DATAPLAY: Mapping Game Mechanics to Traditional Data Visualization
|
|
|
- Norman McCormick
- 10 years ago
- Views:
Transcription
1 DATAPLAY Mappn Gam Mchancs to Tadtonal Data Vsalzaton Colln Mackln Pasons Th Nw School fo Dsn 2 W. 13 th St., Nw Yok, NY [email protected] Jla Waask Pasons Th Nw School fo Dsn 2 W. 13 th St., Nw Yok, NY [email protected] ABSTRACT In Wllam Playfa's 1786 book, Th Commcal and Poltcal Atlas, h stats that nfomaton, mpfctly acqd, s nally as mpfctly tand. [6] Playfa s commntn on th fal of tabls to psnt compaatv data n way that was sfl to th ad. Snc Playfa, many dffnt foms of mda hav asn byond nk and pap. Yt pntd chats (o th dtal psntatons) man, by fa, th most commonly sd tools of data vsalzaton. Th volton ov many cnts has allowd thm to achv a d of sophstcaton that tm-basd and ntactv psntatons hav yt to achv. Is th spmacy of pntd (o pnt-lk) data vsalzaton to man nchallnd? Wold t vn nd to b? Th athos contnd that nw appoachs may b possbl, and vn ncssay, bt wold q tappn nto a dffnt way of lann that was not stctly abot manan th shot tm vsal and adtoy mmoy of th ads [3]. Ths lann wold nvolv lss th xpnc of adn and mo that of dct xpnc thoh play and ams. Jsp Jl contnds that all ams a lann systms [2]. That s, to play a am and bcom ood at t, th play mst lan th ncssay sklls and stats to ovcom th opposton. If th oal of data vsalzaton s dcatonal, t may b possbl to s spcfc typs of ams as ways of psntn spcfc typs of data. It may b possbl fo a play to lan th systm of th am and th systm of th nfomaton toth. Th athos hav blt th am pototyps that llstat th ways n whch dffnt foms of data can b psntd n th fom of dtal ams. Th fst pototyp, Kmono Colos, s basd on data fom a coss-fncd tabl that dscbs th typs of ndnts sd to cat tadtonal Japans dys n th podcton of kmonos. Th co mchanc [4] of th am has th play fshn Mchal Edwads Pasons Th Nw School fo Dsn 2 W. 13 th St., Nw Yok, NY [email protected] Kan Yan L Pasons Th Nw School fo Dsn 2 W. 13 th St., Nw Yok, NY [email protected] fo colos sn on of sval dys th play has collctd. By fshn fo ths colos, plays lan th latonshps btwn matals and th manfact of dy. Th scond pototyp, Mannahatta Th Gam, asks plays ltally to walk aond Manhattan and connct th lvn and non-lvn lmnts of a dctd aph psntn th coloy of th sland 400 yas ao. Playd ov an Phon, ss plac thmslvs n th mddl of th datast thy a pcn back toth. Th thd pototyp, Ts of Tad, ss data fom two dctd aphs of latonshps, colocal and commcal, n a Bazlan Atlantc an-fost cosystm. Th am nvolvs th plays -stablshn th tophc lvls of th fost by navatn thoh th latonshps and nstn th mssn spcs on an dalzd map. Thoh play, th s wll btt ndstand th lmnts of a systm that s typcally llstatd n a statc, two dmnsonal dctd aph llstaton. Two qstons stm fom ths pototyps can data cat play and can play nlhtn data? To answ th fst qston affmatvly, w nd to fnd vdnc that a systm catd by data has th ablty to podc choc molcls [4]. That s, n th fom of a am, dos th stct of data allow th play to mak ntstn chocs abot how to pocd as h o sh navats and laboats th data? If so, thn th data n qston can cat play, whch n tn can dv th dvlopmnt of a fll-fldd am. As fo th scond qston, f th fst answ holds, thn th play s, n th cos of a am, playn wth th data. If th chocs mad avalabl to a play a stablshd n sch a way that th play lvls p thoh th nfomaton, thn th achvmnt of th ams oals wll b concdnt wth th ndstandn of th data tslf. By actvly manplatn and sn th data to wn th am, th play wll nd to ndstand th facts and Bakn Nw Gond Innovaton n Gams, Play, Pactc and Thoy. Pocdns of DGRA Athos & Dtal Gams Rsach Assocaton (DGRA). Psonal and dcatonal classoom s of ths pap s allowd, commcal s qs spcfc pmsson fom th atho.
2 latonshps nhnt n th data tslf, ths podcn th dsd dcatonal otcom and a at snstvty to th systms that data psnts. Atho Kywods data, vsalzaton, ams, am mchancs, coloy, hstoy, dcaton DOMAIN W, as ads, mmdatly ndstand how to ad a scatt plot, a tm ss, a p chat, and ntwok aph. Moov, a snl, two-dmnsonal ma has th bnft of bn n font of th ad all at onc, not taxn th shot-tm vsal mmoy o qn th s to backtack o scb to fnd ky data ponts, as n tm-basd mda lk vdo. All hmans hav lmtd capacty, and ood nfomatonal and dcatonal dsn taks ths nto accont [2]. Gam also q xcllnc n nfomatonal and dcatonal dsn, to th xtnt that a am has to, at last, tach th play abot tslf. Bt what ls cold a am do? Can Data Cat Play? Gams a ld basd systms. Rls dscb th systm o th objcts n th systm by th bhavos and latonshps nd th noton of tm, a sns of posson. Gams a patclaly ood at valn th dynamcs of complx systms bcas plays bcom actv patcpants n thos systms. Th ways n whch ls ntact cat a wold of constants and consqnc fo plays. At th sam tm, smnly stctv ls a ncssay to nat play. Ths s th cntal paadox n ams, and t s what maks thm sch ntstn foms to dsn and stdy. Plays bn th own xpncs and chocs to th am, natn a vast aay of play styls and otcoms. What of th otcoms of a am dvd fom a st of alwold ls? o nstanc, what f th am's ls and mchancs (actons n th am dvn fom ls and am lmnts) xpssd th fdal dbt, o dfostaton ats n Soth Amca, o th colocal wbs xstnt n 1609 Manhattan? Cold w lan somthn nw abot ths actal statons, placs, and systms? Mo spcfcally, can w val ndlyn and phaps mystos phnomna at wok by not psntn ths topcs as naatv contnt n a am, bt n th ls thmslvs? And to add anoth lvl to o challn, can w s th actal data nfomaton athd and oanzd as th bass fo a am's ls and xpss ts nancs and psh at ts smnly d bondas thoh play, tachn s somthn nw? Can data b playabl? Ths a th qstons w hav bn xplon n o sach, whch w a calln DataPlay. In th sam way that data lnds tslf to ctan knds of vsalzaton, sch as a popotonal data n p chats o schdln data n ds by ho and day, data can lnd tslf to dffnt ntactv foms as wll. Gams, as an ntactv mda, a qt fomal. Thy ly on d sts of ls, thy hav a oal o wn condton, and oftntms fall nto ctan ns (acton, ol-playn, pzzl, altm staty). In th th pototyps dscbd blow w hav td to stablsh ls and mchancs that a an asthtc and ntactv match to th datasts thy psnt. Each datast statd off as typcal collctons of nmbs, dats, catozatons, and latons. Thy w thn vsalzd sn alothms o hman-caftd dsn. Statn fom thos vsalzatons, w w abl to "s" th fomal nat of th datast, ts nhnt pattns, ovall scal, and nal contos. Can Play Enlhtn Data? Instad of askn only what can data do fo play, w a also askn, What can play do fo data? Play mans, amon oth thns, xploaton. Data vsalzaton s on way to xplo data and not only xplo, bt val nw aspcts of th data. Th classc xampl of D. John Snow's 1854 dscovy of contamnatd wat pmps as th pmay soc fo th wdspad chola otbaks n tn-of-th-cnty London hav bn choncld n Tft's books on nfomaton dsn as a tmph of nfomaton dsn [6]. By mappn th otbaks and addn n a hand-dawn pcso to oaphc nfomaton systms th locatons of wat pmps, Snow was abl to ddc chola's cas, and pompt a volton n ban santaton [1]. If vsally navatn thoh a datast can lnd tslf to sch vlatons, what can th playfl navaton of datasts val? W hav attmptd to fnd ths ot thoh th th pojcts, ach of whch s a mdtaton on th data tslf, takn fom and nspaton fo th data and th way t s stctd as wll as wokn wth nfomaton dsns and scntsts to bn th data to lf fo th am's dsn. In ach xampl, al domnant vsalzatons hav famd o ndstandn of th data, allown s to lapfo th pocss of ndstandn a datast's physcal/vsal chaactstcs and nabln th consdaton of th data fom th vanta pont of bn abl to "s" t alady. Usn th xstn vsalzatons as o oad map, and th datasts as o aw matal, w ban th pocss of caftn am concpts, fom pap to dtal pototyp.
3 PROJECTS Kmono Colos In Waask s Advancd Infomaton Dsn class, stdnts a vn assnmnts calld Infomaton Dsn Expmnts. Bnn scnc and dsn toth has bn an ntst of hs, as an Infomaton Dsn Pofsso, fo many yas now. Waask askd stdnts n h cos to synthsz a poton of th spcs of th plant wth concpt, spac, and tm to m many avns of knowld, navaton, naatv, baty, and concpt n to an accssbl and nttv dsn psntaton. o h sbmsson, stdnt Hom S catd Japans Kmono Colos, a matx of 217 colos fond n tadtonal Japans kmonos, coss fncd wth th nam and class of th plant, anmal, o mnal ndnt sd n ts podcton, as wll as oth nfomaton, sch as th lnth of tm a dy had bn sd hstocally by manfacts ( 1). Gn Acad-styl fshn am S s onal vsalzaton Japans Kmono Colos Dscpton Th am pototyp Kmono Colos s basd dctly on S s data vsalzaton. In th am, plays a abl to slct a l that psnts a snl ndnt sch as so (sappanwood) o bnbana (safflow). Th am scn s covd n a wd vaty of colos that mov aond th spac lk fsh ( 2). Th ls, whn placd on th scn by th play s mos, attact th colos that a catd wth thos ndnts. Indnts that a sd n a wd vaty of dys attact mo colos. Lann Goals Th pncpl oal of th am s to famlaz plays wth 1 S th combnatons of natal ndnts that consttt th vaos dys sd n tadtonal kmono manfact. On of th most wadn aspcts of fshn n th am s xplon th chnss and vaty of colo that ctan bolocal and natal socs can podc oftn, th am podcs happy accdnts wh sddn swams of colo sond th l of a smnly mndan ndnt. Challns Edwads and L xpmntd wth dffnt appoachs that plays cold s to analyz coss-fncd data that w both accat and povdd mannfl chocs to th play. Intal tsts sd th d-lk stct of th matx tabl tslf, bt ths povd to b spflos n th contxt of th am th vsal mtapho fo data dd not mmdatly sst a ldc mtapho. Whl th ams pototypd occasonally smd fn, non smd to q attnton o namnt wth th data th play of th ams dd not q th play to acknowld mannflly th data psntd. Th fshn mchanc, howv, was snfcantly dffnt, vsally, fom th onal vsalzaton, bt povdd plays wth chocs wthn th am and vald nshts nto th datast that no oth pvos mchanc had ncovd dn play. dtal pototyp of th Kmono Colos fshnam mchanc. t Goals A fll soc-manamnt am s n th woks that wll allow plays to mo flly lvl p thoh th data. Bcas som dys and colos a mo dffclt to synthsz that oths, scaffoldn plays thoh smpl combnatons of common dys p thoh vy a ndnts mxd n complx combnatons s a dsabl fat of th am. Plays wll hav btt accss to a savd nvntoy of ndnts and n al lvls of th am that wll ad th play (and fth th ndstandn) as th matx coms to complton. 2 T h
4 Byond th colo am, w want to ps th possblty of sn fshn fo oth coss-fncd data that s fqntly psntd on a matx tabl. Althoh th vsal psntatons dff atly, w fl that th sns of xploaton nndd by th fshn am cold b ffctv on oth sts of data that a smlaly stctd. Mannahatta Th Gam Th ppos of th Mannahatta Pojct, by bolost Ec Sandson and hs tam at th Wldlf Consvaton Socty, s to nvl th colocal hstoy of Manhattan n 1609 known to th Lnap sdnts at th tm as Mannahatta and to bn nto focs th coloy of Manhattan today so as to plan fo a mo sstanabl ban cosystm of th ft [6]. Th Mannahatta tam wokd to panstaknly val, cty block by cty block, th cosystm dynamcs psnt n Manhattan's past. Ths dynamcs a psntd n a st of M Wbs, namd aft th famd natalst John M, as a way of vsalzn th ntdpndncs n local cosystms [6]. Wokn closly wth Sandson, a tam of nn Pasons stdnts, adats, and faclty dvlopd a pototyp of Mannahatta Th Gam, an amntd-alty am accssbl va Phon, that allows plays to tavs th data n al spac, makn movs on cty blocks and catn th cosystms that onc xstd th sn th M Wb as a stctn lmnt. Mannahatta Th Gam taks th da of xploaton nto th cty stts, ncoan plays to constct th cowbs of 1609 block by block, achvn th stats of "co-mast" by makn th most lnks acoss th cty. Gn Amntd alty pzzl am Dscpton Mannahatta Th Gam s a locaton-basd am that nabls lann abot complx systms n ths cas, lann abot th dynamcs of Manhattan's cosystm cca Th oal of Mannahatta Th Gam s to achv and mantan th stats of Eco-Mast acoss dffnt blocks on th sland of Manhattan by valn co nods and fomn sstanabl lnks btwn thm. Th am mploys mobl phons, a famla and socal contxt fo yon Nw Yoks, to nvt thm to connct to th sland's past and val th colocal potntals fo th cty's ft. Th contnt fo th am coms fom Sandson s wok on Th Mannahatta Pojct. Th am s tatd fo famls wth chldn ad 10-15, and s dvlopd fo th Phon. 3 A scn shot fom Mannahatta Th Gam n ts natv habtat. Lann Goals Movn fom th Mannahatta Pojct to Mannahatta Th Gam, w hav caflly md ky oaphc and nfomatc lann comptncs systms thnkn, ospatal ltacy, spatal ontaton, colocal contnt, socal collaboaton, commncaton and vsalzaton. Th am, playd on an Phon, placs plays n th actv ol of colocal wb-mak, a poston that ncoas xploaton and socal ntacton n plays' mmdat sondns whl ntodcn thm smltanosly to colocal scnc. Challns La datast, am play's nd fo smplfcaton p abstacton and th scntfc ams of th actal data a all sos concns. What s mo, data ntty sn th onal databas only and not altn t to st th am s a sos constant. Also, an "nd-am" wth sch a massv st makn potntally hndds of connctons p block ov thosands of blocks, s, at bst, npdctabl and phaps vn mpossbl. Can sch a wb b compltd by o plays on a and scal? Ths s pat of th xpmnt. t oals W ntnd to contn athn nw data, basd on play actvty, s-natd contnt, and obsvaton and potn of cnt spcs dscovd as plays xplo. To ths nd, w hop to bn wokn wth th Encyclopda of Lf to sppot th contnaton of ths wok. Ts of Tad Bodvsty and Extncton Anoth of Waask s stdnts, Kathana Sft, sd h xtnsv sach nto anfost cosystms to podc
5 Ts of Tad Effcts of Dfostaton on th Atlantc Ranfost. H pojct, whch bcam h ndadat thss wok, xamnd th latonshps btwn a st of svn ts, alon wth and oth plant and anmal spcs, and th commcal xplotaton of thos ts by hmans, as wll as ndcatn th ts lvls of ndanmnt. Alon wth th wok of fllow stdnt Pth Chthan, th dsn sach fomd th fondaton of th Ts of Tad Bodvsty and Extncton am pototyp xpmnt. Th data psnts two comptn dctd aphs, on fo th lf that dpndd on th ts and anoth fo th commodts dawn fom thm ( 5). 5 M o c k p Gn Acad pzzl am of th man scn fo th Ts of Tad Bodvsty and Extncton am. Dscpton Th Ts of Tad Bodvsty and Extncton am ss a tm-tavl conct smla to a passa fom Kt Vonnt s Slahthos 5 [7] Amcan plans, fll of hols and wondd mn and copss, took off backwads fom an afld n Enland. Ov anc, a fw Gman fht plans flw at thm backwads, sckd bllts and shll famnts fom som of th plans and cwmn. Thy dd th sam fo wckd Amcan bombs on th ond, and thos plans flw p backwads to jon th fomaton. Th fomaton flw backwads ov a Gman cty that was n flams. Th bombs opnd th bomb bay doos, xtd a maclos mantsm whch shnk th fs, athd thm nto cylndcal stl contans, and lftd th contans nto th blls of th plan... Whn th bombs ot back to th bas, th stl cylnds w takn fom th acks and shppd back to th Untd Stats of Amca, wh factos w opatn nht and day, dsmantln th cylnds, spaatn th danos contnts nto mnals. Tochnly, t was manly womn who dd ths wok. Th mnals w thn shppd to spcalsts n mot aas. It was th bsnss to pt thm nto th ond, to hd thm clvly, so thy wold nv ht anybody v aan. Th am asks plays to wok n a smla way tak apat th man-mad podcts, fnd th ts fom whch thy cam and cat thm, n-kll th spcs that lvd wth that t and lav th wold wth a complt and balancd fost cosystm. Plays pll back th stands n tm, bfly allown thm a wndow n whch to plac th spcs that w lost to xplotaton. At th sam tm, plays mst mov fom th wold potntally sfl tms lk mdcn and tmb that cam fom th ts. Lann Goals Plays a askd to ndstand what s lost fom a fost and what s and by hmans whn popl havst a and ndand ts n fal cosystms. Thy mst analyz and bld th dctd aph that psnts th dpndncs not only of th bolocal latonshps, bt also th commcal ons. Challns Althoh Mannahatta Th Gam also dals wth bolocal latonshps, s dos so n th contxt of a latvly balancd and stabl cosystm po to th aval of Eopans n Nw Yok. Ts of Tad Bodvsty and Extncton, on th oth hand, has to contnd wth two fqntly mtally xclsv systms. Plays mst wok backwads n tm, dsassmbln th psnt to bld th past. Bcas w only hav data fom th past, t wold not b an ffctv o accat DataPlay to allow stdnts to wok on savn th fost n th ft. Instad, thy a askd to tavl n tm, dp nto th past s bolocal data as thy adat fom th psnt s commcal data.
6 Bcas of ths, th am psnts a nmb of ntfac challns. Th plays mst hav ady accss to accat nfomaton as thy wok qckly ( 6). And thy mst b abl to manplat tm n a way that sms nttv yt fancfl, mannfl yt playfl. Spcs nfomaton slcton ntfac fom th Ts of Tad dtal pototyp. t Goals Althoh sval pototyps hav bn catd, mch wok mans to nt th comptn systms psntd n th data. Th complx scntfc and thcal challns of th data and ts stct hav catd a snfcant challn, bt tsts of ndvdal mchancs hav povd latvly sccssfl. Bnn th dspaat pcs toth nto a complt xpnc s th nxt stp. If th am povs sccssfl byond a dsn xpmnt, w wll look fo mo oppotnts to combn complx datasts n ways that cold allow fo playfl navaton and analyss ov nfomaton that may not vn lnd tslf to statc vsal psntaton bt may, nstad, q a play-basd appoach. INDINGS Choc and Data O aly sach and th wok of oths has ndcatd to s that data can povd an ntstn spac fo play. Snc data has an nhnt stct, what dos t man to play wthn th stct? And as on lans to play wthn th stct, how mht advancd ams lan to "am th systm", o play wth th stct of data, tstn lmts, challnn pspctvs, and valn nw concpts? Cold on st of data podc a vaty of am otcoms? In od to povd a sns of "amnss", th nds to b a st of chocs plays can mak that ffct th otcoms of th am. 6 A s p Ths chocs can b mco (momnt to momnt chocs thohot a lvl,) as wll as maco (th tajctoy of th am, th otcom.) Mco chocs ltmatly affct th maco chocs n a am. Saln and Zmmman, n Rls of Play dscb ths mco and maco momnts of play dcson-makn as "choc molcls" [4]. On of th fst sss w confontd n th dsn of ams basd on alwold datasts was what a th "choc molcls" nhnt n th data? If w can fnd an lmnt n th data that lnds tslf to play choc, w know w hav th bnnns of a am. o Kmono Colos, choc bcam a majo hdl. Whl choosn a ow o colmn to vw n a matx tabl s stahtfowad vsally, smla chocs n a am ntally sltd n ntactons that w not spcally am-lk. On th flp sd, xpmnts that w mo dvotd to ams, sch as tnn th tabl nto a sd-scolln platfom am, yldd play bt vy lttl lann. By abandonn th vsal psntaton, bt tann ts vbant and playfl spt, th fshn mchanc ssts that coss-fncd data can b playfl, bt not n ways that a obvos basd on tadtonal psntatons of that fom of data. In th pojct Mannahatta Th Gam, w dsmantld th datast n ths cas n th fom of a M Wb akn to a ntwok map. Instad of focsn on th nods as movabl (.. playabl) lmnts, w dcdd to focs on th connctons btwn nods. Ths connctons dscb dffnt nt-dpndncs n th cosystm, sch as "food fo" o "shlt fo". Kpn th nods n plac, bt movn th lnks cats an oppotnty fo plays to constct th datast, povds a cla wn condton whn plays s th ht lnks, and povds a soc (th lnks) plays can collct, wn and tad. Dsmantln a datast, thn, bcam on of o stats fo bldn a am. Th wok of ntatn datasts n Ts of Tad Bodvsty and Extncton shows th dffclts of podcn a snl am aond a complx st of latonshps th am mst, lk th oth pojcts w hav ndtakn, b playfl and accat. o th am to b playfl, t mst b somthn that a play can appoach, manplat, and fl that sh o h has ancy ov th ntfac to command ntstn chocs. o t to b accat, th chocs sh o h maks mst b fathfl to alty, vn th sad stat of affas wth ndand spcs. Combnn th complx lays of data and psntaton n a way that s navabl, ntllbl, and mannfl s a sos challn that wll q mch mo nvstaton. Bt Ts of Tad Bodvsty and Extncton, lk th oth ams, also ponts a way fowad, sstn that
7 th a mchancs (o sts of mchancs) avalabl that, wth tm and mo wok, cold b sd and appld to th knds of data onc qd to b vwd n foms that w stctly statc and two-dmnsonal. Th poms of DataPlay s that th nxt naton s scatt plots, ba chats, and socoams may b btt ndstood, not n a nwspap, bt n a am. REERENCES 1. Johnson, S. (2006). Th host map Th stoy of London's most tfyn pdmc--and how t chand scnc, cts, and th modn wold. Nw Yok Rvhad Books 2. Jl, J. (2005). Half-Ral Vdo Gams btwn Ral Rls and ctonal Wolds. Th MIT Pss. 3. May, R. (2005). Contv thoy of mltmda lann. In R. May (Ed.), Th Cambd Handbook of Mltmda Lann. Nw Yok Cambd Unvsty Pss. 4. Saln, K. and Zmmman, E. (2003). Rls of Play Gam Dsn ndamntals. Th MIT Pss. 5. Sandson, E. W. (2009). Mannahatta A Natal Hstoy of Nw Yok Cty (1St Edton d.). Abams. 6. Tft, E. R. (2001). Th Vsal Dsplay of Qanttatv Infomaton. Gaphcs Pss. 7. Vonnt, K. (1991). Slahthos-v. Dll.
How To Write A Storybook
ISTANBUL UNIVERSITY JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING YEAR VOLUME NUMBER : 004 : 4 : (6-70) REALIZATION OF REACTIVE CONTROL FOR MULTI PURPOSE MOBILE AGENTS Slm YANNİER Asf ŞABANOVİÇ Ahmt
Defending DoD Missions in the Commercial Cloud
Dfndng DoD Mssons n th Commcal Cloud Pt Dnsmo Cybscuty Rsk Managmnt 18 Jun 2015 UNCLASSIFIED 1 Data Catgozaton IMPAC LEVELS Lvl 1: Unclassfd Infomaton Appovd fo Publc Rlas Lvl 2: Non-Contolld Unclassfd
Tank Level GPRS/GSM Wireless Monitoring System Solutions
Tank Lvl GPRS/GSM Wilss Monitoing Systm Solutions HOLYKELL TECHNOLOGY CO.LTD May,2014 Ⅰ. Solution Rquimnts 1. Intoduction Th solution is mainly including: wilss data tansciv tminal, lvl snso and PC sv
Panel Discussion: Evolving DoD Security Requirements for Cloud
Unclassfd Panl Dscusson: Evolvng DoD Scuty Rqumnts fo Cloud Rog S. Gnwll Chf, Cybscuty 29 Januay 2015 Balancng Scuty and Rsk Unclassfd Govnmnt Pvat Cloud (DoD ntgatd and opatd commcal tchnology) On-pms
Enterprises and OEMs. Securing identity and access.
Entpss and OEMs. Scung dntty and accss. Navgatng complx makts. Wth absolut scuty. Th mobl dvc and applcaton makt s n a stat of tansfomaton. Gvn th vy dynamc dvlopmnt of nw mobl applcatons, oganzatons a
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
HEAT TRANSFER ANALYSIS OF LNG TRANSFER LINE
Scintific Jounal of Impact Facto(SJIF): 3.34 Intnational Jounal of Advanc Engining and sach Dvlopmnt Volum,Issu, Fbuay -05 HEAT TANSFE ANALYSIS OF LNG TANSFE LINE J.D. Jani -ISSN(O): 348-4470 p-issn(p):
Chapter 4: Thinking Like a Programmer
Cha 4: Thnkng Lk a Pga Pag 53 Cha 4: Thnkng Lk a Pga On f h had hng lan hw hnk lk a ga. A ga n cad by l bk cla b gw f whn an ndvdal. T bc a "gd" ga ak an f chnlgy, lf lanng, bac nllgnc, and a dv ca and
Factors that Influence Memory
Ovlaning Factos that Influnc Mmoy Continu to study somthing aft you can call it pfctly. Psychology 390 Psychology of Laning Stvn E. Mi, Ph.D. Listn to th audio lctu whil viwing ths slids 1 2 Oganization
Contents Stochastic Ray Tracing
Contnts Stochastc Ray Tacng Kad Bouatouch IRISA Emal: [email protected] Mont Calo Intgaton Applcaton to dct lghtng by aa lght soucs Solvng th adanc quaton wth th Mont Calo Mthod Dstbutd Ray Tacng Path Taycng 2
Physics. Lesson Plan #9 Energy, Work and Simple Machines David V. Fansler Beddingfield High School
Physics Lsson Plan #9 Engy, Wok an Simpl Machins Davi V. Fansl Bingfil High School Engy an Wok Objctivs: Dscib th lationship btwn wok an ngy; Display an ability to calculat wok on by a foc; Intify th foc
Problem Solving Session 1: Electric Dipoles and Torque
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Dpatmnt of Physics 8.02 Poblm Solving Sssion 1: Elctic Dipols and Toqu Sction Tabl (if applicabl) Goup Mmbs Intoduction: In th fist poblm you will lan to apply Coulomb
Load Balancing Algorithm Based on QoS Awareness Applied in Wireless Networks
, pp.191-195 http://x.oi.og/10.14257/astl.2015.111.37 Loa Balancing Algoithm Bas on QoS Awanss Appli in Wilss Ntwoks CHEN Xiangqian, MA Shaohui Dpatmnt of Comput Scinc an Tchnology, Hnan Mchanic an Elctical
Coverage Assessment and Target Tracking in 3D Domains
Snsos 211, 11, 994-9927; do:1.339/s111994 OPEN ACCESS snsos ISSN 1424-822 www.mdp.com/jounal/snsos Atcl Covag Assssmnt and Tagt Tackng n 3D Domans Nouddn Boudga 1,, Mohamd Hamd 1 and Sthaama Iynga 2 1
700 EN S e r i e s www.silko.it
www.lko.t EN Gat potntal fo mall pac Th ktchn unfotunatly an aa oftn focd to cat to lmtd pac and not alway th bt condton n tm comfot o convnnc.th pcally tu of tuctud pm o accommodaton wh hgh pucha o ntal
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
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
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
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
Porametr Leegomonchai North Carolina State University Raleigh, NC 27695-8110 [email protected]. and
Poamt Lgomoncha Noth Caolna Stat Unvsty Ralgh, NC 7695-80 [email protected] and Tomslav Vuna Noth Caolna Stat Unvsty Ralgh, NC 7695-809 [email protected] Plmnay Vson, ay 00 Plas do not ct o quot o dstbut
Incorporating Statistical Process Control and Statistical Quality Control Techniques into a Quality Assurance Program
Incooating Statistical Pocss Contol and Statistical Quality Contol Tchniqus into a Quality Assuanc Pogam Robyn Sikis U.S. Cnsus Buau Puos Incooat SPC and SQC mthods into quality assuanc ogam Monito and
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
Continuity Cloud Virtual Firewall Guide
Cloud Virtual Firwall Guid uh6 Vrsion 1.0 Octobr 2015 Foldr BDR Guid for Vam Pag 1 of 36 Cloud Virtual Firwall Guid CONTENTS INTRODUCTION... 3 ACCESSING THE VIRTUAL FIREWALL... 4 HYPER-V/VIRTUALBOX CONTINUITY
ISSeG EGEE07 Poster Ideas for Edinburgh Brainstorming
SSG EGEE07 Pos das fo Edinbugh Bainsoming 3xposs, plus hoizonal and vical banns (A0=841mm x 1189mm) Why SSG: anion gabbing: hadlins/shock phoos/damaic ycaching imag Wha is SSG: pojc ovviw: SSG ino, diffnc
est with berkeley / uc berkeley exte xtension / be your best with berkel
c rkley xtnsion yor st rkly c rkley xtnsion st with rkly c rkley xt Post-Baccalarat yor st Program with for rkly c rk xtnsion yor st with rkl c rkley xtnsion yor st rkly Consling c rkley and xtnsion st
IT Update - August 2006
IT Nws Saus: No Aciv Til: Da: 7726 Summay (Opional): Body: Wlcom Back! Offic of Infomaion Tchnology Upda: IT Upda - Augus 26 Rob K. Blchman, Ph.D. Associa Dico, Offic of Infomaion Tchnology Whil You W
Sale Mode Choice of Product Extended Warranty based on the Service Level
Intnational Jonal of - and - Svic, Scinc and Tchnology Vol8, No 8 (015, pp1-1 http://dxdoiog/101457/ijnsst0158801 Sal od Choic of Podct Extndd Waanty basd on th Svic Lvl Li Ji School of Infoation Tchnology,
Palliative Care Collaborative: 8th Annual Regional Conference
Pallatv Ca Collaboatv: 8th Annual Rgonal Confnc Fday, Octob 10, 2014 Th Dabon Inn 20301 Oakwood Boulvad, Dabon, MI 48124 PALLIATIVE MEDICINE SERVICE Who Should Attnd? Hospc Ladshp Bavmnt Staff Psychologsts
Design for Cyclic Loading
Dsign o Cyclic Loading 1. Compltly vsing cyclic stss and ndanc stngth A ply vsing o cyclic stss mans whn th stss altnats btwn qal positiv and ngativ pak stsss sinsoidally ding ach 300 cycl o opation, as
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
Adverse Selection and Moral Hazard in a Model With 2 States of the World
Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,
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.
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
UNIVERSITÀ DEGLI STUDI DI NAPOLI FEDERICO II
UNIVERSITÀ DEGLI STUDI DI NAPOLI FEDERICO II SCUOLA DI DOTTORATO IN INGEGNERIA INDUSTRIALE Dipatimnto di Inggnia Economico Gstional TESI DI DOTTORATO IN SCIENCE AND TECHNOLOGY MANAGEMENT XXIV CICLO Knowldg
union scholars program APPLICATION DEADLINE: FEBRUARY 28 YOU CAN CHANGE THE WORLD... AND EARN MONEY FOR COLLEGE AT THE SAME TIME!
union scholars YOU CAN CHANGE THE WORLD... program AND EARN MONEY FOR COLLEGE AT THE SAME TIME! AFSCME Unitd Ngro Collg Fund Harvard Univrsity Labor and Worklif Program APPLICATION DEADLINE: FEBRUARY 28
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)
Aegis Identity Software, Inc. Experts in Identity Management 100% Focused on Education
Impact of Idntity and Acc Managmnt with Fdation on P-20 Individualizd Laning and Cloud Rouc Agi Idntity Softwa, Inc. Expt in Idntity Managmnt 100% Focud on Education Popty of Agi Idntity Softwa, Inc. Dcmb
A Systematic Approach to the Comparison of Roles in the Software Development Processes
A Systmatic Appoach to th Compaison of Rols in th Softwa Dvlopmnt Pocsss uat Yilmaz 1, Roy V. O Conno 2 and Paul Clak 1 1 Lo Gaduat School in Softwa Engining, Dublin City Univsity, Iland 2 Lo, th Iish
TIME MANAGEMENT. 1 The Process for Effective Time Management 2 Barriers to Time Management 3 SMART Goals 4 The POWER Model e. Section 1.
Prsonal Dvlopmnt Track Sction 1 TIME MANAGEMENT Ky Points 1 Th Procss for Effctiv Tim Managmnt 2 Barrirs to Tim Managmnt 3 SMART Goals 4 Th POWER Modl In th Army, w spak of rsourcs in trms of th thr M
Physics 110 Spring 2006 2-D Motion Problems: Projectile Motion Their Solutions
Physcs 110 Sprn 006 -D Moton Problems: Projectle Moton Ther Solutons 1. A place-kcker must kck a football from a pont 36 m (about 40 yards) from the oal, and half the crowd hopes the ball wll clear the
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
Outline. - The Trafo Project - 1. Introduction of GEF Ingenieur AG and Trafo Project. 2. Intregrating Renewables into the Jena District Heating System
omey Iaioal Cofc Dcmb,, - Th Tafo Pojc - iai Rwabls io xi Dic Hai Sysms Dipl.-I. (FH) Ssa Ochs GEF Ii AG Fdiad-Posch-S. a 9 im [email protected] www.f.d Oli. Iodcio of GEF Ii AG ad Tafo Pojc. Iai Rwabls io h Ja
C o a t i a n P u b l i c D e b tm a n a g e m e n t a n d C h a l l e n g e s o f M a k e t D e v e l o p m e n t Z a g e bo 8 t h A p i l 2 0 1 1 h t t pdd w w wp i j fp h D p u b l i c2 d e b td S t
Handout 3. Free Electron Gas in 2D and 1D
Handout 3 F lcton Gas in D and D In this lctu ou will lan: F lcton gas in two dinsions and in on dinsion Dnsit o Stats in -spac and in ng in low dinsions C 47 Sping 9 Fahan Rana Conll Univsit lcton Gass
Chad Saunders 1, Richard E Scott 2
Chad Sauds 1, Richad E Sco 2 1 Haskay School of Busiss. 2 Dpam of Commuiy Halh Scics ad Family Mdici / Dico, Offic of Global -Halh Sagy. Uivsiy of Calgay, Calgay, Alba, Caada Md--Tl 2013 Luxmboug, G. D.
190 km³ Evaporation Precipitation. Flensburg. Kiel. Bremerhaven Wilhelmshaven
Evything Flows 30 km³ 190 km³ Evapoation A G E R M A N WAT E R B A L A N C E Pcipitation Flnsbug 6 28 Volums of wat, that flow acoss th bods and th coast via lag ivs Many gions in Gmany us a lot 13 (km³/ya)
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
Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects
Chaptr 3: Entity Rlationship Modl Databas Dsign Procss Us a high-lvl concptual data modl (ER Modl). Idntify objcts of intrst (ntitis) and rlationships btwn ths objcts Idntify constraints (conditions) End
The effect on the Asian option price times between the averaging. Mark Ioffe
866 U Naos Plaza u 566 Nw Yok NY 7 Pho: 3 355 Fa: 4 668 [email protected] www.gach.co h ffc o h sa opo pc s bw h avagg Mak Ioff bsac h acl s o h calculao of h pc of sa opo. I pacula w aalz h ffc o h opo pc s
ETSI TS 102 901 V1.1.1 (2011-06) Technical Specification
T T 102 901 V1.1.1 (2011-06) Tchnical pcification Ntwok Tting (NT); NN ntopability Tt pcification; NN intopability tt dciption fo R 2 T T 102 901 V1.1.1 (2011-06) Rfnc DT/NT-00033 Kywod, intopbility, intwoking,
STATEMENT OF INSOLVENCY PRACTICE 3.2
STATEMENT OF INSOLVENCY PRACTICE 3.2 COMPANY VOLUNTARY ARRANGEMENTS INTRODUCTION 1 A Company Voluntary Arrangmnt (CVA) is a statutory contract twn a company and its crditors undr which an insolvncy practitionr
Paper Technics Orientation Course in Papermaking 2009:
P P Otto Cou Pmkg 2009: g to mk u tt you ol o tgt P Wo ould ttd? Otto Cou Pmkg wll b of vlu to t followg gou of ol:- 1. P mll mloy, wo dl dtly wt t o of mkg d w to mov t udtdg of t o d t mll oto t bod
Who uses our services? We have a growing customer base. with institutions all around the globe.
not taking xpr Srvic Guid 2013 / 2014 NTE i an affordabl option for audio to txt convrion. Our rvic includ not or dirct trancription rvic from prviouly rcordd audio fil. Our rvic appal pcially to tudnt
e3 insights Stop interrupting me! Re-discovering the art of attraction through content marketing
Global Insihs Maazin Issu 10 - Edid by Bas On 2013 3 insihs Sop inupin m! R-discovin h a of aacion houh conn makin 2 3 4 6 INSIDE THIS ISSUE Wha is conn makin? And why should I b insd? Inup vs ins Ou-hink
Remember you can apply online. It s quick and easy. Go to www.gov.uk/advancedlearningloans. Title. Forename(s) Surname. Sex. Male Date of birth D
24+ Advancd Larning Loan Application form Rmmbr you can apply onlin. It s quick and asy. Go to www.gov.uk/advancdlarningloans About this form Complt this form if: you r studying an ligibl cours at an approvd
An AnyLogic Simulation Model for Power and Performance Analysis of Data Centres
An AnyLogic Simulation Modl fo Pow and Pfomanc Analysis of Data Cnts Bjön F. Postma and Boudwijn R. Havkot Cnt fo Tlmatics and Infomation Tchnology, Univsity of Twnt, th Nthlands {b.f.postma, b..h.m.havkot}@utwnt.nl
SAFETY DATA SHEET Kölner Classic Caselo
SAFETY DATA SHEET Köln Classc Casl accn t Rlatn (EC) N. 1907/2006 (REACH) Rsn at: 16.12.2015 Pnt at: 16.12.2015 Vsn: 1.0 Pa 1/11 SECTION 1: Intfcatn f th sbstanc/mxt an f th cmpany/ntan 1.1. Pt ntf Ta
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
DEGRADATION MODEL OF BREAST IMAGING BY DISPERSED RADIATION
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Sis A, OF THE ROMANIAN ACADEMY Volum 1, Numb 4/011, pp. 347 35 DEGRADATION MODEL OF BREAST IMAGING BY DISPERSED RADIATION Migul BUSTAMANTE 1, Gastón
Reach Versus Competition in Channels with Internet and Traditional Retailers
Rach Vsus Comptition in Channls with Intnt and Taditional Rtails Bai R Nault Haskayn School of Businss, Univsity of Calgay, Calgay, Albta, Canada, nault@ucalgayca Mohammad S Rahman Haskayn School of Businss,
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
Managing the Outsourcing of Two-Level Service Processes: Literature Review and Integration
Procdns of th 43rd Hawa Intrnatonal Confrnc on Systm Scncs - 2010 Manan th Outsourcn of Two-Lvl Srvc Procsss: Ltratur Rvw and Intraton Edal Pnkr Unvrsty of Rochstr [email protected] Robrt Shumsky Dartmouth
A Formal Model for Data Flow Diagram Rules
Volum No. MAY 0 ARPN Journal o Sytm and Sotwar 00- AJSS Journal. All rght rrvd htt://www.cntc-ournal.org A Formal Modl or Data Flow Dagram Rul Rozat Ibrahm Sow Yn Yn Dartmnt o Sotwar Engnrng Unvrty Tun
New Basis Functions. Section 8. Complex Fourier Series
Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting
Life Analysis for the Main bearing of Aircraft Engines
f Analyss for th Man barng of Arcraft Engns Png n a, Xaolng Zhang a, png H a, anglang Dng a a School of Mchancs, Elctronc, and Industral Engnrng, Unvrsty of Elctronc Scnc and Tchnology of Chna, Chngdu,
YouthWorks Youth Works (yüth- w rkz), n.
YouthWorks Youth Works(yüth- w rkz),n. 1. Baltimor City s summr jobs program. 2. Crats carr pathways for Baltimor City youth. 3. Givs Baltimor mployrs opportunitis to train thir futur workforc. Opportunity
Part 2 - Notes on how to complete your application form
Tuton F Loan applcaton nots for nw part-tm studnts 2012/13 About ths nots Ths nots should b rad along wth your Tuton F Loan applcaton form. Th nots ar splt nto thr parts: Part 1 - Gnral nformaton Part
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
Fetch. Decode. Execute. Memory. PC update
nwpc PC Nw PC valm Mmory Mm. control rad writ Data mmory data out rmmovl ra, D(rB) Excut Bch CC ALU A vale ALU Addr ALU B Data vala ALU fun. valb dste dstm srca srcb dste dstm srca srcb Ftch Dcod Excut
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
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
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
Contents. Presentation contents: Basic EDI dataflow in Russia. eaccounting for HR and Payroll. eaccounting in a Cloud
Accounting Contnts Prsntation contnts: Basic EDI dataflow in Russia Accounting for HR and Payroll Accounting in a Cloud Basic EDI Procss Flow Typs of documnts for EDI Lgally rquird documnts: Act of accptanc
Architecture of the proposed standard
Architctur of th proposd standard Introduction Th goal of th nw standardisation projct is th dvlopmnt of a standard dscribing building srvics (.g.hvac) product catalogus basd on th xprincs mad with th
IBM Healthcare Home Care Monitoring
IBM Halthcar Hom Car Monitoring Sptmbr 30th, 2015 by Sal P. Causi, P. Eng. IBM Halthcar Businss Dvlopmnt Excutiv [email protected] IBM Canada Cloud Computing Tigr Tam Homcar by dfinition 1. With a gnsis
Instruction: Solving Exponential Equations without Logarithms. This lecture uses a four-step process to solve exponential equations:
49 Instuction: Solving Eponntil Equtions without Logithms This lctu uss fou-stp pocss to solv ponntil qutions: Isolt th bs. Wit both sids of th qution s ponntil pssions with lik bss. St th ponnts qul to
Important Information Call Through... 8 Internet Telephony... 6 two PBX systems... 10 Internet Calls... 3 Internet Telephony... 2
Installation and Opration Intrnt Tlphony Adaptr Aurswald Box Indx C I R 884264 03 02/05 Call Duration, maximum...10 Call Through...7 Call Transportation...7 Calls Call Through...7 Intrnt Tlphony...3 two
A Project Management framework for Software Implementation Planning and Management
PPM02 A Projct Managmnt framwork for Softwar Implmntation Planning and Managmnt Kith Lancastr Lancastr Stratgis [email protected] Th goal of introducing nw tchnologis into your company
erkeley / uc berkeley extension Be YoUR Best / be est with berkeley / uc berkeley With BerkELEY exten xtension / be your best with berkele
c rkley xtnsion yor st w rkly c rkley xtnsion st with rkly c rkley xtn Crtificat yor Program st in with rkly c rk xtnsion yor st with rkl c rkley xtnsion yor st w rkly Financial c Planning rkley xtnsion
SYSTEMS & SERVICES VENDOR PROGRAMS SPECIALTY MARKET PROGRAMS BE A SPECIALIST OR REFER A SPECIALIST
SYSS & SVICS CNUY 21 is th xclusiv sponso in th l stt ctgoy, nd is th only l stt ogniztion tht cn off I ILS wd ils. Poud suppot of st Sls sinc 1979. In 2008, CNUY 21 Cnd ctd th Kids to Cp pog wh vy $2,100
Angel's Welcome Birth Record
Al Wlcm Bth Rcd Auth: Cmpay: Cpyht: Wt: Fac: Gd Sz: D Aa: Kath Mat Tpp Eta Ml Mcatl Kath Mat Tpp.tt-c-ttch-patt.cm 18-cut Ada (ma d ttchd v t thad; dtal ttchd v. 81W 50H 8.11 4.22 (73 38 ttch Ld: DMC 154
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
Long run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange
Lctur 6: Th Forign xchang Markt xchang Rats in th long run CON 34 Mony and Banking Profssor Yamin Ahmad xchang Rats in th Short Run Intrst Parity Big Concpts Long run: Law of on pric Purchasing Powr Parity
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
South Korean Cultural Diplomacy and Efforts to Promote the ROK s Brand Image in the United States and Around the World
Soth Koan Cltal Diploacy and Effots to Poot th ROK s Band Iag in th Unitd Stats and Aond th Wold Rgina Ki Johns Hopkins School of Advancd Intnational Stdis Soth Koa, dspit bing th wold s fiftnth-lagst
A Probabilistic Approach to Latent Cluster Analysis
Procdngs of th Twnty-Thrd Intrnatonal Jont Confrnc on Artfcal Intllgnc A Probablstc Approach to Latnt Clstr Analyss Zhpng X R Dong, Zhnghng Dng, Zhnyng H, Wdong Yang School of Comptr Scnc Fdan Unrsty,
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
ANALYSIS OF ORDER-UP-TO-LEVEL INVENTORY SYSTEMS WITH COMPOUND POISSON DEMAND
8 th Intrnatonal Confrnc of Modlng and Smulaton - MOSIM - May -2, 2 - Hammamt - Tunsa Evaluaton and optmzaton of nnovatv producton systms of goods and srvcs ANALYSIS OF ORDER-UP-TO-LEVEL INVENTORY SYSTEMS
Events and Constraints: A Graphical Editor for Capturing Logic Requirements of Programs
Evnts and Constaints: A Gaphical Edito fo Captuing Logic Rquimnts of Pogams Magat H. Smith Bll Laboatois Rm. 2C-407 600 Mountain Avnu Muay Hill, NJ 07974 [email protected] Gad J. Holzmann Bll Laboatois
A Newer Secure Communication, File Encryption and User Identification based Cloud Security Architecture
A Nw cu Counication, Fil Encyption and Idntification basd Cloud cui Achitctu Tonny hkha Ka 1, M. A. Pavz Mahud 2,hahjadi Hisan Fajana 3,Kaws Wazd Nafi 1, and Bikash Chanda Kaoka 1 Dpatnt Coput cinc and
Constrained Renewable Resource Allocation in Fuzzy Metagraphs via Min- Slack
Intrntonl Journl of ppld Oprtonl Rsrch Vol 1, No 1, pp 7-17, Summr 011 Journl hompg: wwworlur Constrnd Rnwl Rsourc llocton n Fuzzy Mtgrphs v Mn- Slck S S Hshmn* Rcvd: Jnury 31, 011 ; ccptd: My 1, 011 strct
Lecture 3: Diffusion: Fick s first law
Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th
C H A P T E R 1 Writing Reports with SAS
C H A P T E R 1 Writing Rports with SAS Prsnting information in a way that s undrstood by th audinc is fundamntally important to anyon s job. Onc you collct your data and undrstand its structur, you nd
Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000
hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails
Non-Linear and Unbalanced Three-Phase Load Static Compensation with Asymmetrical and Non Sinusoidal Supply
Non-Lnar and nbalancd Thr-Phas Load Statc Comnsaton wth Asymmtrcal and Non Snusodal Suly Rys S. Hrrra and P. Salmrón Elctrcal Engnrng Dartmnt Escula Poltécnca Suror, nvrsty of Hulva Ctra. Palos d la Frontra,
PCA vs. Varimax rotation
PCA vs. Vamax otaton The goal of the otaton/tansfomaton n PCA s to maxmze the vaance of the new SNP (egensnp), whle mnmzng the vaance aound the egensnp. Theefoe the dffeence between the vaances captued
