õ Î î Ç Phase Detector Â
|
|
- Jason Atkinson
- 5 years ago
- Views:
Transcription
1 õ Î î Ç Phase Detector Â Ì ç í 1, Â Ä 2, Ö ì µ 1 1 ¼ ë Ð ³ ü â Ä» Í ø Ð ú, 2 Ñ ¹ ü Ú ë Å ø í Ó º À T E L : ( O 2 ) , E - m a l : p a¹ tn ihmrmnm sä egm rnm Ynm½u iï cä owm rnmiḑ4 y OÌm rnm1s säò ed ilh a aä c ¹kº A Giga- bps C lock and Data Recoveq System with a New Phase Detector J a e - U k L e e 1, D e s k C h e w - 2, W o o - Y o u n g C h o p ( 1 D e p t o f E l a m c a l a d C o m p u t e r E n g, Y o n s e i U n i v e r s i t y, 2 m e c u m H c s a d T e l a o r n m u r t i c a t i o n s R e s e a r c h I n s t i t u t e, H i g h s p e e d s w i t c h T e m T E L : ( O 2 ) B 7 4, E - m O l : pm am tu ibmrmnm sä egm InmYnm½u iï cä oìm rnm1m 4 y oìm rnm1s sä» ed ilmaaä Ccd»k lkó é - A b s t r a c t Sen d transmission links at Gbps a e bc om r a commercial r eality td ay - T o V ansmit high Sï à d dam, clä k ra overy ch um- s a- cri Ucally imm rtant and must be develon d Gmt W e proä se a Gbps ClÄ k and Data Ra m e y (CD[D Sy stem w ith a new Phase De- cm (fd ) T he PD can sense data transition and sa y deactivated during no- transition m 1d s n e sy stem w ith a new PD has faster lä king dme M d su¼p r esses high fmquem y j itter T his sy ste m is designed w ith 25 V, Oø p m CM 0 S with H SPICE simulation 1 I n t r o d u c t i o n º ü Â Ò ñ Í ú ñ ë Ì ó  å CM0 S ç ë Ñ Ã º Û ë Ñ Â Ð Ô ø à Ç í Ö Ù æå à º Û Ì í Ó, ë ë Ê û ó, à º Û ¹ Ç ý û Ö Ù Ì û ó GbpsÞ Ç ô º Î Î Í clä k Å ß ã Ï Â Ç Ñ ß Ì ç î ö í Ö Ù Fiber - channel» ç ë Ñ data transceiver Ç æì GbpsÞ ü Û ü BER< l o-- Ç º ó ² ä Ï â µ Ñ Ù Gig- it Ethernet ProtÄ ol (% 23 z)ç æ ì 12 5Gbps dataü ¹ ø Ï â Ø Physic Layer Ç Ô Ý ² 8B 10B coding à ç ë Ñ N RZ dataî ï í Ö ç, â ç ë É PM A (Physical M d ium A ttachment) L ayer Ô È T BI (T en Bit Interface) block º 1 M H zç à º Û clä k Î Î Í 12 5GH zç clock» ß ý Ã Ñ data lä k Ã Ñ ß Ñ Ù [ 1]» È È Ã º Û º Ì Ñ â É ² ö à Ò ö Ö µ Ï 1OÐ Ö È Ã º Û cla k ² ø Þ Æ GHzÞ Ç data ¹ ø ç ë É clä k» ß ý à í NRZ dataç transition Ý ë Ï Â õ Î î Ç PDê ç ë Ï Ó È Oú 1Ì ö Å É æ ì µ Ù È û Î d Ä k Ã ß ý à µ Ï ³ è Ç ú Ù 2å  ü ¼ à º Û ç ë È blä k ú È È Î Ç â ó» ³ í Ï í 3 å ³ è È ü ¼ à º Û ë Ñ HSPICE simulation á ú Ì ç á Ð Ã Î Â Ù 9 1
2 g Ö ±m >½ = 2 C D R s t r u c t u r e È È Ã º Û º ² 1 ¼ ö Ö í Ì 1OÐ Ö È Ã º Û clä k V CO (V oltage Controlld oscillator ) ini ti al frq uem y acquisition Ç Â Ï Ý û Î PFD (Phase FIº uency Det- - r ) ç ë Ñ lä p[2], Ì ó  dam ö Å É æ ì dag Ü tr am nion à deä ct Ï UPú DOW N Å ß ý à  lä p[3], í Ì Î lä p Ç Û Ã ± Ã Ò ö Ö µ Ï î Ï Â lä k da m or Ç ¼ Î Ð Î ª ö Ö Ù [4,5] Ddw mud Iø D m e iñ D * c C:WN R d d R o t- - d h C - e- Da, * u l U K í - - ¹ L ku d* d Û» I C P - a la-a X du - -B - - -L du - -c n h U (Í Ch ck Ì D u ð u D h u - r,,,» 7Jm f m J (b) C lock ú D u aâ lock Ç ú» û R ÄWN v v v v v x du a A ,, - d u B Z d u -C + d ¹ f s, n m f ± ± ( c ) C h c k Ì D - u Ê» ð ± 3 Pt- a- e D e te ct o r Ç î Û 9 2
3 é dam- B Í Ì Ù ü Ð data- A Í Ç ex clusive- ORü ë Ø ò î ö ç UP Å Â dau - A Í dau - C Ç exclusive- OR µ ª ß clä k Å Í ã  ΠР² deta t Ï á ¹ data- B Ç d geí clä k Ç negative d geê lä k Ã Ô È Ù ² 4 (a)â Ì ó û Î æ ì Ç PD Û ¾ ª» í Ö Ù [ 1] È È Î Ç Û º ³ 4 (b )ê Ì í Ì delay Ç â (Ë) ö Ï Ì ó û Î æì Ù Ï Ô Ç Â, delay Ç â í Ç î Ö» æ ì À Á ç ë Ç Â clock Ç Ö Ä ö û ó ËÇ â Ù ð ö Ö ½ ² Ü Ì Ñ Ù Ç Ì µ ª º Ö ë î ö å É ö Ö Â dd ay V CO Ö Ä ö û ó ó Ç ª» ú ö Ö î ß Ö û Ç Û» Ò ö Ö È Ã Ç Ì Ñ Ù È È Â 4Ü differential inver ter V CO Ç ³ è Ä 2Ü Ç ¹» ç ë Ï m Ç delay ç ú ö Ö µ Ï Ï ç î ü л Ï V COÇ Ö Ä ö û ó û Î Û Ï Ô È Ù Ö í Ö ç VCO gainº à XPMHz¹ Ì Ù z Y, os--: r m f* ù 6 V Ex- a t :,, o s RH u meyµ - = c mroi Volu - -IVl ² 7 VC0 Hequem y º Ò ± W u (a) Ç Ñ æì Ç m î Û P K - - [ ± t -* ² 4 Ru a D a m Ç Û È È È Ç m î Û VCO ³ 5ú Ì 4Ü Ç differential inve t- ç ç ë Ï º Ï ç lak h ü Â Ç loadê Î Ï í Ó Ö È û Î ß» Ò ö Ö ç ß ø ø ø Ç â õ Ã Ñ PD Ù È û Î ü Û ² Ò ö Öµ Ï Ï Ø Ù [6] v d d ra d[ rd[ ]h ]V è4 M,,, (a) â ì Ä ll ) 4Ü d m - m u Ä ci1l 5 VCOÇ Î ä ² 6 õ É Ö Ä ö Ç VC0 Ø Ù ³ è È VCOÇ Ö Ä ö å º º é
4 2000â 5ù CAD 3 S i m u l a t i o n a n d A n a l y s i s È È Ã º Û º ² 1ú Ì º Ç î ö Å È damü ¹ ø Ï Ô Ç Â ü ¼ à º Û Ç º É º VC0 Ç î Å Î Ë ö Ö Ù ³ 9 ö Å È dah 16Ä bps, 15 Ä bps, 14Ä bpsï Ç VÄ î ü л ª ½ Í Ì Ù Ê â Ö Ä ö ñ Ö Ä ö Ç 10%Ì» ¹ ÖÙ í ß» Ç Ê â ª Î Ã Û Ï Ç lä king time» ¼ ö Ö Â ß É Ö Ä ö ü þ î ö Ï ³ ü ù Ç Ø lä MÄ UmeÌ æî ö Ô Ç ö (b)ç æì O3, sì» lockingì Ê» Ë ö Ö Ù ² 1Oº 15Ä bpsç dab ê ö Å ß» PDÇ delay control voltageü ª» í Ö VCO î Ï Â ü Ð Ì ÆÑ lä p filter Ç cap o mr É ü Ð Î Ù È û Î PDê î Ï í Ö½» Ë ö ÖÙ ± O, 4 4 T i n - { p l» Ú,,, - - I µ, I A Oo o o o o r am - * J ± ± : 3 T im I u l ± - - a rm ing tiff- ng, µ, -,, T lm I l ± Ä o au an 6 n ne [nï ³ 12R e ify- d C lock a d D au I x, 4 n m I u l 9 4
5 4 C o n c h s i o n»  daw Ç Vano tion» deta t Ï Â delay cell² Ì ë Ñ PDê È Ï Mgh frq uem y j itter Ù Ì í ü Ð lä Mng time» µ Ï Ï í, ë Û º damí clä k Ç phase error û simulation² ë Ø Ë õ Ï Ù Ì Ç Ã º Û º NRZ ü Â Ç dau Ó È O, 1² ö Å Ò µ È û Î Û ² Ï Ô Ç ç VCOÇ â» cell» ç ë Ñ PDÇ ³ è Î ³ è à ² Ü à à ð ö Ö ç PD MUX, ü Ï ß Á  í Ó Ç Û ² å Ï â Ø h 1ly diffe ntial logic Î ³ è Ç ú Ù blä kº Gig- it Ethernet R otä ol Â ß î ³ è Ç î high S@d switch data transceiv- Î Ì ë É ö Ö² Í Ì Ù R e f er e n c e s [1] I EEE Sd 23, 1%8 Edition [2] Bet ad Ra n i, MomOra- PAg e-l- A- d Loops and Cfa A Ra m-- Orea s, n eo- ad * sòn, E EE Press, 1%% [3] Bang- sup Song, et al, NRZ Timing Ra overy Tc hu m- for Band- Limitd Channels,± JSSC, vol- 32, no4, m 514- Ä 0, AN il [4] German Guiderrez, et d, 4248 Gb s Silicon BiÄ lar ClÄ k and Data Ra w a y IC for SONER OC- 48),± CICC, m 5755 % M B [5] Moun- Meghelli, et d, SiGe BiCM 0 S 33V ClÄ k and Data R- ov- T Send Transmission PPM -57, 2d P [6] K- m-an In varh, et d, Ra overy for 12Ä b s in O3 5p m CM0 S,± [7] John P W a tt- a, rl9, %Sa pa- - ~ - H a - - Rm - -,
An Example file... log.txt
# ' ' Start of fie & %$ " 1 - : 5? ;., B - ( * * B - ( * * F I / 0. )- +, * ( ) 8 8 7 /. 6 )- +, 5 5 3 2( 7 7 +, 6 6 9( 3 5( ) 7-0 +, => - +< ( ) )- +, 7 / +, 5 9 (. 6 )- 0 * D>. C )- +, (A :, C 0 )- +,
More informationLA PRISE DE CALAIS. çoys, çoys, har - dis. çoys, dis. tons, mantz, tons, Gas. c est. à ce. C est à ce. coup, c est à ce
> ƒ? @ Z [ \ _ ' µ `. l 1 2 3 z Æ Ñ 6 = Ð l sl (~131 1606) rn % & +, l r s s, r 7 nr ss r r s s s, r s, r! " # $ s s ( ) r * s, / 0 s, r 4 r r 9;: < 10 r mnz, rz, r ns, 1 s ; j;k ns, q r s { } ~ l r mnz,
More information! " # $! % & '! , ) ( + - (. ) ( ) * + / 0 1 2 3 0 / 4 5 / 6 0 ; 8 7 < = 7 > 8 7 8 9 : Œ Š ž P P h ˆ Š ˆ Œ ˆ Š ˆ Ž Ž Ý Ü Ý Ü Ý Ž Ý ê ç è ± ¹ ¼ ¹ ä ± ¹ w ç ¹ è ¼ è Œ ¹ ± ¹ è ¹ è ä ç w ¹ ã ¼ ¹ ä ¹ ¼ ¹ ±
More informationETIKA V PROFESII PSYCHOLÓGA
P r a ž s k á v y s o k á š k o l a p s y c h o s o c i á l n í c h s t u d i í ETIKA V PROFESII PSYCHOLÓGA N a t á l i a S l o b o d n í k o v á v e d ú c i p r á c e : P h D r. M a r t i n S t r o u
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 informationFramework for functional tree simulation applied to 'golden delicious' apple trees
Purdue University Purdue e-pubs Open Access Theses Theses and Dissertations Spring 2015 Framework for functional tree simulation applied to 'golden delicious' apple trees Marek Fiser Purdue University
More informationOptimal Control of PDEs
Optimal Control of PDEs Suzanne Lenhart University of Tennessee, Knoville Department of Mathematics Lecture1 p.1/36 Outline 1. Idea of diffusion PDE 2. Motivating Eample 3. Big picture of optimal control
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 informationThis document has been prepared by Sunder Kidambi with the blessings of
Ö À Ö Ñ Ø Ò Ñ ÒØ Ñ Ý Ò Ñ À Ö Ñ Ò Ú º Ò Ì ÝÊ À Å Ú Ø Å Ê ý Ú ÒØ º ÝÊ Ú Ý Ê Ñ º Å º ² ºÅ ý ý ý ý Ö Ð º Ñ ÒÜ Æ Å Ò Ñ Ú «Ä À ý ý This document has been prepared by Sunder Kidambi with the blessings of Ö º
More informationAgenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2
Internal Innovation @ C is c o 2 0 0 6 C i s c o S y s t e m s, I n c. A l l r i g h t s r e s e r v e d. C i s c o C o n f i d e n t i a l 1 Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork
More informationh : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner
m m i s t r * j i ega>x I Bi 5 n ì r s w «s m I L nk r n A F o n n l 5 o 5 i n l D eh 1 ; 5 i A cl m i n i sh» si N «q a : 1? { D v i H R o s c q \ l o o m ( t 9 8 6) im a n alaa p ( M n h k Em l A ma
More informationOC330C. Wiring Diagram. Recommended PKH- P35 / P50 GALH PKA- RP35 / RP50. Remarks (Drawing No.) No. Parts No. Parts Name Specifications
G G " # $ % & " ' ( ) $ * " # $ % & " ( + ) $ * " # C % " ' ( ) $ * C " # C % " ( + ) $ * C D ; E @ F @ 9 = H I J ; @ = : @ A > B ; : K 9 L 9 M N O D K P D N O Q P D R S > T ; U V > = : W X Y J > E ; Z
More informationStochastic invariances and Lamperti transformations for Stochastic Processes
Stochastic invariances and Lamperti transformations for Stochastic Processes Pierre Borgnat, Pierre-Olivier Amblard, Patrick Flandrin To cite this version: Pierre Borgnat, Pierre-Olivier Amblard, Patrick
More informationExamination paper for TFY4240 Electromagnetic theory
Department of Physics Examination paper for TFY4240 Electromagnetic theory Academic contact during examination: Associate Professor John Ove Fjærestad Phone: 97 94 00 36 Examination date: 16 December 2015
More informationSoftware Process Models there are many process model s in th e li t e ra t u re, s om e a r e prescriptions and some are descriptions you need to mode
Unit 2 : Software Process O b j ec t i ve This unit introduces software systems engineering through a discussion of software processes and their principal characteristics. In order to achieve the desireable
More informationBooks. Book Collection Editor. Editor. Name Name Company. Title "SA" A tree pattern. A database instance
"! # #%$ $ $ & & & # ( # ) $ + $, -. 0 1 1 1 2430 5 6 78 9 =?
More informationGeneral Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator
General Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator E. D. Held eheld@cc.usu.edu Utah State University General Neoclassical Closure Theory:Diagonalizing the Drift Kinetic Operator
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 informationApplication of ICA and PCA to extracting structure from stock return
2014 3 Å 28 1 Ð Mar. 2014 Communication on Applied Mathematics and Computation Vol.28 No.1 DOI 10.3969/j.issn.1006-6330.2014.01.012 Ç ÖÇ Ú ¾Ä Î Þ Ý ( 200433) Ç È ß ³ Õº º ÅÂÞÐÆÈÛ CAC40 Õ Û ËÛ ¾ ÆÄ (ICA)
More informationUNIQUE FJORDS AND THE ROYAL CAPITALS UNIQUE FJORDS & THE NORTH CAPE & UNIQUE NORTHERN CAPITALS
Q J j,. Y j, q.. Q J & j,. & x x. Q x q. ø. 2019 :. q - j Q J & 11 Y j,.. j,, q j q. : 10 x. 3 x - 1..,,. 1-10 ( ). / 2-10. : 02-06.19-12.06.19 23.06.19-03.07.19 30.06.19-10.07.19 07.07.19-17.07.19 14.07.19-24.07.19
More informationAn Introduction to Optimal Control Applied to Disease Models
An Introduction to Optimal Control Applied to Disease Models Suzanne Lenhart University of Tennessee, Knoxville Departments of Mathematics Lecture1 p.1/37 Example Number of cancer cells at time (exponential
More informationUnit 3. Digital encoding
Unit 3. Digital encoding Digital Electronic Circuits (Circuitos Electrónicos Digitales) E.T.S.I. Informática Universidad de Sevilla 9/2012 Jorge Juan 2010, 2011, 2012 You are free to
More informationUse precise language and domain-specific vocabulary to inform about or explain the topic. CCSS.ELA-LITERACY.WHST D
Lesson eight What are characteristics of chemical reactions? Science Constructing Explanations, Engaging in Argument and Obtaining, Evaluating, and Communicating Information ENGLISH LANGUAGE ARTS Reading
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 informationQUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS
International Workshop Quarkonium Working Group QUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS ALBERTO POLLERI TU München and ECT* Trento CERN - November 2002 Outline What do we know for sure?
More informationMatrices and Determinants
Matrices and Determinants Teaching-Learning Points A matri is an ordered rectanguar arra (arrangement) of numbers and encosed b capita bracket [ ]. These numbers are caed eements of the matri. Matri is
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 informationF O R SOCI AL WORK RESE ARCH
7 TH EUROPE AN CONFERENCE F O R SOCI AL WORK RESE ARCH C h a l l e n g e s i n s o c i a l w o r k r e s e a r c h c o n f l i c t s, b a r r i e r s a n d p o s s i b i l i t i e s i n r e l a t i o n
More informationT T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, )
. ) 6 3 ; 6 ;, G E E W T S W X D ^ L J R Y [ _ ` E ) '" " " -, 7 4-4 4-4 ; ; 7 4 4 4 4 4 ;= : " B C CA BA " ) 3D H E V U T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, ) W X 6 G.. 6 [ X
More information$%! & (, -3 / 0 4, 5 6/ 6 +7, 6 8 9/ 5 :/ 5 A BDC EF G H I EJ KL N G H I. ] ^ _ ` _ ^ a b=c o e f p a q i h f i a j k e i l _ ^ m=c n ^
! #" $%! & ' ( ) ) (, -. / ( 0 1#2 ' ( ) ) (, -3 / 0 4, 5 6/ 6 7, 6 8 9/ 5 :/ 5 ;=? @ A BDC EF G H I EJ KL M @C N G H I OPQ ;=R F L EI E G H A S T U S V@C N G H IDW G Q G XYU Z A [ H R C \ G ] ^ _ `
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationPlanning for Reactive Behaviors in Hide and Seek
University of Pennsylvania ScholarlyCommons Center for Human Modeling and Simulation Department of Computer & Information Science May 1995 Planning for Reactive Behaviors in Hide and Seek Michael B. Moore
More information176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s
A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps
More information" #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y
" #$ +. 0. + 4 6 4 : + 4 ; 6 4 < = =@ = = =@ = =@ " #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y h
More informationBeechwood Music Department Staff
Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d
More informationMotivation for CDR: Deserializer (1)
Motivation for CDR: Deserializer (1) Input data 1:2 DMUX 1:2 DMUX channel 1:2 DMUX Input clock 2 2 If input data were accompanied by a well-synchronized clock, deserialization could be done directly. EECS
More informationTHIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.
T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson
More informationALTER TABLE Employee ADD ( Mname VARCHAR2(20), Birthday DATE );
!! "# $ % & '( ) # * +, - # $ "# $ % & '( ) # *.! / 0 "# "1 "& # 2 3 & 4 4 "# $ % & '( ) # *!! "# $ % & # * 1 3 - "# 1 * #! ) & 3 / 5 6 7 8 9 ALTER ; ? @ A B C D E F G H I A = @ A J > K L ; ?
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More informationVector analysis. 1 Scalars and vectors. Fields. Coordinate systems 1. 2 The operator The gradient, divergence, curl, and Laplacian...
Vector analysis Abstract These notes present some background material on vector analysis. Except for the material related to proving vector identities (including Einstein s summation convention and the
More informationThe distribution of characters, bi- and trigrams in the Uppsala 70 million words Swedish newspaper corpus
Uppsala University Department of Linguistics The distribution of characters, bi- and trigrams in the Uppsala 70 million words Swedish newspaper corpus Bengt Dahlqvist Abstract The paper describes some
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 General Procedure to Design Good Codes at a Target BER
A General Procedure to Design Good odes at a Target BER Speaker: Xiao Ma 1 maxiao@mail.sysu.edu.cn Joint work with: hulong Liang 1, Qiutao Zhuang 1, and Baoming Bai 2 1 Dept. Electronics and omm. Eng.,
More informationTHIS PAGE DECLASSIFIED IAW E
THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW EO 2958 THS PAGE DECLASSFED AW EO 2958 THS
More informationUse precise language and domain-specific vocabulary to inform about or explain the topic. CCSS.ELA-LITERACY.WHST D
Lesson seven What is a chemical reaction? Science Constructing Explanations, Engaging in Argument and Obtaining, Evaluating, and Communicating Information ENGLISH LANGUAGE ARTS Reading Informational Text,
More informationThermal Conductivity of Electric Molding Composites Filled with β-si 3 N 4
22 Ê 6  ŠVol. 22, No. 6 2007 11 à Journal of Inorganic Materials Nov., 2007 Ð ¹: 1000-324X(200706-1201-05 β-si 3 N 4 / ¾Ú Đ Â ÉÓÅÖ ¼» 1, ³ º 1, µ² 2, ¹ 3 (1. ÅƱ 100084; 2. 100081; 3. ««210016 Û«º β-si
More informationâ, Đ (Very Long Baseline Interferometry, VLBI)
½ 55 ½ 5 Í Vol.55 No.5 2014 9 ACTA ASTRONOMICA SINICA Sep., 2014» Á Çý è 1,2 1,2 å 1,2 Ü ô 1,2 ï 1,2 ï 1,2 à 1,3 Æ Ö 3 ý (1 Á Í 200030) (2 Á Í û À 210008) (3 541004) ÇÅè 1.5 GHz Á è, î Í, û ÓÆ Å ò ½Ò ¼ï.
More informationC o r p o r a t e l i f e i n A n c i e n t I n d i a e x p r e s s e d i t s e l f
C H A P T E R I G E N E S I S A N D GROWTH OF G U IL D S C o r p o r a t e l i f e i n A n c i e n t I n d i a e x p r e s s e d i t s e l f i n a v a r i e t y o f f o r m s - s o c i a l, r e l i g i
More informationSymbols and dingbats. A 41 Α a 61 α À K cb ➋ à esc. Á g e7 á esc. Â e e5 â. Ã L cc ➌ ã esc ~ Ä esc : ä esc : Å esc * å esc *
Note: Although every effort ws tken to get complete nd ccurte tble, the uhtor cn not be held responsible for ny errors. Vrious sources hd to be consulted nd MIF hd to be exmined to get s much informtion
More information! -., THIS PAGE DECLASSIFIED IAW EQ t Fr ra _ ce, _., I B T 1CC33ti3HI QI L '14 D? 0. l d! .; ' D. o.. r l y. - - PR Pi B nt 8, HZ5 0 QL
H PAGE DECAFED AW E0 2958 UAF HORCA UD & D m \ Z c PREMNAR D FGHER BOMBER ARC o v N C o m p R C DECEMBER 956 PREPARED B HE UAF HORCA DVO N HRO UGH HE COOPERAON O F HE HORCA DVON HEADQUARER UAREUR DEPARMEN
More informationÚ Bruguieres, A. Virelizier, A. [4] Á «Î µà Monoidal
40 2 Æ Vol.40, No.2 2011 4 ADVANCES IN MATHEMATICS April, 2011 273165) T- ÆÖ Ñ Ó 1,, 2 (1. È Ä È 832003; 2. È Ä È Ì. ½ A- (coring) T- (comonad) ( ± A º ¼ T º (monad)).» ³¹ (firm) µ ³ Frobenius ² ¾ ³ ¾
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 informationThe University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for
The University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for the quality of its teaching and research. Its mission
More informationPART IV LIVESTOCK, POULTRY AND FISH PRODUCTION
! " $#%(' ) PART IV LIVSTOCK, POULTRY AND FISH PRODUCTION Table (93) MAIN GROUPS OF ANIMAL PRODUCTS Production 1000 M.T Numbers 1000 Head Type 2012 Numbers Cattle 54164.5 53434.6 Buffaloes 4304.51 4292.51
More informationWinsome Winsome W Wins e ins e WUin ser some s Guide
Winsome Winsome Wins e Wins e U ser s Guide Winsome font faq HOW TO INSTALL YOUR FONT You will receive your files as a zipped folder. For instructions on how to unzip your folder, visit LauraWorthingtonType.com/faqs/.
More informationJuan Juan Salon. EH National Bank. Sandwich Shop Nail Design. OSKA Beverly. Chase Bank. Marina Rinaldi. Orogold. Mariposa.
( ) X é X é Q Ó / 8 ( ) Q / ( ) ( ) : ( ) : 44-3-8999 433 4 z 78-19 941, #115 Z 385-194 77-51 76-51 74-7777, 75-5 47-55 74-8141 74-5115 78-3344 73-3 14 81-4 86-784 78-33 551-888 j 48-4 61-35 z/ zz / 138
More informationRelation Between the Growth Twin and the Morphology of a Czochralski Silicon Single Crystal
Korean J. Crystallography Vol. 11, No. 4, pp.207~211, 2000 LG, Relation Between the Growth Twin and the Morphology of a Czochralski Silicon Single Crystal Bong Mo Park LG Siltron Inc., 283, Imsoo-dong,
More informationKlour Q» m i o r L l V I* , tr a d itim i rvpf tr.j UiC lin» tv'ilit* m in 's *** O.hi nf Iiir i * ii, B.lly Q t " '
/ # g < ) / h h #
More informationPort Vintage. Foundry: Onrepeat Types Website: Designer: João Oliveira INTRO PORT VINTAGE REGULAR
Port Vintage Foundry: Onrepeat Types Website: http://www.onrepeat.net Designer: João Oliveira Email: hi@onrepeat.net 2 3 63 115 131 139 INTRO PORT VINTAGE REGULAR PORT VINTAGE DECORATED PORT VINTAGE ORNAMENTS
More informationPrincipal Secretary to Government Haryana, Town & Country Planning Department, Haryana, Chandigarh.
1 From To Principal Secretary to Government Haryana, Town & Country Planning Department, Haryana, Chandigarh. The Director General, Town & Country Planning Department, Haryana, Chandigarh. Memo No. Misc-2339
More informationTable of C on t en t s Global Campus 21 in N umbe r s R e g ional Capac it y D e v e lopme nt in E-L e ar ning Structure a n d C o m p o n en ts R ea
G Blended L ea r ni ng P r o g r a m R eg i o na l C a p a c i t y D ev elo p m ent i n E -L ea r ni ng H R K C r o s s o r d e r u c a t i o n a n d v e l o p m e n t C o p e r a t i o n 3 0 6 0 7 0 5
More information2016 xó ADVANCES IN MATHEMATICS(CHINA) xxx., 2016
µ45 µx ½ Ù Vol.45, No.x 206 xó ADVANCES IN MATHEMATICS(CHINA) xxx., 206 doi: 0.845/sxjz.2050b ²Â» µ ¼ Ulam È ( Ų¼ Ò¼ Ã,,, 747000) : ÉÐ Ì Õ ÎÏÓ, ÊÔ Í - Í Ë 6f(x+y) 6f(x y)+4f(3y) = 3f(x+2y) 3f(x 2y)+9f(2y)
More informationRadiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications
KEKPH06 p.1/17 Radiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications Kentaro Kojima Based on the work with Kenzo Inoue and Koichi Yoshioka (Department of Physics,
More informationTHE ANALYSIS OF THE CONVECTIVE-CONDUCTIVE HEAT TRANSFER IN THE BUILDING CONSTRUCTIONS. Zbynek Svoboda
THE NLSIS OF THE CONECTIE-CONDUCTIE HET TRNSFER IN THE BUILDING CONSTRUCTIONS Zbynek Soboda Czech Technical Uniersity in Prague Faculty of Ciil Engineering 166 29 Prague 6 - Czech Republic BSTRCT The numerical
More information3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 REDCLIFF MUNICIPAL PLANNING COMMISSION FOR COMMENT/DISCUSSION DATE: TOPIC: April 27 th, 2018 Bylaw 1860/2018, proposed amendments to the Land Use Bylaw regarding cannabis
More informationVectors. Teaching Learning Point. Ç, where OP. l m n
Vectors 9 Teaching Learning Point l A quantity that has magnitude as well as direction is called is called a vector. l A directed line segment represents a vector and is denoted y AB Å or a Æ. l Position
More informationSOLAR MORTEC INDUSTRIES.
SOLAR MORTEC INDUSTRIES www.mortecindustries.com.au Wind Regions Region A Callytharra Springs Gascoyne Junction Green Head Kununurra Lord Howe Island Morawa Toowoomba Wittanoom Bourke Region B Adelaide
More informationMax. Input Power (W) Input Current (Arms) Dimming. Enclosure
Product Overview XI025100V036NM1M Input Voltage (Vac) Output Power (W) Output Voltage Range (V) Output urrent (A) Efficiency@ Max Load and 70 ase Max ase Temp. ( ) Input urrent (Arms) Max. Input Power
More informationÄ D C Ã F D {f n } F,
2016, 37A(2):233 242 DOI: 1016205/jcnkicama20160020 Í Æ ß È Õ Ä Ü È Ø Ó Đ * 1 2 3 Ð Ã µ½ ¹Ï ½» ÒÄà µ½ Í ÞÞ Ï Å ¹Ï µ½ MR (2010) Î 30D35, 30D45 Ð ÌÎ O17452 Ñ A ÛÁ 1000-8314(2016)02-0233-10 1 Ú Ö Ä D C Ã
More informationIUnderstanding who feeds on whom and how often is the basis for
Acting as Well Known Particle IUnderstanding who feeds on whom and how often is the basis for The vertebral Silence Sea Lion as Scientist Variations on a theme of how to build a body that was laid down
More informationLecture 11: Regression Methods I (Linear Regression)
Lecture 11: Regression Methods I (Linear Regression) Fall, 2017 1 / 40 Outline Linear Model Introduction 1 Regression: Supervised Learning with Continuous Responses 2 Linear Models and Multiple Linear
More informationH STO RY OF TH E SA NT
O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922
More informationSCOTT PLUMMER ASHTON ANTONETTI
2742 A E E E, UE, AAAMA 3802 231 EE AEA 38,000-cre dversfed federl cmus 41,000 emloyees wth 72+ dfferent gences UE roosed 80-cre mster-lnned develoment 20 home stes 3,000F of vllgestyle retl 100,000 E
More informationGeometric Predicates P r og r a m s need t o t es t r ela t ive p os it ions of p oint s b a s ed on t heir coor d ina t es. S im p le exa m p les ( i
Automatic Generation of SS tag ed Geometric PP red icates Aleksandar Nanevski, G u y B lello c h and R o b ert H arp er PSCICO project h ttp: / / w w w. cs. cm u. ed u / ~ ps ci co Geometric Predicates
More informationSm1ther AGENDA 1. CALL TO ORDER 3. ADJOURNMENT. Town of o
Sm1ther Twn COMMTTEE OF THE WHOLE COUNCL CHAMBERS, 1027 ALDOUS STREET TUESDAY, MARCH 10, 2009, AT 6:15 P.M. AGENDA 1. CALL TO ORDER 2 DELE ONS Bard Ventures Ltd. Mr. Rihard Bek, Gelgist, r Bard Ventures
More informationLecture 11: Regression Methods I (Linear Regression)
Lecture 11: Regression Methods I (Linear Regression) 1 / 43 Outline 1 Regression: Supervised Learning with Continuous Responses 2 Linear Models and Multiple Linear Regression Ordinary Least Squares Statistical
More informationTowards a numerical solution of the "1/2 vs. 3/2" puzzle
Towards a numerical solution of the /2 s 3/2 puzzle Benoît Blossier DESY Zeuthen Motiations Hea Quark Effectie Theor Theoretical expectations Experimental measurements umerical computation of Conclusion
More informationChapter 5 Solutions. Problem 5.1
Chapter 5 Solutions Problem 5. Since X = X X 2 X 3 takes on the values,,, with equal probability, it follows that P Xi () = P Xi () = /2, i =, 2, 3. Furthermore, P X X 2 () = P X X 2 () = P X X 2 () =
More informationFront-end. Organization of a Modern Compiler. Middle1. Middle2. Back-end. converted to control flow) Representation
register allocation instruction selection Code Low-level intermediate Representation Back-end Assembly array references converted into low level operations, loops converted to control flow Middle2 Low-level
More informationGlasgow eprints Service
Kalna, K. and Asenov, A. (1) Multiple delta doping in aggressively scaled PHEMTs. In, Ryssel, H. and Wachutka, G. and Grunbacher, H., Eds. Solid-State Device Research Conference, 11-13 September 1, pages
More informationLoop parallelization using compiler analysis
Loop parallelization using compiler analysis Which of these loops is parallel? How can we determine this automatically using compiler analysis? Organization of a Modern Compiler Source Program Front-end
More informationComplex Analysis. PH 503 Course TM. Charudatt Kadolkar Indian Institute of Technology, Guwahati
Complex Analysis PH 503 Course TM Charudatt Kadolkar Indian Institute of Technology, Guwahati ii Copyright 2000 by Charudatt Kadolkar Preface Preface Head These notes were prepared during the lectures
More informationLe classeur à tampons
Le classeur à tampons P a s à pa s Le matériel 1 gr a n d cla s s e u r 3 pa pi e r s co o r d o n n é s. P o u r le m o d è l e pr é s e n t é P a p i e r ble u D ai s y D s, pa pi e r bor d e a u x,
More informationChair Susan Pilkington called the meeting to order.
PGE PRK D RECREO DVOR COMMEE REGUR MEEG MUE MOD, JU, Ru M h P P d R d Cmm hd : m Ju,, h Cu Chmb C H P, z Ch u P dd, Mmb B C, Gm Cu D W Bd mmb b: m D, d Md z ud mmb : C M, J C P Cmmu Dm D, Km Jh Pub W M,
More informationRedoing the Foundations of Decision Theory
Redoing the Foundations of Decision Theory Joe Halpern Cornell University Joint work with Larry Blume and David Easley Economics Cornell Redoing the Foundations of Decision Theory p. 1/21 Decision Making:
More informationt t t ér t rs r t ét q s
rés té t rs té s é té r t q r r ss r t t t ér t rs r t ét q s s t t t r2 sé t Pr ss r rs té P r s 2 t Pr ss r rs té r t r r ss s Pr ss r rs té P r q r Pr ss r t r t r r t r r Prés t r2 r t 2s Pr ss r rs
More informationI N A C O M P L E X W O R L D
IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e
More informationDEVELOPMENT SITES FOR SALE
DISEY/UIVERS/SE WORD RE DESRIPTIO truly one-of-a-kind property in the heart of the tourist area in Orlando, Florida. This development opportunity is uniquely positioned between Disney World, Universal,
More informationADVANCES IN MATHEMATICS(CHINA)
Æ Ý ¹ ADVANCES IN MATHEMATICS(CHINA) 0 median Đ Ó ( ºÕ ³,, ÓÚ, 330013) doi: 10.11845/sxjz.2012080b : u,v ¹ w G, z ÁÇÉ Ë½ ±, È z À u,v ¹ w Ä median. G À²Ï median, G Î Å Ì ÆÄ median. à ²Ï median µ» ÂÍ, ¾
More informationFinal exam: Automatic Control II (Reglerteknik II, 1TT495)
Uppsala University Department of Information Technology Systems and Control Professor Torsten Söderström Final exam: Automatic Control II (Reglerteknik II, TT495) Date: October 22, 2 Responsible examiner:
More informationAPPH 4200 Physics of Fluids
APPH 42 Physics of Fluids Problem Solving and Vorticity (Ch. 5) 1.!! Quick Review 2.! Vorticity 3.! Kelvin s Theorem 4.! Examples 1 How to solve fluid problems? (Like those in textbook) Ç"Tt=l I $T1P#(
More information. ffflffluary 7, 1855.
x B B - Y 8 B > ) - ( vv B ( v v v (B/ x< / Y 8 8 > [ x v 6 ) > ( - ) - x ( < v x { > v v q < 8 - - - 4 B ( v - / v x [ - - B v B --------- v v ( v < v v v q B v B B v?8 Y X $ v x B ( B B B B ) ( - v -
More informationEKOLOGIE EN SYSTEMATIEK. T h is p a p e r n o t to be c i t e d w ith o u t p r i o r r e f e r e n c e to th e a u th o r. PRIMARY PRODUCTIVITY.
EKOLOGIE EN SYSTEMATIEK Ç.I.P.S. MATHEMATICAL MODEL OF THE POLLUTION IN NORT H SEA. TECHNICAL REPORT 1971/O : B i o l. I T h is p a p e r n o t to be c i t e d w ith o u t p r i o r r e f e r e n c e to
More informationThe evaluation of P, and T from these formulae indeed requires that the energy E be expressed as a function of the quantities N, V and S.
d dq, dq d d d, d d d d, e evlutio of, d from tese formule ideed requires tt te eerg be epressed s fuctio of te qutities, d. f (,,) is sould, i priciple, be possible oce is kow s fuctio of, d. f (,, )
More informationA Study on Dental Health Awareness of High School Students
Journal of Dental Hygiene Science Vol. 3, No. 1,. 23~ 31 (2003), 1 Su-Min Yoo and Geum-Sun Ahn 1 Deartment of Dental Hygiene, Dong-u College 1 Deartment of Dental Hygiene, Kyung Bok College In this research,
More informationSynopsis of Numerical Linear Algebra
Synopsis of Numerical Linear Algebra Eric de Sturler Department of Mathematics, Virginia Tech sturler@vt.edu http://www.math.vt.edu/people/sturler Iterative Methods for Linear Systems: Basics to Research
More informationPharmacological and genomic profiling identifies NF-κB targeted treatment strategies for mantle cell lymphoma
CORRECTION NOTICE Nat. Med. 0, 87 9 (014) Pharmacoogica and genomic profiing identifies NF-κB targeted treatment strategies for mante ce ymphoma Rami Raha, Mareie Fric, Rodrigo Romero, Joshua M Korn, Robert
More informationI n t e r ku l t ú r n a ko mu n i ká c i a na hodine anglické h o jazyka. p r ostrední c tvom použitia PC
I n t e r ku l t ú r n a ko mu n i ká c i a na hodine anglické h o jazyka p r ostrední c tvom použitia PC P e t r a J e s e n s k á A n o t á c i a V p r í s p e v k u j e r o z p r a c o v a n é š p e
More informationSubrings and Ideals 2.1 INTRODUCTION 2.2 SUBRING
Subrings and Ideals Chapter 2 2.1 INTRODUCTION In this chapter, we discuss, subrings, sub fields. Ideals and quotient ring. We begin our study by defining a subring. If (R, +, ) is a ring and S is a non-empty
More informationPeriodic monopoles and difference modules
Periodic monopoles and difference modules Takuro Mochizuki RIMS, Kyoto University 2018 February Introduction In complex geometry it is interesting to obtain a correspondence between objects in differential
More information