgrammig Thi chapr wi hw hw BASIC-256 ca cc a imp raia aaa a u i r a rriv ufu ifrmai. Wha i a Daaa: A aaa i impy a rgaiz cci f umr, rig, a hr yp f ifrmai.
1. Online Event Registration 2. Event Marketing 3. Automated Event Progress Reports 4. Web based Point of Sale Terminal 5. Email Marketing System
2 t v E S d Ivit 3 M o it o r ro la 1 r g 1 Oli Evt Rgitratio 2 Evt Marktig 3 Automatd Evt rogr Rport 4 Wb bad oit of Sal Trmial 5 Email Marktig Sytm ag 1 of 6 Copyright 2004-2011 myvillag oli Evt Maagmt
REVISTA INVESTIGACIÓN OPERACIONAL VOL., 32, NO. 2, 93-106, 2011
REVISA IVESIGACIÓ OPERACIOAL VOL., 3, O., 93-6, A IEGRAED IVEORY POLICY WIH DEERIORAIO FOR A SIGLE VEDOR AD MULIPLE BUYERS I SUPPLY CHAI WHE DEMAD IS QUADRAIC ta H. Shah,Ajay S. Gor ad Chta Jhavr Dpartmt
CLOUD COMPUTING BUSINESS MODELS
da MODLS Atlir d l iova CLOUD COMPUTING MODLS Chair coomi d l iova - Mourad Zroukhi C d chrch Écoomi t Maagmt Uivrsité d Chair coomi d l iova - da MODLS AGNDA Cloud Computig : What is it? Cloud Dploymt
CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY. Outcome 10 Regulation 11 Safety and Suitability of Premises
CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY Outcom 10 Rgulation 11 Safty and Suitability of Prmiss CQC Rf 10A 10A(1) Lad Dirctor / Lad Officr Rspons Impact Liklihood Lvl of Concrn
Matching Execution Histories of Program Versions
Mt Exuto Hstors o Prorm Vrsos Xyu Z Rv Gupt Dprtmt o Computr S T Uvrsty o Arzo Tuso, Arzo 85721 {xyz,upt}@s.rzo.u ABSTRACT W vlop mto or mt ym stors o prorm xutos o two prorm vrsos. T mts prou usul my
Essence of the Projector Augmented Wave (PAW) Method used in QMAS
ss o h Poo ugd Wv PW Mhod usd MS Mso Kohy sh Isu o Ubquous gy Dvs No Isu o dvd Idus S d hoogy Id Os J [email protected]. No Isu o dvd Idus S & hoogy IS Ou o u. Psudo-Pos d Poos &. soo hoy: Wv Fuos xo Vus d Chg
H ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct
H ig h L e v e l O v e r v iew S te p h a n M a rt in S e n io r S y s te m A rc h i te ct OPEN XCHANGE Architecture Overview A ge nda D es ig n G o als A rc h i te ct u re O ve rv i ew S c a l a b ili
Lecture 20: Emitter Follower and Differential Amplifiers
Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.
DEVELOPMENT OF MODEL FOR RUNNING DIESEL ENGINE ON RAPESEED OIL FUEL AND ITS BLENDS WITH FOSSIL DIESEL FUEL
ENGINEERING FOR RURAL DEVELOPMENT Jlgava, 3.-4.5.3. DEVELOPMENT OF MODEL FOR RUNNING DIESEL ENGINE ON RAPESEED OIL FUEL AND ITS BLENDS WITH FOSSIL DIESEL FUEL Ilmars Dukuls, Avars Brkavs Latva Uvrsty of
Personalized Web Search by User Interest Hierarchy
Prsonalzd Wb arch by Usr Intrst Hrarchy Abstract Most of th wb sarch ngns ar dsgnd to srv all usrs, ndpndnt of th nds of any ndvdual usr. Prsonalzaton of wb sarch s to carry out rtrval for ach usr ncorporatng
PRESS RELEASE Sw y x e m b r a c e s En t e r p r i s e m a r k e t w i t h l a u n c h o f n e w I P t e l e p h o n y p o r t f o l i o t h r o u g h a s i n g l e c o m m o n p l a t f o r m - New offerings
Traffic Flow Analysis (2)
Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,
The Casino Experience
Th Casino Expin with Mahi s authnti Indian uisin Lt us nttain you Th Casino Expin 10 Th Staight Flush Expin 20 p ps If you looking fo a gat night out, a Casino Expin patnd This is a gat intoduti to gaing
Buffer Management Method for Multiple Projects in the CCPM-MPL Representation
Industra ngnrng & Managmnt Systms Vo No 4 Dcmbr 22 pp.397-45 ISSN 598-7248 ISSN 2234-6473 http://dx.do.org/.7232/ms.22..4.397 22 KII Buffr Managmnt Mthod for Mutp Projcts n th CCPM-MP Rprsntaton Nguyn
Question 3: How do you find the relative extrema of a function?
ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating
www.akcp.com Virtual Sensors
www.akcp.cm Irduci: Virual Ssrs Virual ssrs ca b a vry pwrful l i yur mirig sysm. O h scuriyprb yu ca hav up 80 f hs virual ssrs ad hy allw fr a muliud f applicais. Igrai wih MODBUS wrks wih h scuriyprb
U.S. Department of Housing and Urban Development: Weekly Progress Report on Recovery Act Spending
U.S. Department of Housing and Urban Development: Weekly Progress Report on Recovery Act Spending by State and Program Report as of 3/7/2011 5:40:51 PM HUD's Weekly Recovery Act Progress Report: AK Grants
CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions
CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:
Simulation of Derivative Characteristics of Broadband Quantum Dot Lasers
USOD 007 wark D Simuation of Drivativ Charactristics of Broadband Quantum Dot Lasrs C. L. an Y. Wan H. S. Di* B. S. Ooi Cntr for Optica chnoois and Dpartmnt of ctrica and Computr ninrin Lhih Univrsity
[ ] These are the motor parameters that are needed: Motor voltage constant. J total (lb-in-sec^2)
MEASURING MOOR PARAMEERS Fil: Motor paramtrs hs ar th motor paramtrs that ar ndd: Motor voltag constant (volts-sc/rad Motor torqu constant (lb-in/amp Motor rsistanc R a (ohms Motor inductanc L a (Hnris
PRIMER TESTIMONIO. -F o l i o n ú m e r o 1 2 0. ḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋḋ ESC RITU RA NU MERO TREINTA.- E n l a c i u d a d d e B u e n os A i r e s, c a p i t a l d e l a R e p ú b l i c
5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:
.4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This
SIV for VoiceXM 3.0: a n g u a g e a n d A p p l ica t ion D es ig n C on s id era t ion s Ken Rehor C i s c o S y s t em s, I nc. [email protected] March 05, 2009 G VoiceXM Application Architecture PSTN
JCUT-3030/6090/1212/1218/1325/1530
JCUT CNC ROUTER/CNC WOODWORKING MACHINE JCUT-3030/6090/1212/1218/1325/1530 RZNC-0501 Users Guide Chapter I Characteristic 1. Totally independent from PC platform; 2. Directly read files from U Disk; 3.
Initial inventory levels for a book publishing firm
Mőhlytaulmáy Vállalatgazdaságta Itézt 93 Budapst, Fıvám tér 8. (+36 ) 482-5566, Fax: 482-5567 www.u-crvus.hu/vallgazd Ital vtry lvls fr a b publshg frm Imr Dbs Ágs Wmmr 23. sz. Mőhlytaulmáy HU ISSN 786-33
Put the human back in Human Resources.
Put the human back in Human Resources A Co m p l et e Hu m a n Ca p i t a l Ma n a g em en t So l u t i o n t h a t em p o w er s HR p r o f essi o n a l s t o m eet t h ei r co r p o r a t e o b j ect
ESA Support to ESTB Users
ESA Support to ESTB Usrs Dr. Javir Vntura-Travst Europan Spac Agncy 3 rd ESTB Workshop Nic 12 Novmbr 2002 OUTLINE! ESA ESTB wbsit support! Th ESTB/EGNOS Hlpdsk! Th ESTB Nwslttr! Th ESA SISNET tchnology!
Rural Debt, NVFP,& Share Market Capitalisation
1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 21 23 25 27 29 211 B Rs Rcostruct or Ratoaz Agrcutur? B Rs; B. Eco.; M. Ltt. (co.) Papr prstd: Agrcutur Crss - Ratoas or Rcostruct
Saving Through Trailer Tracking
SEE WHAT S HAPPENING. CUT RENTAL COSTS. Losing track of rntal trailrs is on of th worst things that can happn to you, lading to unncssary and costly rntal chargs. A Brkshir Hathaway Copany A Brkshir Hathaway
Preprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time.
Computatoal Geometry Chapter 6 Pot Locato 1 Problem Defto Preprocess a plaar map S. Gve a query pot p, report the face of S cotag p. S Goal: O()-sze data structure that eables O(log ) query tme. C p E
A Place to Choose Quality, Affordable Health Insurance
MI O A ʼ H A L HI U R A C X C H A G mp w n gm n n af a m ma k a h a b u h a m a M nn ha h n u an x hangw mp v mp nbyn u ag ng n u andha h a p v d p a g a unqua yanda dab y M nn a am w avv $1b nbyu ng hx
