Design and Development of Reliability Sampling Plans for Intermittent Testing Based on Type-I Censoring
|
|
- Clarissa Copeland
- 6 years ago
- Views:
Transcription
1 Iaioal Joual o Applid Egiig Rsah ISSN Volu 2, Nub 24 (27 pp Rsah Idia ubliaios. hp:// Dsig ad Dvlop o Rliabiliy Saplig las o Ii Tsig Basd o Typ-I Csoig D. Raya ad S. Dvaaul 2 Assisa osso, Dpa o Saisis,.S.G. Collg o As ad Si, Coibao, Idia & a pa i sah shola a R & D C, Bhaahia Uivsiy, Idia. Oid Id: Assisa osso, Dpa o Saisis, Gov As Collg, Coibao, Idia. Oid Id: Absa I his ail liabiliy saplig plas a dvlopd o ii s bahs basd o yp-i soig daa. I as o ii sig h ai pobl ad by h qualiy ool paiio is h poss avag, whih ay dvia du o spoadi poduios. H, o ao assu a liabiliy o h podus whil disposig h los. To ovo his diiuly, iiu liabiliy as a guaa is obaid bo apa o h lo o s bahs hough h pobabiliy o jio uio. I his pap, liabiliy saplig plas a did wih a assua o high liabiliy o h podus o a wo paa Elag disibuio. Ths liabiliy saplig plas a oulad ad dsigd i suh a way ha hy a o liabl wih sp o h apa o h podus o bahs. Dsigig ad siulaio podus a giv o h osuio o ssay abls o ailia asy slio ad sig o podus. Kywods: Rliabiliy, Elag disibuio, Typ-I-Csoig, Ii poduio, Opaig Raio. INTRODUCTION May auhos hav dvlopd Rliabiliy Saplig las whih dpd o h sapl siz ad h apa osa wihou a guaa o h liabiliy o h podus o ii sig los o bahs. Cusos ay p h liabiliy o h podu whil apig h bahs o los a sig. I h liabiliy o h podu is aquid duig sig, h h will b a sooh sailig o los o b apd. Moov, i h poduio is o oiuous, h h ay b vaiaios i h poss avag ad h ub o ailus ay b o i h los ad h uso ay o b saisid wih suh podus. Thus, o suh a ii poss, iiu liabiliy should b aquid bo h apa o h bah o poss. Tho Rliabiliy Saplig las idd hough iiu liabiliy has b dvlopd. Fig ad Ma [] hav disussd li s saplig plas o wo paa Wibull populaios. Kaa.al [2] has dvlopd saplig plas basd o log logisi odl. Fag [3] psd h sudy o h hyp-elag disibuio odl ad is appliaios i wilss woks ad obil opuig syss. Th wo paa Elag disibuio povids libiliy i h hoi o h shap ad sal paa, a wid vaiy o lii daa i qui adqualy o i. Wh h gaa disibuio has a igal paa α, i is kow o b Elag disibuio. To aqui h aiu liabiliy (, h pobabiliy o jio uio i s o liabiliy is subjd o diiaio wi ad quad o zo. Th quaio o oal o h ag is obaid ad is usd as a asu o shapss (. Fially h opaig liabiliy a is did whih is h vial paa o di h paas o h liabiliy saplig plas o h ii poduio poss. FORMULATION OF THE RELIABILITY SAMLING LANS Th iiu sapl siz ssay o su h quid liabiliy o h podus a obaid ud h assupio ha h li i vaiabl ollows wo paa Elag disibuio. Th uulaiv disibuio uio F( ad pobabiliy dsiy uio ( o a wo paa Elag disibuio spivly a giv by F k (, k, X ( X X k k ( K k,, Wh k is h shap paa ad λ is h sal paa. Sush.K.K ad Laha. M [4] hav dvlopd Baysia sigl saplig plas o a gaa pio disibuio. Dvaaul.S [5, 6] dsigd ad dvlopd aiu aquid liabiliy (2 539
2 Iaioal Joual o Applid Egiig Rsah ISSN Volu 2, Nub 24 (27 pp Rsah Idia ubliaios. hp:// saplig plas. Abdlkad [7] opud os o od saisi o oidially disibud Elag vaiabls. Dvaaul.S ad Jy Joy.V [8] hav dvlopd liabiliy saplig plas basd o iiu agl hiqu. Willo ad Li [9] psd a viw o aalyial ad opuaioal popis o h id Elag disibuio i h o o isk aalysis. Muhad Asla ad Chi- Hyuk Ju [] dsigd i uad apa saplig plas by usig wo-poi appoah. Muhad Asla.al [] dvlopd a goup saplig pla basd o uad li ss o gaa disibuio. Gupa ad Goll [2] sudid gaa disibuio i apa saplig basd o li ss. Soudaaja [3] has dvlopd sigl saplig plas by aibus ispio hough aiu allowabl p divs. Lio.al [4] hav dvlopd apa saplig plas o h Bibau-Sauds disibuio o pils wh h li s is uad a a p-spiid i. MEASURES OF RELIABILITY SAMLING LANS L b h liabiliy o ah opo i h lo. L do h ub o uis o b sd i i piod. L S, S, do h ub o sussul uis duig h i piod. Thus is h pobabiliy ha ay i sd duig piod will sul i a suss, o i is liabl owads suss suh ha = -F(. I saplig pla liau, h pobabiliy o apa uio o h poss is giv as a p p p wh p is h poss avag o aio div o h ioig lo o bah ad is h ub o ailu uis i sig. k wh p,( k,, (3 (4 Wh S = -, is h iiu ub o suvival uis quid i h sapl o sig bo apa o h bah h h pobabiliy o jio uio i is h liabiliy is giv by p p k Wh p,( k,, Ad S = - Equaio (5 a b wi as, p p (5 (6 (7 Foulaio: L duig sig. = sapl siz. = Li i ado vaiabl. S = Sussul uis duig sig. S* = Miiu Nub o Sussul uis quid ALGORITHM FOR SENTENCING A BATCH AFTER TYE I CENSORING Sp : Daw a ado sapl o siz ad pu h io li s o spiid i (yp I soig Sp 2: Cou h ub o spis sussul i h s. L i b S. Sp 3: I S S * h ap h bah o lo. Sp 4: I S < S *, h j h bah. DESIGNING THE RELIABILITY SAMLING LANS FOR INTERMITTENT TESTING Th pobabiliy o jio uio i is liabiliy wih yp II pobabiliis is did as ( ( I C is h apa ub ad is h sapl siz h S * = is h iiu ub o suvival quid duig h sig o apa o h bah. Th ag o h pobabiliy o jio uv a h dlio poi ouhs h -ais a Equaio o ag passig hough, ( ( wih slop ( ( is giv by h quaio (8 532
3 Iaioal Joual o Applid Egiig Rsah ISSN Volu 2, Nub 24 (27 pp Rsah Idia ubliaios. hp:// 532 ( ( ( ( (9 Th oo o h abov quaio is obaid by solvig ( ( ( ( ( A h ilio poi, (- = ( ho, h poi a whih h ag ouhs h -ais is giv by (2 Th opaig liabiliy a is did as z (3 z (4 z (5 This z is puly a uio o havig = S * /, as h liabiliy sadad. Th paa o b lad is h asu o shapss aguig siila o dsigig podu o Soudaaaja [2]. H h poi whih ouhs -ais o h ag a h dlio poi o pobabiliy o jio uv a b usd as asu o shapss o ispio. A lo o poss o qualiy wih liabiliy will b apd ad lss ha will b jd. By usig quaio (5, abl ( is osud so ha h iiu ub o sussul is quid i yp I soig a b did. O h opaig liabiliy a ad h paa λ a kow, o a di iiu valu o S *, h sussul uis i h s ad h sapl siz. Siilaly, i is h aiu allowabl ailu duig yp I soig sig ad is h sapl siz h h ub o sussul is i h s is S * =, h h oal o h pobabiliy o jio uv a h dlio poi ouhs h -ais is giv by Equaio o h oal passig hough ( (, wih slop ( ( is giv by h quaio ( ( ( ( (6 Th oo o h abov quaio is obaid by quaig ( ( ( ( (7 ( ( ( ( (8 A h ilio poi, (- = ho, h poi a whih h oal ouhs h -ais is giv by (9 L h opaig liabiliy a b Z (2 Z (2
4 Iaioal Joual o Applid Egiig Rsah ISSN Volu 2, Nub 24 (27 pp Rsah Idia ubliaios. hp:// Z (22 By usig quaio (22, abl (2 is osud so ha h iiu ub o sussul is quid i yp I soig is did. O h opaig liabiliy a o oal poi ad h paa λ is kow o a di h valu o S * ad sapl siz. Diiaig quaio (8 wih sp o wi ad quaig o zo, w g d d ( 2 d ( (23 ( ( ( d 2 Th liabiliy ( aquid i h lo is obaid o quaio (24, (24 s (25 (26 pos ad dous syboli alulaios usig h Syboli Mah Toolbo. Sp 2: I h MuAD obook yp h ollowig sip: Sp3: sas:: lagrado (2,.5(; Wh ud h all i h pvious sp, ado ubs wih shap paa = 2 ad sal paa =.5 a gad Sp 4: Alog wih h podu i sp 3, pu $ k=..2. So ha h sip will b sas::lagrado (2,.5 ( $ k=..2; This us a squ o 2 ado ubs ah o whih is alld oly o. Sp 5: Th siulad daa a abulad as λ valus i h abls ad uh alulaios a ad o di h liabiliy saplig plas. Tabl : Valus o h Opaig Ra (Z o h aiu allowabl ailu (C a ag poi Th sapl siz a b did usig quaio (26 ad h sa is abulad i abl (3. Ipaio: Duig li sig wih yp-i soig i i h sapl o uis h liabiliy, h h bah is apd ohwis i is jd. SIMULATION ROCEDURE Th paas o h ailu disibuio a k ad λ i as o Elag disibuio. H h uulaiv ailu a valus a siulad usig MATLAB poga o h kow Sal ad Shap paas o h Elag disibuio. Twy ado valus w gad ad h h ospodig F( valus a obaid usig quaio (. Tha is obaid by usig quaio (4. Fo h shap paa k=2, h di valus o h sapl siz a obaid. H abl (3 is osud o asy slio o liabiliy saplig plas. By usig quaio (22, abl (2 is osud o di h opaig liabiliy a a h oal poi. Sp : I h MATLAB dio widow, go o h AS u ad sl h MuAD obook opio. (A MuAD obook 5322
5 Iaioal Joual o Applid Egiig Rsah ISSN Volu 2, Nub 24 (27 pp Rsah Idia ubliaios. hp:// Tabl 2: Opaig liabiliy a o h aiu allowabl ailu (C a oal poi Tabl 4: Rliabiliy valus o shap paa k=2, C=3, = ad h ospodig pobabiliy o jio ( I abl (2 o ah valu o C, Z * is alulad usig quaio (22. Z * is h opaig liabiliy aio a oal whih is obaid by akig h aio o ad. Tabl 3: Valus o h sapl siz ( o shap paa k=2, giv h liabiliy ad aiu allowabl ailus C. Fo abl (4 i is oud ha whv liabiliy o h lo dass h pobabiliy o jio is o. I oh wods, wh h liabiliy o h podu dass h h pobabiliy o jio uv shows a ias i h pobabiliy o jio o a paiula bah o lo. A Cuv is daw by akig Rliabiliy o h lo i h -ais ad h pobabiliy o jio i h y-ais by usig h ospodig valus i abl (4. Th poi a whih h ag ouhs h -ais is akd as ( ad h poi a whih h oal ouhs h -ais is akd as ( i his uv. Th poi is h Rliabiliy obaid whih is kow o b aiu valu. H o h ii poduio poss aiu liabiliy is obaid a yp-i soig s ad is a saisaoy o o a uso. This guaas h uso h quid liabiliy bo apa o h los o bahs. 5323
6 Iaioal Joual o Applid Egiig Rsah ISSN Volu 2, Nub 24 (27 pp Rsah Idia ubliaios. hp:// as suh h osu is also bid. I is vid o h uv ha as h liabiliy o h lo iass, h pobabiliy o jio dass. Tho o a ii poss, h w liabiliy saplig plas will b a appopia o. ILLUSTRATION Figu : obabiliy o jio Cuv Th opaig liabiliy a pd by h uso is Z * =.762 wih yp I soig ad h s i is 44.5 hous. Di Rliabiliy Saplig las i h poss shows ii poduio wih Elagia sal 2. Soluio: I is giv ha h opaig liabiliy a is Z*=.762 ad s duaio is 44.5 hous. Th sal paa λ = 2, suh ha λ = 89. O a id h paas o h liabiliy saplig plas o abl (2 ad abl (3. Z *, h opaig liabiliy a ad h avag s i λ a giv, o abl (2, i a b obsvd ha h aiu allowabl ailu ospodig o hs valus is C=4. Si o h sa opo h avag s i is quod as 89 hous, h o abl (3, o a di h quid sapl siz. Wh λ=.89, h paas = 4 h sapl siz is =8. Tho, h iiu ub o sussul uis quid o ap h lo is S=4 wih guaad liabiliy = 77.6% Wh Z * ad λ a giv, o a di h oh paas suh as, ad S * o h abls ad h h suiabl liabiliy saplig plas a did. Also o abl ( h osu is povidd wih h guaad liabiliy bo h apa o h lo. So wih his ioaio h uso is saisid wih yp I soig o ii sig o los. CONCLUSION I his ail, Rliabiliy Saplig las o ii poduio poss has b dvlopd by assuig wo paa Elag disibuios. I is obsvd ha whv h liabiliy valu dass h sapl siz iass, his pssuis h podu o aiai liabiliy o podus ad REFERENCES [] Abdlkad, Y.H., 23, Copuig h os o od saisis o o idially disibud Elag vaiabls. Saisial aps, 45, pp [2] Dvaaul, S., 22, Cai Sudis laig o Mid Saplig plas ad Rliabiliy basd Saplig las, h.d., Thsis, Dpa o Saisis, BhaahiaUivsiy, Coibao, Tail Nadu, Idia. [3] Dvaaul, S., 23, Maiu Aquid Rliabiliy Saplig (MARS pla, Fa Eas Joual o Thoial Saisis,, No., pp [4] Dvaaul, S ad Jy Joy, V., 23, Dsigig ad Slio o Rliabiliy Saplig las Basd o Miiu Agl Thiqu, Iaioal Joual o Mahais ad Copuaio, 2, No.3, pp [5] Fag,Y., 2, Hyp-Elag disibuio odl ad is appliaio i wilss obil woks. Wilss Nwoks, Vol.7, pp [6] Fig, K, W ad Ma, N, R., 98, Li Ts Saplig las o Two aa Wibull opulaios, Thois, Vol.22, pp [7] Gupa, S,S ad Goll, A., 96, Gaa Disibuio i Apa Saplig basd o Li Tss, Joual o Aia Saisial Assoiaio, Vol.56, pp [8] Kaa, R, R, L, Rosaiah, K, ad Rao G.S., 2, Apa Saplig Basd o Li Tss: Log- Logisi Modls, Joual o Applid Saisis, Vol. 28, pp [9] Lio, Y.L, Tzog-Ru Tsai ad Shuo-Jy Wu., 2, Apa Saplig las o Tuad Li Tss Basd o h Bibau-Sauds Disibuio o ils, Couiaios i Saisis Siulaio ad Copuaio, 39:, [] Muhad Asla, Chi-Hyuk Ju., 23, Dsigig o Ti Tuad Apa Saplig las by Usig Two-oi Appoah, Eloi Joual o Applid Saisial Aalysis Vol.6, Issu, 8-3. [] Muhad Asla, Chi-Hyuk Ju ad Ahad. M., 29, A goup saplig pla basd o uad li ss o gaa disibuio, akisa Joual o Saisis, Vol. 25:
7 Iaioal Joual o Applid Egiig Rsah ISSN Volu 2, Nub 24 (27 pp Rsah Idia ubliaios. hp:// [2] Soudaaja, V., 975, Maiu Allowabl Div (MAD Sigl Saplig Ispio by Aibus la, Joual o Qualiy Thology, Vol.7, No.4, pp [3] Sush, K.K. ad Laha, M., 2, Baysia Sigl Saplig las o a Gaa io, Eooi Qualiy Cool, Vol.6, No., pp [4] Willo, G. E. ad Li, X. S., 2, Risk odllig wih h id Elag disibuio. Applid Sohasi Modls i Busiss ad Idusy, 27,
An Asymptotic Expansion for the Non-Central Chi-square Distribution. By Jinan Hamzah Farhood Department of Mathematics College of Education
A Asypoic Expasio fo h o-cal Chi-squa Disibuio By Jia Hazah ahood Dpa of Mahaics Collg of Educaio 6 Absac W div a asypoic xpasio fo h o-cal chi-squa disibuio as wh X i is h o-cal chi-squa vaiabl wih dg
More informationOn Weighted Ailamujia Distribution and Its Applications to Lifetime Data
J Sa Appl Po 6 No 69-6 7 69 Joual o Saisis Appliaios & Pobabiliy A Iaioal Joual hp://ddoiog/8576/jsap/67 O Wighd Ailamujia Disibuio ad Is Appliaios o Liim Daa Uzma Ja* Kasa Faima ad S P Ahmad Dpam o Saisis
More informationMinimum Variance Unbiased Estimation for the Maximum Entropy of the Transformed Inverse Gaussian Random Variable by
Th Koa Commuiaios i Saisis Vol. 13 No. 3,, pp.57-7 Miimum Vaia Ubiasd Esimaio fo h Maximum Eopy of h Tasfomd Ivs Gaussia Radom Vaiabl by Byugji Choi 1) Absa Th op of opy, iodud i ommuiaio hoy by Shao (19)
More informationSHAPE DESIGN SENSITIVITY ANALYSIS OF CONTACT PROBLEM WITH FRICTION
SHAPE DESIGN SENSIIIY ANALYSIS OF ONA PROBLEM WIH FRIION 7 h AIAA/NASA/USAF/ISSMO Symposium o Mulidisipliay Aalysis ad Opimiaio K.K. hoi Nam H. Kim You H. Pak ad J.S. h fo ompu-aidd Dsi Dpam of Mhaial
More informationFBD of SDOF Base Excitation. 2.4 Base Excitation. Particular Solution (sine term) SDOF Base Excitation (cont) F=-(-)-(-)= 2ζω ωf
.4 Base Exiaio Ipoa lass of vibaio aalysis Peveig exiaios fo passig fo a vibaig base hough is ou io a suue Vibaio isolaio Vibaios i you a Saellie opeaio Dis dives, e. FBD of SDOF Base Exiaio x() y() Syse
More informationIJRET: International Journal of Research in Engineering and Technology eissn: pissn:
IJRE: Iiol Joul o Rh i Eii d holo I: 39-63 I: 3-738 VRIE OF IME O RERUIME FOR ILE RDE MOWER EM WI DIFFERE EO FOR EXI D WO E OF DEIIO VI WO REOLD IVOLVI WO OMOE. Rvihd. iiv i oo i Mhi R Eii oll RM ROU ih
More informationA New Skew Linear Interpolation Characteristic Difference Method for Sobolev Equation
ISSN 746-7659, Eglad, UK Joual of Ifomaio ad Compuig Si Vol. 6, No., 0, pp. 09-6 A Nw Skw Lia Ipolaio Caaisi Diff Mod fo Sobolv Equaio Yag Zag + Sool of Mamaial Si ad LPMC, Nakai Uivsiy, Tiai, 30007, Cia
More informationBoyce/DiPrima/Meade 11 th ed, Ch 4.1: Higher Order Linear ODEs: General Theory
Bo/DiPima/Mad h d Ch.: High Od Lia ODEs: Gal Tho Elma Diffial Eqaios ad Boda Val Poblms h diio b William E. Bo Rihad C. DiPima ad Dog Mad 7 b Joh Wil & Sos I. A h od ODE has h gal fom d d P P P d d W assm
More informationSampling of Continuous-time Signals
DSP Spig, 7 Samplig of Coiuous-im Sigals Samplig of Coiuous-im Sigals Advaags of digial sigal possig,.g., audio/vido CD. higs o loo a: Coiuous-o-dis C/D Dis-o-oiuous D/C pf osuio Fquy-domai aalysis of
More informationTable 1 describes the two treatment groups. PROC GLM was used to compare groups. Few covariates significantly differed.
Th Us of opsiy Sos ad Isumal Vaiabl Mhods o Adjus Fo Tam Slio Bias R. So Lsli, MdImpa Halha Sysms, I., Sa Digo, CA ABSTRACT Obsvaioal sudis ha lak adomizaio of subjs io am goups mus addss slio bias o poply
More informationA Dash of Maxwell s. A Maxwell s Equations Primer. Chapter V Radiation from a Small Wire Element
Dash of Maxwll s Maxwll s quaios Pim Chap Radiaio fom a Small Wi lm By Gl Dash, mpyx LLC, GlDash a alum.mi.du Copyigh, 5 mpyx LLC ou las hap, w divd ou hid fom of Maxwll s quaios, whih w alld h ompuaioal
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationHandout on. Crystal Symmetries and Energy Bands
dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h
More informationValley Forge Middle School Fencing Project Facilities Committee Meeting February 2016
Valley Forge iddle chool Fencing roject Facilities ommittee eeting February 2016 ummer of 2014 Installation of Fencing at all five istrict lementary chools October 2014 Facilities ommittee and
More informationx, x, e are not periodic. Properties of periodic function: 1. For any integer n,
Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationTwo kinds of queuing management policy for improving customer satisfaction with waiting under the M / M / C C 2
Iaioal Joual o Si Vol.2 o.10 2015 ISS: 1813-4890 wo kids o quuig maagm poliy o impovig usom saisaio wih waiig ud h M / M / C C 2 muli-sv quuig sysm Absa Shihg Gua Ami Wag Shool o Eoomis ad Maagm Xidia
More informationVariational Equation or Continuous Dependence on Initial Condition or Trajectory Sensitivity & Floquet Theory & Poincaré Map
Vaiaioal Equaio o Coiuous Dpc o Iiial Coiio o Tajco Ssiivi & Floqu Tho & Poicaé Map. Gal ia o ajco ssiivi.... Homogous Lia Tim Ivaia Ssm...3 3. No - Homogous Lia Tim Ivaia Ssm...3 Eampl (LTI:.... Homogous
More informationAvailable online at J. Math. Comput. Sci. 2 (2012), No. 4, ISSN:
Available olie a h://scik.og J. Mah. Comu. Sci. 2 (22), No. 4, 83-835 ISSN: 927-537 UNBIASED ESTIMATION IN BURR DISTRIBUTION YASHBIR SINGH * Deame of Saisics, School of Mahemaics, Saisics ad Comuaioal
More informationEnvironmental Impact Monitoring Center of Armenia
Wa Qualy M a. Ps ad Fuu. Th pa f al das fals h asbuday sufa wa qualy. Sya H. Masya Eval Ipa M C f a 29 Kas S., 0012 Yva, a Tl: (+37410) 266191, Mb.Tl: (+37491) 266191 Fax: (+37410) 272007 Sya_asya@yah.
More informationCONTENTS. Hugo Reitzel, the pickles enthusiast CERTIFICATIONS JARS POUCHES & CANS SALAD DRESSING MINI-TUBES
v4. APRIL 2018. Hugo Rz, h pk hu Th of h uhd gu g ou Hugo Rz. I 1909, Ag, Sw vg, h uhd h ow op wh vo: o p up h wod of od! Ad fo ov o hudd ow, w hoo h hg b ug ou xp o o ov ou bu od o bo THE od p. W ufu
More informationThe Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues
Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co
More informationNumerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions
IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics
More informationNumerical methods for ordinary differential equations
A Maser Scieiic copuig Nuerical ehos or oriar iereial equaios Oriar iereial equaios Le be a ocio o oe variable havig successive erivaives. A h orer oriar iereial equaio ODE is a equaio o he or: A s orer
More informationPricing Study on Two Kinds of Power Options in Jump-Diffusion Models with Fractional Brownian Motion and Stochastic Rate
Applid Mahaics 04 5 46-44 Publishd Oli pb 04 i cirs hp://wwwscipog/joual/a hp://dxdoiog/0436/a045634 Picig udy o wo ids of Pow Opios i Jup-Diffusio Modls wih Facioal Bowia Moio ad ochasic Ra Ji Li aili
More informationPhase plane method is an important graphical methods to deal with problems related to a second-order autonomous system.
NCTU Dpam of Elcical ad Compu Egiig Sio Cous
More informationToday s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom
Today s topic Sttig up th Hydog Ato pobl Hydog ato pobl & Agula Motu Objctiv: to solv Schödig quatio. st Stp: to dfi th pottial fuctio Schatic of Hydog Ato Coulob s aw - Z 4ε 4ε fo H ato Nuclus Z What
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More informationQuality Monitoring Calibration Assuring Standardization Among Monitors
Qualiy Moioig alibaio Assuig Sadadizaio Amog Moios MOR Rspod oopaio Wokshop Spmb 2006 Ral Soluios fo Tlpho Suvy Mhodology alibaio - accodig o Wbs To sadadiz by dmiig h dviaio fom a sadad as o ascai h pop
More informationLecture 14. Time Harmonic Fields
Lcu 4 Tim amic Filds I his lcu u will la: Cmpl mahmaics f im-hamic filds Mawll s quais f im-hamic filds Cmpl Pig vc C 303 Fall 007 Faha aa Cll Uivsi Tim-amic Filds ad -filds f a pla wav a (fm las lcu:
More informationLecture 2: Bayesian inference - Discrete probability models
cu : Baysian infnc - Disc obabiliy modls Many hings abou Baysian infnc fo disc obabiliy modls a simila o fqunis infnc Disc obabiliy modls: Binomial samling Samling a fix numb of ials fom a Bnoulli ocss
More informationStudy of Tyre Damping Ratio and In-Plane Time Domain Simulation with Modal Parameter Tyre Model (MPTM)
Sudy o Ty Damping aio and In-Plan Tim Domain Simulaion wih Modal Paam Ty Modl (MPTM D. Jin Shang, D. Baojang Li, and Po. Dihua Guan Sa Ky Laboaoy o Auomoiv Say and Engy, Tsinghua Univsiy, Bijing, China
More informationRAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels
AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv
More informationSupplementary Information
Supplemeay Ifomaio No-ivasive, asie deemiaio of he coe empeaue of a hea-geeaig solid body Dea Ahoy, Daipaya Saka, Aku Jai * Mechaical ad Aeospace Egieeig Depame Uivesiy of Texas a Aligo, Aligo, TX, USA.
More information( A) ( B) ( C) ( D) ( E)
d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs
More information1973 AP Calculus BC: Section I
97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f
More informationLIPSCHITZ ESTIMATES FOR MULTILINEAR COMMUTATOR OF MARCINKIEWICZ OPERATOR
Reseh d ouiios i heis d hei Siees Vo. Issue Pges -46 ISSN 9-699 Puished Oie o Deee 7 Joi Adei Pess h://oideiess.e IPSHITZ ESTIATES FOR UTIINEAR OUTATOR OF ARINKIEWIZ OPERATOR DAZHAO HEN Dee o Siee d Ioio
More informationPart I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident
Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao
More informationComparing Different Estimators for Parameters of Kumaraswamy Distribution
Compaig Diffee Esimaos fo Paamees of Kumaaswamy Disibuio ا.م.د نذير عباس ابراهيم الشمري جامعة النهرين/بغداد-العراق أ.م.د نشات جاسم محمد الجامعة التقنية الوسطى/بغداد- العراق Absac: This pape deals wih compaig
More informationPractice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11,
Prai paprs A ad B, produd by Edl i 9, wih mark shms Prai Papr A. Fid h valus of for whih 5 osh sih =, givig your aswrs as aural logarihms. (Toal 6 marks) k. A = k, whr k is a ral osa. 9 (a) Fid valus of
More informationChapter 3 Linear Equations of Higher Order (Page # 144)
Ma Modr Dirial Equaios Lcur wk 4 Jul 4-8 Dr Firozzama Darm o Mahmaics ad Saisics Arizoa Sa Uivrsi This wk s lcur will covr har ad har 4 Scios 4 har Liar Equaios o Highr Ordr Pag # 44 Scio Iroducio: Scod
More informationAnouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent
oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps
More information9.4 Absorption and Dispersion
9.4 Absoon and Dsson 9.4. loagn Wavs n Conduos un dnsy n a onduo ollowng Oh s law: J Th Maxwll s uaons n a onduo lna da should b: ρ B B B J To sly h suaon w agu ha h hag dsaas uly n a aoso od. Fo h onnuy
More informationMath 2414 Homework Set 7 Solutions 10 Points
Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we
More informationRight Angle Trigonometry
Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih
More informationAngle Modulation: NB (Sinusoid)
gle Moulaio: NB Siuoi I uay, i he eage igal i a pue iuoi, ha i, a a i o o PM o FM The, i whee a p a o PM o FM : pea equey eviaio Noe ha i ow a oulaio ie o agle oulaio a i he aiu value o phae eviaio o boh
More informationRF Cavities Y. Papaphilippou, N. Catalan Lasheras
RF Caviis Y. Papaphilippou, N. Caala Lashas RF Caviis. USPAS, Ju 5 USPAS, Coll Uivsiy, Ihaa, NY h Ju s July 5 How o podu a RF fild RF Caviis. USPAS, Ju 5 I f spa, h lomagi wav has li ad magi fild vos ppdiula
More informationFinal Exam. Thursday, December hours, 30 minutes
San Faniso Sa Univsi Mihal Ba ECON 30 Fall 0 Final Exam husda, Dmb 5 hous, 30 minus Nam: Insuions. his is losd book, losd nos xam.. No alulaos of an kind a allowd. 3. Show all h alulaions. 4. If ou nd
More informationWeb-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite
Wb-basd Supplmary Marials for Sampl siz cosidraios for GEE aalyss of hr-lvl clusr radomizd rials by Sv Trsra, Big Lu, oh S. Prissr, Tho va Achrbrg, ad Gorg F. Borm Wb-appdix : macro o calcula h rag of
More informationExecutive Committee and Officers ( )
Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r
More informationAir Filter 90-AF30 to 90-AF60
Ai il -A o -A6 Ho o Od A /Smi-sndd: Sl on h fo o. /Smi-sndd symol: Whn mo hn on spifiion is uid, indi in lphnumi od. Exmpl) -A-- Sis ompil ih sondy is Mil siion Smi-sndd Thd yp Po siz Mouning lo diion
More informationOH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9
OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at
More informationNocturnes Nocturne op. 27 Nº.2 in D b Major
RICHARD OHNON EDITION Fdic Chopi Nocus Nocu op 27 Nº2 i D b Mao This f doload pdf fil is povidd solly fo psoal us Richad ohso Ediios a ly gavd ux diios of public domai oks ad a pocd by applicabl copyigh
More informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More informationPath Loss in Macrocells Comparison of Hata s Model and Lee s Model
WRLSS COMMUCATOS TCHOLOGS Rugs Uivsiy, Dam o lial ad Comu giig Cous umb: 6:33:559: Advad Tois i Commuiaio giig Posso: aaya Madayam Lu 3 & 4 Ja 3h & Fb 4h, Summay by ig Li Pah Loss i Maolls Comaiso o Haa
More information1a.- Solution: 1a.- (5 points) Plot ONLY three full periods of the square wave MUST include the principal region.
INEL495 SIGNALS AND SYSEMS FINAL EXAM: Ma 9, 8 Pro. Doigo Rodrígz SOLUIONS Probl O: Copl Epoial Forir Sri A priodi ri ar wav l ad a daal priod al o o od. i providd wi a a 5% d a.- 5 poi: Plo r ll priod
More informationc. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f
Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the
More informationABSOLUTE INDEXED SUMMABILITY FACTOR OF AN INFINITE SERIES USING QUASI-F-POWER INCREASING SEQUENCES
Available olie a h://sciog Egieeig Maheaics Lees 2 (23) No 56-66 ISSN 249-9337 ABSLUE INDEED SUMMABILIY FACR F AN INFINIE SERIES USING QUASI-F-WER INCREASING SEQUENCES SKAIKRAY * RKJAI 2 UKMISRA 3 NCSAH
More informationIntegrated Optical Waveguides
Su Opls Faha Raa Cll Uvs Chap 8 Ia Opal Wavus 7 Dl Slab Wavus 7 Iu: A va f ff a pal wavus a us f a u lh a hp Th s bas pal wavu s a slab wavus shw blw Th suu s uf h - Lh s u s h b al al fl a h -la fas Cla
More informationFun and Fascinating Bible Reference for Kids Ages 8 to 12. starts on page 3! starts on page 163!
F a Faa R K 8 12 a a 3! a a 163! 2013 a P, I. ISN 978-1-62416-216-9. N a a a a a, a,. C a a a a P, a 500 a a aa a. W, : F G: K Fa a Q &, a P, I. U. L aa a a a Fa a Q & a. C a 2 (M) Ta H P M (K) Wa P a
More informationGUIDE FOR SUPERVISORS 1. This event runs most efficiently with two to four extra volunteers to help proctor students and grade the student
GUIDE FOR SUPERVISORS 1. This vn uns mos fficinly wih wo o fou xa voluns o hlp poco sudns and gad h sudn scoshs. 2. EVENT PARAMETERS: Th vn supviso will povid scoshs. You will nd o bing a im, pns and pncils
More informationTHIS PAGE DECLASSIFIED IAW EO 12958
L " ^ \ : / 4 a " G E G + : C 4 w i V T / J ` { } ( : f c : < J ; G L ( Y e < + a : v! { : [ y v : ; a G : : : S 4 ; l J / \ l " ` : 5 L " 7 F } ` " x l } l i > G < Y / : 7 7 \ a? / c = l L i L l / c f
More informationGREEN ACRES TRIBUTARY B/W BEGIN RETAINING WALL T/W
W PK UV S IU PK VI II. HIHW -. /W................................ S IU P..S SU HKS:.... US U... US U IS U S I PPI. SUHWS H I HS HWS.. H I PK UV. VI =. (V ).... /W......'. PPS II... /W..'.'..' W (SI HS)..'.'.'..
More informationAnalytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function
I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo
More informationTEMPERATURE FIELD DETERMINATION FOR ORTHOGONAL METAL CUTTING
EMPERAURE FIEL EERMIAIO FOR ORHOGOAL MEAL UIG João Baisa d Aguia Uivsidad d São Paulo, o d Eg. Maôia d Sismas Mâios jbaguia@us.b São Paulo, SP, Basil Mlho R. Madigal (Uivsidad ISPJAE, o d M. Fa. Igiia
More informationApplications of force vibration. Rotating unbalance Base excitation Vibration measurement devices
Applicaios of foce viaio Roaig ualace Base exciaio Viaio easuee devices Roaig ualace 1 Roaig ualace: Viaio caused y iegulaiies i he disiuio of he ass i he oaig copoe. Roaig ualace 0 FBD 1 FBD x x 0 e 0
More informationELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION
. l & a s s Vo Flds o as l axwll a l sla () l Fld () l olasao () a Flx s () a Fld () a do () ad è s ( ). F wo Sala Flds s b dd l a s ( ) ad oool a s ( ) a oal o 4 qaos 3 aabls - w o Lal osas - oz abo Lal-Sd
More informationOn Jackson's Theorem
It. J. Cotm. Math. Scics, Vol. 7, 0, o. 4, 49 54 O Jackso's Thom Ema Sami Bhaya Datmt o Mathmatics, Collg o Educatio Babylo Uivsity, Babil, Iaq mabhaya@yahoo.com Abstact W ov that o a uctio W [, ], 0
More informationShor s Algorithm. Motivation. Why build a classical computer? Why build a quantum computer? Quantum Algorithms. Overview. Shor s factoring algorithm
Motivation Sho s Algoith It appas that th univs in which w liv is govnd by quantu chanics Quantu infoation thoy givs us a nw avnu to study & tst quantu chanics Why do w want to build a quantu coput? Pt
More informationNocturnes Nocturne op. 15 Nº.2 in F # Major
RICHARD OHNON EDITION Fdic Chopi Nocus Nocu op 1 Nº2 i F Mao This f doload pdf fil is povidd solly fo psoal us Richad ohso Ediios a ly gavd ux diios of public domai oks ad a pocd by applicabl copyigh la
More informationGavilan JCCD Trustee Areas Plan Adopted November 10, 2015
Gvil JCCD Tust A Pl Aopt Novmb, S Jos US p Ls Pl Aopt // Cit/Csus Dsigt Plc ighw Cit Aom ollist igm S Jos Ts Pios c Ps 4 ut S Bito ut ils Aom ollist igm Ts Pios S Bito ut Lpoff & Goblt Dmogphic sch, Ic.
More informationDecline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline.
Dlin Curvs Dlin Curvs ha lo flow ra vs. im ar h mos ommon ools for forasing roduion and monioring wll rforman in h fild. Ths urvs uikly show by grahi mans whih wlls or filds ar roduing as xd or undr roduing.
More informationISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 4, Issue 9, March 2015
IN: 77-75 IO 9:8 Ciid Iiol oul o Egiig d Ioviv cology IEI Volu Issu 9 c 5 5 l oluio o ic Aul isc du o H io sj. Kogd; A. A. Nvl;.. W d N. W. Kogd p o ics Educiol Cpus R Ngpu Uivsiy Ngpu Idi. Asc- I is pp
More informationIn this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)
Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )
More informationPhysics 232 Exam I Feb. 13, 2006
Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.
More informationThe Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27
Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a
More informationGet Funky this Christmas Season with the Crew from Chunky Custard
Hol Gd Chcllo Adld o Hdly Fdy d Sudy Nhs Novb Dcb 2010 7p 11.30p G Fuky hs Chss Sso wh h Cw fo Chuky Cusd Fdy Nhs $99pp Sudy Nhs $115pp Tck pc cluds: Full Chss d buff, 4.5 hou bv pck, o sop. Ts & Codos
More informationODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003
ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous
More informationVARIED SIZED FLOOR PLATE S O N - S I T E B U I L D I N G A M E N I T I E S
VAIED SIZED FLOO PLAE S O - S I E B U I L D I G A E I I E S AVAILABILIIES HIGH-ISE EIE 29H FLOO 16,584 SF LEASE OU ID-ISE PAIAL 18H FLOO 12,459 SF 08/2019 ID-ISE PAIAL 14H FLOO 7,232 SF 08/2019 LOW-ISE
More informationK owi g yourself is the begi i g of all wisdo.
I t odu tio K owi g yourself is the begi i g of all wisdo. A istotle Why You Need Insight Whe is the last ti e ou a e e e taki g ti e to thi k a out ou life, ou alues, ou d ea s o ou pu pose i ei g o this
More informationP a g e 3 6 of R e p o r t P B 4 / 0 9
P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J
More informationGavilan JCCD Trustee Areas Plan Adopted October 13, 2015
S Jos Gvil JCCD Trust Ar Pl Aopt Octobr, 0 p Lrs Pl Aopt Oct, 0 Cit/Csus Dsigt Plc ighw US 0 Cit Arom ollistr igmr S Jos Trs Pios cr Ps 4 ut S Bito ut 0 0 ils Arom ollistr igmr Trs Pios 7 S Bito ut Lpoff
More informationF.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics
F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mahemaics Prelim Quesio Paper Soluio Q. Aemp ay FIVE of he followig : [0] Q.(a) Defie Eve ad odd fucios. [] As.: A fucio f() is said o be eve fucio if
More informationThe Moúõ. ExplÉüers. Fun Facts. WÉüd Proèô. Parts oì Sp. Zoú Animal Roêks
onn C f o l b Ta 4 5 õ Inoåucio Pacic 8 L LoËíca c i c 3 a P L Uppca 35 k W h Day oì 38 a Y h Moõh oì WÉüld 44 o nd h a y a d h Bi 47 u g 3-D Fi 54 Zoú Animal 58 Éüm Landf 62 Roêk 68 Th Moúõ õ o 74 l k
More informationInverse Thermoelastic Problem of Semi-Infinite Circular Beam
iol oul o L choloy i Eii M & Alid Scic LEMAS Volu V u Fbuy 8 SSN 78-54 v holic Pobl o Si-ii Cicul B Shlu D Bi M. S. Wbh d N. W. Khobd 3 D o Mhic Godw Uiviy Gdchioli M.S di D o Mhic Svody Mhvidyly Sidwhi
More informationRelation (12.1) states that if two points belong to the convex subset Ω then all the points on the connecting line also belong to Ω.
Lectue 6. Poectio Opeato Deiitio A.: Subset Ω R is cove i [ y Ω R ] λ + λ [ y = z Ω], λ,. Relatio. states that i two poits belog to the cove subset Ω the all the poits o the coectig lie also belog to Ω.
More informationBayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data
Bys Eso of h s of h Wull-Wull gh-bs xu suos usg so S. A. Sh N Bouss I.S.S. Co Uvsy I.N.P.S. Algs Uvsy shsh@yhoo.o ou005@yhoo.o As I hs h s of h Wull-Wull lgh s xu suos s usg h Gs slg hqu u y I sog sh.
More informationCauses of deadlocks. Four necessary conditions for deadlock to occur are: The first three properties are generally desirable
auss of dadloks Four ssary oditios for dadlok to our ar: Exlusiv ass: prosss rquir xlusiv ass to a rsour Wait whil hold: prosss hold o prviously aquird rsours whil waitig for additioal rsours No prmptio:
More information176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s
A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps
More information1. Mathematical tools which make your life much simpler 1.1. Useful approximation formula using a natural logarithm
. Mhmicl ools which mk you lif much simpl.. Usful ppoimio fomul usig ul logihm I his chp, I ps svl mhmicl ools, which qui usful i dlig wih im-sis d. A im-sis is squc of vibls smpd by im. As mpl of ul l
More informationBMM3553 Mechanical Vibrations
BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy
More informationMA 1201 Engineering Mathematics MO/2017 Tutorial Sheet No. 2
BIRLA INSTITUTE OF TECHNOLOGY, MESRA, RANCHI DEPARTMENT OF MATHEMATICS MA Egieeig Matheatis MO/7 Tutoia Sheet No. Modue IV:. Defie Beta futio ad Gaa futio.. Pove that,,,. Pove that, d. Pove that. & whee
More informationThe Log-Gamma-Pareto Distribution
aoa Joa of Scc: Bac ad Appd Rach JSBAR SSN 37-453 P & O hp:odphp?oajoaofbacadappd ---------------------------------------------------------------------------------------------------------------------------
More information8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions
Solutios for HW 8 Captr 5 Cocptual Qustios 5.. θ dcrass. As t crystal is coprssd, t spacig d btw t plas of atos dcrass. For t first ordr diffractio =. T Bragg coditio is = d so as d dcrass, ust icras for
More informationCATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A. Ήχος Πα. to os se e e na aș te e e slă ă ă vi i i i i
CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A Ήχος α H ris to os s n ș t slă ă ă vi i i i i ți'l Hris to o os di in c ru u uri, în tâm pi i n ți i'l Hris
More informationSUMMATION OF INFINITE SERIES REVISITED
SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral
More information2 tel
Us. Timeless, sophisticated wall decor that is classic yet modern. Our style has no limitations; from traditional to contemporar y, with global design inspiration. The attention to detail and hand- craf
More informationA Review of Dynamic Models Used in Simulation of Gear Transmissions
ANALELE UNIVERSITĂłII ETIMIE MURGU REŞIłA ANUL XXI NR. ISSN 5-797 Zol-Ios Ko Io-ol Mulu A Rvw o ls Us Sulo o G Tsssos Th vsgo o lv s lu gg g olg l us o sov sg u o pps g svl s oug o h ps. Th pupos o h ols
More informationChapter 11 Solutions ( ) 1. The wavelength of the peak is. 2. The temperature is found with. 3. The power is. 4. a) The power is
Chapt Solutios. Th wavlgth of th pak is pic 3.898 K T 3.898 K 373K 885 This cospods to ifad adiatio.. Th tpatu is foud with 3.898 K pic T 3 9.898 K 50 T T 5773K 3. Th pow is 4 4 ( 0 ) P σ A T T ( ) ( )
More informationCameras and World Geometry
Caeas ad Wold Geoe How all is his woa? How high is he caea? Wha is he caea oaio w. wold? Which ball is close? Jaes Has Thigs o eebe Has Pihole caea odel ad caea (pojecio) ai Hoogeeous coodiaes allow pojecio
More information