Efficient Built-In Self-Test Techniques for Sequential Fault Testing of Iterative Logic Arrays
|
|
- Percival Pierce
- 6 years ago
- Views:
Transcription
1 Prceedngs f he 6h WSES Inernanal Cnference n ppled Infrmacs and Cmmuncans, Elunda, Greece, ugus 8-0, 006 (pp53-57) Effcen Bul-In Self-Tes Technques fr Sequenal Faul Tesng f Ierave Lgc rrays SHYUE-KUNG LU and O-YNG DONG Deparmen f Elecrnc Engneerng Fu-Jen Cahlc Unversy, Tape, Tawan, R.O.C. sklu@ee.fju.edu.w bsrac:- In day s nanmeer echnlgy era, mre sphcaed defec mechansms mgh exs n he manufacured negraed crcus whch are n cvered by radnal faul mdels. In rder asceran he qualy f shpped chps, mre realsc faul mdels shuld be addressed. In hs paper, we prpse bul-n self-es (BIST) echnques fr erave lgc arrays (ILs) based n realsc sequenal cell faul mdel (RS-CF). ccrdng he prpsed esably cndns and he adped faul mdel, exhausve SIC (sngle npu change) pars fr a cell are appled each cell n he IL. The upus can be prpagaed he prmary upus and hen bserved. The SIC cmpnen generar and upu respnse analyzer are als desgned as he BIST crcury. Due he regulary f ILs, he hardware verhead f he BIST crcury s alms neglgble. In rder llusrae ur apprach, a ppelned array mulpler s used as an example. The number f es pars fr cmpleely esng f he array s nly 7. rever, he BIST verhead make delay faul esable s abu.67%. Inrducn Ierave lgc arrays are wdely used n desgnng applcan-specfc negraed crcus (SICs) due her regulary and mdulary. The ms ppular applcans nclude he daapah pars f dgal crcus and dgal sgnal prcessrs. I s well knwn ha he cmplexy f he general lgc esng prblem s NP-cmplee []. Frunaely, many nvel appraches [, 3] were prpsed ease he esng prblem fr ILs and he ms wdely adped faul mdel s he sngle cell faul mdel (SCF). Owng he rapd grwh n VLSI echnlgy, mre sphcaed falure mechansms mgh exs n he manufacured crcu. Ths makes he radnal SCF nsuffcen asceran he qualy f shpped prducs. Therefre, mre cmprehensve faul mdels shuld be esablshed. These nclude he ranssr suck-pen, he gae delay, and he pah delay faul mdels. These faul mdels are als defned as sequenal faul mdels [4]. T deec sequenal fauls, w-paern ess are usually requred. Several wrks have been prpsed fr es generan f sequenal fauls [5, 6]. Hwever, cmbnanal ILs are addressed. In [4], a nvel sequenal faul mdel, called Realsc Sequenal Cell Faul del (RS-CF) was prpsed. I s a mre cmprehensve, cell-level and mplemenan ndependen mdel suable fr IL esng. The prblem f rbus w-paern sequenal faul es generan s addressed. Therefre, he mpran prblem f es nvaldan n sequenal faul esng s slved. The adped RS-CF s defned as fllws [4]: ms ne IL cell can be fauly a a me. The es se f RS-CF cnans all he pssble Sngle Inpu Change (SIC) pars,.e., pars f vecr <v, v > wh Hammng dsance, ha generae a leas ne change a he cell upus. The es se descrbed abve mus be appled every IL cell (es applcan). faul may change he hrznal upus (and/r vercal upus) f he cell. Fauly cell upus mus be prpagaed prmary upus f he IL (faul prpagan). ccrdng hs faul mdel, SIC pars mus be appled every cell n he array. I s shwn ha SIC pars can acheve very hgh sequenal faul cverage and cnrbue rbusness [7]. The C-esably cndns fr ne-dmensnal and w-dmensnal ILs can be fund n ur prevus wrk [8]. Hwever, we sll lack f bul-n self-es echnques fr sequenal faul esng f such ILs. Therefre, BIST echnques are prpsed n hs paper. Bh he SIC cmpnen generar and upu respnse analyzer are desgned as he BIST crcury. The hardware verhead f he BIST crcury s alms neglgble. In rder llusrae ur apprach, a ppelned array mulpler s used as an example. The number f es pars fr cmpleely esng f he array s nly 7. rever, he hardware verhead make delay faul esable s abu.67%. The rganzan f hs paper s as fllws. Secn revews C-esably cndns fr -D ILs. Secn 3 prpses he BIST archecure. n array mulpler s used as an example n Secn 4. Fnally, sme cnclusns are gven n Secn 5.
2 Prceedngs f he 6h WSES Inernanal Cnference n ppled Infrmacs and Cmmuncans, Elunda, Greece, ugus 8-0, 006 (pp53-57) Revew f C-Tesably Cndns fr -D Ierave Lgc rrays In rder ease ur dscussn, sme defnns are defned frs. They are als used n [, 8]. Defnn: cell n an IL wh funcn f s a cmbnanal machne (Σ,, f), where f: Σ s he cell funcn, and Σ = = {0, } w, w denes he wrd lengh f a cell. n IL s an array f cells. Defnn: Sngle Inpu Change par s a par f vecrs <v, v >, where he Hammng dsance beween v and v s, v, v {,, 3,.. n }, n= w. Defnn: We say ha he funcn f f a cell s bjecve when θ θ, f(θ ) f(θ ), θ, θ Σ. Defnn: cmplee SIC sequence (SIC cm ) s a w-paern sequence ha cnans exhausve SIC pars f a cell. The cell behavrs f a ppelned IL can be vewed as a fne sae machne (FS). The sae ransn graph G (V, E) f he cell funcn f s a dreced graph, where V = Σ and E = {(v, f(v)) v V} [8]. Snce each sequenal faul requres a w-paern es, herefre, we shuld defne he sae ransn graph f f wh respec a -paern sequence. Ths ransn graph s dened as where V E G = ( V = { < v, v, E ), > v, v = {( v, f ( v)) v V Σ}, The characerscs f he ransn graph G deermne he cnrllably and bservably f he whle array. Three cndns are prpsed n [8]. Fr smplcy, we nly cnsder he case ha he cell funcn s bjecve. DFT echnques can be used make he cell funcn bjecve [8]. Fr hs case, G (Σ, E ) wll nly cnsss f cmpnens. If a cmpnen f G cnans a leas ne SIC par, hen hs cmpnen s called a SIC cmpnen (SIC cmp ). We assume ha here are n SIC cmpnens n G. Then, he es se S whch cnans all SIC pars f a basc cell s represened as S= { Υ SICcmp, n}. I s evden ha S s a cmplee SIC sequence. Le L dene he number f verces n SIC cmp, hen he lengh f he es se S can be expressed as: S = n L = Le j dene he h w-paern es n SIC cmpj, L j, j n. If we apply j a cell, we ban he upu sequence f( j ). Snce j s a verex f SIC cmpj n G, L j f ) =. We defne T j as ( j j. }. T j = { j, j,..., L j j Therem: mesh-cnneced IL as shwn n Fg. s C-esable under RS-CF f he cell funcn s bjecve. Prf: If we apply all w-paern ess T = (I, J ) cell, and desgn he adapve vercal and hrznal npu sequences as shwn n Fg.. cell rs and cell pq wll receve he same npu sequence f r + s = p + q (ndcaed by he dashed lnes n Fg. ). Faul prpagan n hs case s sraghfrward due he cmpnen prpery f G. Therefre, he esng prcess s a parallel ne. Smlarly, we can apply T j, j n, cell sequenally. Then, he cmplee SIC sequence S can be sen each cell n he array. Faul prpagan can be acheved due he bjecve cell funcn. Therefre, he whle array s sad be C-esable under RS-CF snce he number f ess s cnsan regardless f he array sze. I I J I Fg. : Tes essellan f a mesh-cnneced erave lgc array. 3 Bul-In Self-Tes Technques T dscuss he bul-n self-es schemes, we frs assume ha he cell funcn s bjecve such ha he herem descrbed abve can be appled drecly. The general BIST archecure cnsss f he fllwng:. he rgnal IL under es,. he SIC cmpnen generar, whch generaes all he w-paern es pars f he es se S, 3. he mechansm fr rung he generaed es se S each cell n he IL, 4. he mechansm fr rung he respnses he upu respnse analyzer, 5. he upu respnse analyzer, and 6. he es cnrller. The cnrl crcury s smply a swch, whch decdes he peran mde f he IL (es mde r nrmal mde). The remanng ems ()-(5) are he crcal pars fr cs-effecve mplemenan f he BIST archecures. Based n he es paern essellan shwn n Fg., a ypcal BIST srucure cnanng ems J }. 3 J
3 Prceedngs f he 6h WSES Inernanal Cnference n ppled Infrmacs and Cmmuncans, Elunda, Greece, ugus 8-0, 006 (pp53-57) ()-(5) s shwn n Fg.. In he fgure, exra crcu elemens and wres are hghlghed. The SIC cmpnen generar s marked SICCG, whch s smply a lgc crcu generang all he cmpnen paerns cnaned n G. Snce he SICCG s a b-level mplemenan, whch s very small as cmpared he whle IL. The mulplexers are marked, whch are cnrlled by a mde-selecn sgnal ha ndcaes wheher he crcu s n es mde r nrmal mde. Cnsder he IL shwn n Fg., f s n es mde, all mulplexers ake he npus whch are drawn n hck lne segmens. Therefre, f SICCG generaes he es se S fr cell, all her cells subsequenly receve her wn cmplee SIC sequences accrdng he herem descrbed abve. When s n nrmal mde, all mulplexers ake he npus whch are drawn n hn lne segmens,.e., he es pahs are dsabled, and he array reurns nrmal peran. The perfrmance penaly s alms neglgble snce he mulplexers can be mplemened wh smple pass ranssrs r ransmssn gaes. deermne wheher he upu b s fauly r n. We can als have her appraches perfrm upu respnse analyss, e.g., ransn deecrs and cmparars. Due he essellan prpery f he es paerns, all cells whse ndces sum he same number,.e., hse le n he same 45 lne generae he same upu sequence. Therefre, cmparars can be used cmpare he prmary upus wh he upus le n he same 45 lne. 4 Tesable Desgn f rray ulpler n array mulpler perfrms he peran x r. 4 3 array mulpler [8, 9] and s cell srucure s shwn n Fg. 3. The 4-b x mulplcand prpagaes dwnward. The 3-b mulpler r can be preladed and sred n he -reg s. The 7-b prduc can be receved frm he cells n he rghms clumn. Each cell perfrms he funcns gven as fllws: x = x r = r s = s c r x c = s c + c r x + s r x SICCG I I J J I 3 J 3 where x and r represen mulpler and mulplcand bs, s s he summand b, and c s he carry b. Ther respecve upu bs are dened as x, r, s, and c, whch are prpagaed he nex sage. When a cell cnans a number, s he ndex f an r b. These numbers hus range frm 0. The cell s regser hlds he r b ndcaed. cell ha has n ndex cnans a 0 b. Each cell s essenally a lached -b full adder Fg. : The prpsed BIST srucure, ncludng SIC cmpnen generar, upu respnse analyzer (), and rung mechansms. In Fg., he upu respnse analyzers are marked. ccrdng he specal feaures f he es paerns a cmplee SIC sequence fr each cell here are a varey f appraches fr upu respnse analyss. The frs apprach s he check-sum apprach. By usng hs apprach, each mdule n Fg. s replaced wh an accumular,.e., a bnary adder. Snce he cmplee SIC sequence s fxed, herefre, he accumulaed upu s als fxed. Judgng frm he accumulaed upu, we can denfy wheher he upu sequence s fauly r n. By usng hs apprach, he resuled faul cverage s hgh. lasng wll ccur fr mul-b errrs crrespndng dfferen permuans f he cmplee SIC sequence. Frm [8], we knw ha he cell funcn s n bjecve. Therefre, DFT echnques can be appled. The resuled SIC cmpnens n G fr = 0 are shwn n Fg. 5. Frm he SIC cmpnens we can see ha all SIC pars are ncluded n hese cmpnens. Therefre, he prevus herem can be appled drecly. rever, he BIST srucure shwn n Fg. s als suable fr he array mulpler. Our nex prblem s desgn he SIC cmpnen generar fr he array mulpler. The prpsed srucure s shwn n Fg. 6. We can als use pary checkers check he pary f each upu b. cmplee SIC sequence S ndcaes ha he pary fr each upu b psn mus be fxed. Therefre, we can check he pary f each upu b
4 Prceedngs f he 6h WSES Inernanal Cnference n ppled Infrmacs and Cmmuncans, Elunda, Greece, ugus 8-0, 006 (pp53-57) Fg. 3: 4 3 array mulpler. he upu f he cnrl mdule s. Therefre, he generar (a) Fg. 4: The mulpler cell. (b) Fg. 7: (a) Tes paerns f he SIC cmpnen generar durng Phase, and (b) Tes paerns durng Phase. eners n phase. The smulaed resuls f he generar are shwn n Fg. 7. Fg. 5: SIC Cmpnens fr = 0. 3-b Cuner Barrel Shfer C C C0 X X X0 n cnrl ux ux ux Bs_clk 5 Cnclusns Bul-n self-es (BIST) echnques fr erave lgc arrays (ILs) based n realsc sequenal cell faul mdel (RS-CF) are prpsed n hs paper. ransn graph mdel s used mdel he behavrs f a cell. Exhausve SIC (sngle npu change) pars fr a cell can be appled each cell n he IL. The SIC cmpnen generar s desgned and used as he es paen generar. Due he regulary f ILs, he hardware verhead f he BIST crcury s alms neglgble. In rder llusrae ur apprach, a ppelned array mulpler s used as an example. The number f es pars fr cmpleely esng f he array s nly 7. rever, he BIST verhead make delay faul esable s abu.67%. Fg. 6: The SIC Cmpnen generar fr array mulpler. In Fg. 6, he SIC cmpnen generar cnans a 3-b bnary cuner whch cun frm 000, a 3-b barrel shfer, and sme lgc gaes. The clck cycle f he cuner s sx mes ha f he barrel shfer. The cnen f he barrel shfer (X X X 0 ) s nalzed 00 and he upu f he cnrl mdule s 0. The barrel shfer s shfed rgh fr each BIST clck cycle. We have nce ha he BIST clck has he half frequency f he mulpler clck. The BIST mde ncludes w phases. Durng phase he generar prduces all SIC pars. lernavely, durng phase, wll prduce a sequence f w-paern ess wh Hammng dsance. The value f X durng phase can be cmpued as: BIST_X = (X Bs_clk) C, 0 Smlarly, X can be cmpued as fllws durng phase. BIST_X = X C, 0 n mplemenan f he cnrl mdule s presened n Fg. 6(b). Inally, he flp-flp s se 0. When he flp-flp s enabled by he n sgnal, ndcaes ha he cuner has reached he value and Reference [] H. Fujwara and S. Tda, The cmplexy f faul deecn prblems fr cmbnanal lgc crcus, IEEE Trans. Cmpuers, vl. C-3, n. 4, pp , June 98. [] C. W. Wu and P. R. Cappell, Easly Tesable Ierave Lgc rrays, IEEE Trans. Cmpu., vl. 39, n. 5, pp , ay 990. [3] C. Y. Su and C. W. Wu, Tesng erave lgc arrays fr sequenal fauls wh a cnsan number f paerns, IEEE Trans. Cmpu., vl. 43, n. 4, pp , pr [4]. Psaraks, D. Gzpuls,. Paschals, and Y. Zran, Sequenal faul mdelng and es paern generan fr COS erave lgc arrays, IEEE Trans. Cmpuers, vl. 49, n. 0, pp , Oc [5] D. Gzpuls, D. Nkls, and. Paschals, Tesng COS Cmbnanal Ierave Lgc rrays fr Realsc fauls, Inegran: The VLSI J., vl., pp. 09-8, 996. [6] P. Grard, C. Landraul, V. reda and S. Pravssudvch, n Opmzed BIST Tes Paern Genrar fr Delay Tesng, n Prc. VLSI Tes Symp., pp , prl 997. [7] G. L. Smh, del fr Delay Fauls Based upn Pah, n Prc. IEEE Inernanal Tes Cnf., pp , 985. [8] S. K. Lu, Delay Faul Tesng fr COS Ierave Lgc rrays wh a Cnsan Number f Paerns, IEICE Trans. Inf. and Sys., vl. E86-D, n., pp , Dec [9] J. V. ccanny and J. G. cwhrer, Cmpleely erave ppelned mulpler array suable fr VLSI desgn, IEE Prc., vl. 9, n., pp , pr. 98. [0]. Psaraks, D. Gzpuls and. Paschals, Bul-n sequenal faul self-esng f array mulplers, IEEE Trans. Cmpuer-ded
5 Prceedngs f he 6h WSES Inernanal Cnference n ppled Infrmacs and Cmmuncans, Elunda, Greece, ugus 8-0, 006 (pp53-57) Desgn f Inegraed Crcus and Sysems, vl. 4, n. 3, pp , ar.005. []. Psaraks, D. Gzpuls,. Paschals and Y. Zran, n Effecve BIST rchecure fr Sequenal Faul Tesng n rray ulplers, n Prc. 7h IEEE VLSI Tes Symp., 999, pp.5-58.
Dishonest casino as an HMM
Dshnes casn as an HMM N = 2, ={F,L} M=2, O = {h,} A = F B= [. F L F L 0.95 0.0 0] h 0.5 0. L 0.05 0.90 0.5 0.9 c Deva ubramanan, 2009 63 A generave mdel fr CpG slands There are w hdden saes: CpG and nn-cpg.
More informationVariable Forgetting Factor Recursive Total Least Squares Algorithm for FIR Adaptive filtering
01 Inernanal Cnference n Elecrncs Engneerng and Infrmacs (ICEEI 01) IPCSI vl 49 (01) (01) IACSI Press Sngapre DOI: 107763/IPCSI01V4931 Varable Frgeng Facr Recursve al Leas Squares Algrhm fr FIR Adapve
More informationExperiment 6: STUDY OF A POSITION CONTROL SERVOMECHANISM
Expermen 6: STUDY OF A POSITION CONTROL SERVOMECHANISM 1. Objecves Ths expermen prvdes he suden wh hands-n experence f he peran f a small servmechansm. Ths sysem wll be used fr mre cmplex wrk laer n he
More informationDigital Integrated CircuitDesign
Dgal Inegraed CrcuDesgn Lecure 6 BJT Inverer Swchng Tmes µ s 01. 1 3 4 6 2 Adb Abrshamfar EE Deparmen IUST Cnens BJT Inverer Cuff Regn ( 1 ) Acve Regn ( 1 2 ) Sauran Regn ( 3 4 ) Acve Regn ( 4 ) Recvery
More informationRheological Models. In this section, a number of one-dimensional linear viscoelastic models are discussed.
helgcal Mdels In hs secn, a number f ne-dmensnal lnear vscelasc mdels are dscussed..3. Mechancal (rhelgcal) mdels The wrd vscelasc s derved frm he wrds "vscus" + "elasc"; a vscelasc maeral exhbs bh vscus
More informationR th is the Thevenin equivalent at the capacitor terminals.
Chaper 7, Slun. Applyng KV Fg. 7.. d 0 C - Takng he derae f each erm, d 0 C d d d r C Inegrang, () ln I 0 - () I 0 e - C C () () r - I 0 e - () V 0 e C C Chaper 7, Slun. h C where h s he Theenn equalen
More informationTHE DEA METHOD IN ECONOMICAL EFFICIENCY ANALYSIS (MICRO-LEVEL).
Prceedngs f he h WSEAS Inernanal Cnference n APPLIED AHEAICS, Dallas, exas, USA, arch 22-24, 27 3 HE DEA EHOD I ECOOICAL EFFICIECY AALYSIS (ICRO-LEVEL). ks E. asaks, WSEAS A.I. helgu 7-23 5773, Zgraphu,
More informationOptimal Control. Lecture. Prof. Daniela Iacoviello
Opmal Cnrl Lecure Pr. Danela Iacvell Gradng Prjec + ral eam Eample prjec: Read a paper n an pmal cnrl prblem 1 Sudy: backgrund mvans mdel pmal cnrl slun resuls 2 Smulans Yu mus gve me al leas en days bere
More informationWp/Lmin. Wn/Lmin 2.5V
UNIVERITY OF CALIFORNIA Cllege f Engneerng Department f Electrcal Engneerng and Cmputer cences Andre Vladmrescu Hmewrk #7 EEC Due Frday, Aprl 8 th, pm @ 0 Cry Prblem #.5V Wp/Lmn 0.0V Wp/Lmn n ut Wn/Lmn.5V
More informationWater vapour balance in a building moisture exposure for timber structures
Jnt Wrkshp f COST Actns TU1 and E55 September 21-22 9, Ljubljana, Slvena Water vapur balance n a buldng msture expsure fr tmber structures Gerhard Fnk ETH Zurch, Swtzerland Jchen Köhler ETH Zurch, Swtzerland
More informationEnergy Storage Devices
Energy Srage Deces Objece f ecure Descrbe The cnsrucn f an nducr Hw energy s sred n an nducr The elecrcal prperes f an nducr Relanshp beween lage, curren, and nducance; pwer; and energy Equalen nducance
More informationPower Decoupling Method for Isolated DC to Single-phase AC Converter using Matrix Converter
Pwer Decuplng Mehd fr Islaed DC Sngle-phase AC Cnverer usng Marx Cnverer Hrk Takahash, Nagsa Takaka, Raul Rber Rdrguez Guerrez and Jun-ch Ih Dep. f Elecrcal Engneerng Nagaka Unversy f Technlgy Nagaka,
More informationA Novel High Frequency Isolated Full-Bridge Three-Level AC/AC Converter
Jurnal f Indusral and Inellgen Infrman Vl. 3,., March 05 A vel Hgh Frequency Islaed Full-Brdge hree-level AC/AC Cnverer Zeyu Xang and Le L Cllege f Auman, anjng Unversy f Scence and echnlgy, anjng, Chna
More informationGENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim
Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran
More informationApplications of Sequence Classifiers. Learning Sequence Classifiers. Simple Model - Markov Chains. Markov models (Markov Chains)
Learnng Sequence Classfers pplcans f Sequence Classfers Oulne pplcans f sequence classfcan ag f wrds, n-grams, and relaed mdels Markv mdels Hdden Markv mdels Hgher rder Markv mdels Varans n Hdden Markv
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationFirst-order piecewise-linear dynamic circuits
Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por
More informationNatural Language Processing NLP Hidden Markov Models. Razvan C. Bunescu School of Electrical Engineering and Computer Science
Naural Language rcessng NL 6840 Hdden Markv Mdels Razvan C. Bunescu Schl f Elecrcal Engneerng and Cmpuer Scence bunescu@h.edu Srucured Daa Fr many applcans he..d. assumpn des n hld: pels n mages f real
More informationThe Components of Vector B. The Components of Vector B. Vector Components. Component Method of Vector Addition. Vector Components
Upcming eens in PY05 Due ASAP: PY05 prees n WebCT. Submiing i ges yu pin ward yur 5-pin Lecure grade. Please ake i seriusly, bu wha cuns is wheher r n yu submi i, n wheher yu ge hings righ r wrng. Due
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationA New Structure of Buck-Boost Z-Source Converter Based on Z-H Converter
Jurnal f Operan and Auman n wer Engneerng l. 4, N., ec., ages: 7-3 hp://jape.uma.ac.r A New rucure f Buck-Bs Z-urce nverer Based n Z-H nverer E. Babae*,. Ahmadzadeh Faculy f Elecrcal and mpuer Engneerng,
More informationChapter 2 Linear Mo on
Chper Lner M n .1 Aerge Velcy The erge elcy prcle s dened s The erge elcy depends nly n he nl nd he nl psns he prcle. Ths mens h prcle srs rm pn nd reurn bck he sme pn, s dsplcemen, nd s s erge elcy s
More informationKinematics Review Outline
Kinemaics Review Ouline 1.1.0 Vecrs and Scalars 1.1 One Dimensinal Kinemaics Vecrs have magniude and direcin lacemen; velciy; accelerain sign indicaes direcin + is nrh; eas; up; he righ - is suh; wes;
More informationPRINCE SULTAN UNIVERSITY Department of Mathematical Sciences Final Examination Second Semester (072) STAT 271.
PRINCE SULTAN UNIVERSITY Deparmen f Mahemaical Sciences Final Examinain Secnd Semeser 007 008 (07) STAT 7 Suden Name Suden Number Secin Number Teacher Name Aendance Number Time allwed is ½ hurs. Wrie dwn
More informationSIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES
SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES Mhammadreza Dlatan Alreza Jallan Department f Electrcal Engneerng, Iran Unversty f scence & Technlgy (IUST) e-mal:
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 15 10/30/2013. Ito integral for simple processes
MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.65/15.7J Fall 13 Lecure 15 1/3/13 I inegral fr simple prcesses Cnen. 1. Simple prcesses. I ismery. Firs 3 seps in cnsrucing I inegral fr general prcesses 1 I inegral
More informationDepartment of Economics University of Toronto
Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of
More informationComb Filters. Comb Filters
The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of
More informationUnit-I (Feedback amplifiers) Features of feedback amplifiers. Presentation by: S.Karthie, Lecturer/ECE SSN College of Engineering
Uni-I Feedback ampliiers Feaures eedback ampliiers Presenain by: S.Karhie, Lecurer/ECE SSN Cllege Engineering OBJECTIVES T make he sudens undersand he eec negaive eedback n he llwing ampliier characerisics:
More information( ) () we define the interaction representation by the unitary transformation () = ()
Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger
More informationChapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are
Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationCONVEX COMBINATIONS OF ANALYTIC FUNCTIONS
rnat. J. Math. & Math. S. Vl. 6 N. (983) 33534 335 ON THE RADUS OF UNVALENCE OF CONVEX COMBNATONS OF ANALYTC FUNCTONS KHALDA. NOOR, FATMA M. ALOBOUD and NAEELA ALDHAN Mathematcs Department Scence Cllege
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationSingle-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method
10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho
More information21.9 Magnetic Materials
21.9 Magneic Maerials The inrinsic spin and rbial min f elecrns gives rise he magneic prperies f maerials è elecrn spin and rbis ac as iny curren lps. In ferrmagneic maerials grups f 10 16-10 19 neighbring
More informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
More informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More information5.1 Angles and Their Measure
5. Angles and Their Measure Secin 5. Nes Page This secin will cver hw angles are drawn and als arc lengh and rains. We will use (hea) represen an angle s measuremen. In he figure belw i describes hw yu
More informationLearning Objectives. Self Organization Map. Hamming Distance(1/5) Introduction. Hamming Distance(3/5) Hamming Distance(2/5) 15/04/2015
/4/ Learnng Objecves Self Organzaon Map Learnng whou Exaples. Inroducon. MAXNET 3. Cluserng 4. Feaure Map. Self-organzng Feaure Map 6. Concluson 38 Inroducon. Learnng whou exaples. Daa are npu o he syse
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationCentre for Efficiency and Productivity Analysis
Cenre fr Effcenc and rducv Analss Wrng aper Seres N. W/200 Mullaeral prducv cmparsns and hmhec A. erache ae: Nvember 200 Schl f Ecnmcs Unvers f Queensland S. uca Qld. 4072 Ausrala ISSN N. 932-4398 Mullaeral
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationDEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL
DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA
More informationLi An-Ping. Beijing , P.R.China
A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationCS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007
CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is
More information2015 Sectional Physics Exam Solution Set
. Crrec answer: D Ne: [quan] denes: uns quan WYSE cadec Challenge 05 Secnal Phscs Ea SOLUTION SET / / / / rce lengh lengh rce enu ass lengh e a) / ass ass b) energ c) wrk lengh e pwer energ e d) (crrec
More informationVerification of Quality Parameters of a Solar Panel and Modification in Formulae of its Series Resistance
Verificatin f Quality Parameters f a Slar Panel and Mdificatin in Frmulae f its Series Resistance Sanika Gawhane Pune-411037-India Onkar Hule Pune-411037- India Chinmy Kulkarni Pune-411037-India Ojas Pandav
More informationPhysics 20 Lesson 9H Rotational Kinematics
Phyc 0 Len 9H Ranal Knemac In Len 1 9 we learned abu lnear mn knemac and he relanhp beween dplacemen, velcy, acceleran and me. In h len we wll learn abu ranal knemac. The man derence beween he w ype mn
More informationRAMIFICATIONS of POSITION SERVO LOOP COMPENSATION
RAMIFICATIONS f POSITION SERO LOOP COMPENSATION Gerge W. Yunk, P.E. Lfe Fellw IEEE Indural Cnrl Cnulg, Inc. Fnd du Lac, Wcn Fr many year dural pg er dre dd n ue er cmpena he frward p lp. Th wa referred
More information2/20/2013. EE 101 Midterm 2 Review
//3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance
More informationProductivity changes of units: A directional measure of cost Malmquist index
Available nline a hp://jnrm.srbiau.ac.ir Vl.1, N.2, Summer 2015 Jurnal f New Researches in Mahemaics Science and Research Branch (IAU Prduciviy changes f unis: A direcinal measure f cs Malmquis index G.
More informationTesting a new idea to solve the P = NP problem with mathematical induction
Tesng a new dea o solve he P = NP problem wh mahemacal nducon Bacground P and NP are wo classes (ses) of languages n Compuer Scence An open problem s wheher P = NP Ths paper ess a new dea o compare he
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationEXPLOITATION OF FEATURE VECTOR STRUCTURE FOR SPEAKER ADAPTATION
Erc Ch e al. Eplan f Feaure Vecr Srucure EXPLOIION OF FEUE VECO SUCUE FO SPEKE DPION Erc H.C. Ch, rym Hler, Julen Epps, run Gpalarshnan Mrla usralan esearch Cenre, Mrla Las {Erc.Ch, rym.hler, Julen.Epps,
More information6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS
6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS Elutratn s the prcess n whch fne partcles are carred ut f a fludzed bed due t the flud flw rate passng thrugh the bed. Typcally, fne partcles are elutrated
More informationWiH Wei He
Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground
More informationOnline Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading
Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng
More informationOptimal Control Lecture Daniela Iacoviello
Opmal Cnrl Lecre Danela Iacvell Deparmen Cmper and Sysem Scences A.Rber Sapenza Unversy Rme Pr. Danela Iacvell Deparmen cmper, cnrl and managemen Engneerng Ann Rber Oce: A9 Va Ars 5 hp://www.ds.nrma./
More informationDISCRETE SLIDING MODE CONTROL OF PERMANENT MAGNET STEPPER MOTOR USING FLATNESS PROPERTY.
DSCRETE SLDNG MODE CONTROL OF ERMANENT MAGNET STEER MOTOR USNG FLATNESS ROERTY. V. Thaar, B. Bpadha nerdscplnar rramme n Ssems Cnrl Enneern, T Bmba, Mumba 6, nda Emal: v@ee.b.ac.n ; bjnan@ee.b.ac.n hne:
More informationSquare law expression is non linear between I D and V GS. Need to operate in appropriate region for linear behaviour. W L
MOS Feld-Effec Trassrs (MOSFETs ecure # 4 MOSFET as a Amplfer k ( S Square law express s lear bewee ad. Need perae apprprae reg fr lear behaur. Cpyrgh 004 by Oxfrd Uersy Press, c. MOSFET as a Amplfer S
More informationA Method of Insulator Detection from Aerial Images
Sensrs & Transducers Vl. 177 Issue 8 Augus 2014 pp. 7-13 Sensrs & Transducers 2014 by IFSA Publshng S. L. hp://www.sensrspral.cm A Mehd f Insular Deecn frm Aeral Images 1 Yngje Zha 1 Yang Wu 2 Hngka Chen
More informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationTime-interval analysis of β decay. V. Horvat and J. C. Hardy
Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae
More informationPart A. Ch Ch (a) b = = 25. from normal distribution table. Thus, order quantity is 58-12=46. (b) Now b=5
Hmerk Sln Par A. Ch a b = 65 4 = 5 frm nrmal dsrbn able Ths, rder qany s 58-=46 b b=5 frm nrmal dsrbn able Ths, rder qany s 5-=39 Ch 3 a Pssn Prcess, snce hs demand prcess accmlaes he randm demand generaed
More informationLEARNING : At the end of the lesson, students should be able to: OUTCOMES a) state trigonometric ratios of sin,cos, tan, cosec, sec and cot
Mathematics DM 05 Tpic : Trignmetric Functins LECTURE OF 5 TOPIC :.0 TRIGONOMETRIC FUNCTIONS SUBTOPIC :. Trignmetric Ratis and Identities LEARNING : At the end f the lessn, students shuld be able t: OUTCOMES
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More information(Communicated at the meeting of January )
Physics. - Establishment f an Abslute Scale fr the herm-electric Frce. By G. BOR ELlUS. W. H. KEESOM. C. H. JOHANSSON and J. O. LND E. Supplement N0. 69b t the Cmmunicatins frm the Physical Labratry at
More informationCONTRIBUTION TO THE DISCUSSION ON ABSOLUTE INTEGRATION OF DIFFERENTIAL EQUATIONS OF GEODESICS IN NON-EUCLIDEAN SPACE UDC :514.13:
FACTA UNIVERSITATIS Seres: Mechancs, Aumac Cnrl and Rbcs Vl3, N, 00, pp 55-70 CONTRIBUTION TO THE DISCUSSION ON ABSOLUTE INTEGRATION OF DIFFERENTIAL EQUATIONS OF GEODESICS IN NON-EUCLIDEAN SACE UDC 5793:543:583(045)
More information10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :
. A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one
More informationConvection and conduction and lumped models
MIT Hea ranfer Dynamc mdel 4.3./SG nvecn and cndcn and lmped mdel. Hea cnvecn If we have a rface wh he emperare and a rrndng fld wh he emperare a where a hgher han we have a hea flw a Φ h [W] () where
More informationModelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA
Mdelling f Clck Behaviur Dn Percival Applied Physics Labratry University f Washingtn Seattle, Washingtn, USA verheads and paper fr talk available at http://faculty.washingtn.edu/dbp/talks.html 1 Overview
More informationA New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables
Appled Mathematcal Scences, Vl. 4, 00, n. 0, 997-004 A New Methd fr Slvng Integer Lnear Prgrammng Prblems wth Fuzzy Varables P. Pandan and M. Jayalakshm Department f Mathematcs, Schl f Advanced Scences,
More informationLecture 2 M/G/1 queues. M/G/1-queue
Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly
More informationCoherent PSK. The functional model of passband data transmission system is. Signal transmission encoder. x Signal. decoder.
Cheren PSK he funcinal mdel f passand daa ransmissin sysem is m i Signal ransmissin encder si s i Signal Mdular Channel Deecr ransmissin decder mˆ Carrier signal m i is a sequence f syml emied frm a message
More informationTSS = SST + SSE An orthogonal partition of the total SS
ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally
More informationThis document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationSpring 2002 Lecture #17
1443-51 Sprng 22 Lecture #17 r. Jaehn Yu 1. Cndtns fr Equlbrum 2. Center f Gravty 3. Elastc Prpertes f Slds Yung s dulus Shear dulus ulk dulus Tday s Hmewrk Assgnment s the Hmewrk #8!!! 2 nd term eam n
More informationA Robust and Unsupervised RSS-based Localization System in WLAN Environments
Jurnal f Paern Recgnn and Inellgen Sysems ug. 15, Vl. 3 Iss. 3, PP. 55-69 Rbus and Unsupervsed RSS-based Lcalzan Sysem n WLN Envrnmens Le Wang *1, Cheyun Xa, Yuan L 3, Wa-Chng Wng 4 1 NUS Graduae Schl
More informationLecture 12. Heat Exchangers. Heat Exchangers Chee 318 1
Lecture 2 Heat Exchangers Heat Exchangers Chee 38 Heat Exchangers A heat exchanger s used t exchange heat between tw fluds f dfferent temperatures whch are separated by a sld wall. Heat exchangers are
More informationChapters 2 Kinematics. Position, Distance, Displacement
Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen
More informationExample: MOSFET Amplifier Distortion
4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More informationTransient Conduction: Spatial Effects and the Role of Analytical Solutions
Transent Cnductn: Spatal Effects and the Rle f Analytcal Slutns Slutn t the Heat Equatn fr a Plane Wall wth Symmetrcal Cnvectn Cndtns If the lumped capactance apprxmatn can nt be made, cnsderatn must be
More informationKinetic Model Completeness
5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins
More informationAnisotropic Behaviors and Its Application on Sheet Metal Stamping Processes
Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng
More informationEpistemic Game Theory: Online Appendix
Epsemc Game Theory: Onlne Appendx Edde Dekel Lucano Pomao Marcano Snscalch July 18, 2014 Prelmnares Fx a fne ype srucure T I, S, T, β I and a probably µ S T. Le T µ I, S, T µ, βµ I be a ype srucure ha
More informationFast Acquisition Digital Tanlock Loop with Adaptive Time Delay
Fast Acqustn Dgtal Tanlck Lp wth Adaptve Tme Delay NAWAF AL-MOOSA, SALEH Al-ARAJI AND MAHMOUD AL-QUTAYRI Cllege f Engneerng and Infrmatn Scences Etsalat Unversty Sharjah UNITED ARAB EMIRATES Abstract:
More informationAn update on the Goodness of Fit Statistical Toolkit
An updae n he Gdness f F Sascal Tlk B. Mascaln, A. Pfeffer, M.G. Pa, A. Rbn, P. Vareng 4h Gean4 Space Users Wrkshp hp://www.ge.nfn./gean4/analyss/hepsasc s Barbara Mascaln, INFNhp://www.ge.nfn./sascallk
More informationCS286.2 Lecture 14: Quantum de Finetti Theorems II
CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2
More informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
More informationA Novel Efficient Stopping Criterion for BICM-ID System
A Novel Effcen Soppng Creron for BICM-ID Sysem Xao Yng, L Janpng Communcaon Unversy of Chna Absrac Ths paper devses a novel effcen soppng creron for b-nerleaved coded modulaon wh erave decodng (BICM-ID)
More informationOnline Appendix for. Strategic safety stocks in supply chains with evolving forecasts
Onlne Appendx for Sraegc safey socs n supply chans wh evolvng forecass Tor Schoenmeyr Sephen C. Graves Opsolar, Inc. 332 Hunwood Avenue Hayward, CA 94544 A. P. Sloan School of Managemen Massachuses Insue
More informationDC-DC Switch-Mode Converters
- Swich-Mde nverers - cnverers are used : egulaed swich-mde pwer supplies, nrmally wih HF elecrical isla Mr drives, nrmally wihu an isla ransfrmer We will lk a he w basic dc-dc cnverer plgies: Sep-dwn
More informationThe Buck Resonant Converter
EE646 Pwer Elecrnics Chaper 6 ecure Dr. Sam Abdel-Rahman The Buck Resnan Cnverer Replacg he swich by he resnan-ype swich, ba a quasi-resnan PWM buck cnverer can be shwn ha here are fur mdes f pera under
More informationNotes on Frequency Estimation in Data Streams
Notes on Frequency Estmaton n Data Streams In (one of) the data streamng model(s), the data s a sequence of arrvals a 1, a 2,..., a m of the form a j = (, v) where s the dentty of the tem and belongs to
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More information