A s device signals an interrupt. time-> time T. A s device. starts device. starts device. A s ISR. WAIT/block. Process A. interrupt.
|
|
- Victor Manning
- 5 years ago
- Views:
Transcription
1 /1 /1 BAA F 67 :; - -, - % 67 :; = : J 3KJ AA L A s dvic signas an intrrut A s dvic tim T tim-> A s starts dvic starts dvic rocss A AT/bock rocss B AT/bock intrrut B s starts dvic B s dvic B s dvic signas an intrrut dvic busy cod xcuting on a rocssor D H
2 /1 /1 N Q F F 67 :; = : J 3KJ AA _ ZY ]\ % % U V N Q T N N D M 67 :; = : J 3KJ AA d rocss A anvntat or ATanvnt howvr rogrammd rocss v continus running aftr ossib day immntationof-rocsss v routin/mthod to immnt ATanvnt rocss A s dscritor rady or bockd routin/mthod to immnt NALanvnt vnts awaitd vnts waiting from intrrut srvic NT: asynchronous/intrrut-drivn ` a,b ac H
3 ` a,b ac F M N Y ]\ fg h fg h % Y \ Y ]\ N Y \ i j i h k % /1 67 :; = : J 3KJ AA m ` a,b ac F T j g i N g % N fg h N fg h N fg h N U j gj N h n o o n T ij i N g V T T gj N - T j j % % /1 67 :; = : J 3KJ AA q
4 r sut c usr v orating systm / rqust systm ca aication rogram anguag runtim systm and ibrary routins / contro systm ca anguag s / intrfac this v must b rvntd from rogramming dvics dircty / is don by rqusting srvic via systm cas anguag-indndnt / intrfac dvic-indndnt: scts scific / srvic rquird % s t 67 :; = : 67 :; = : J 3K J wa x J 3K J wa A /1 /1 v y {z r t aication rocss rqust aication runtim/ ibrary systm ca / contro buffr ara for a dvic ty usr v orating systm % orations to accss data buffrs data buffrs dvic handr rocss buffr accss dvic handr intrrut srvic routin orating systm hardwar dvic vnt
5 /1 ; > 3< K<KK<: /1 ; > 3< K<KK<: wwa } ~ Š Š ~ ~Š Š ~ t F 67 :; JŽ < Q VN U ƒ } Œ U % } ˆ Š ~ } }~ } ƒ } ~ ~ y {z 67 :; JŽ < wa 6 a squntia rogramming anguag b concurrnt rogramming anguag no suort usr thrads ony addrss sac addrss sac addrss sac addrss sac on rogram on rocss runtim systm on rogram on rocss runtim systm on rogram many rocsss runtim systm on rogram many rocsss usr thrads usr thrads runtim systm krn thrads krn thrads /krn /krn c concurrnt rogramming anguag krn thrads for usr thrads addrss sac addrss sac on rogram many rocsss on rogram many rocsss usr thrads usr thrads runtim systm krn thrads runtim systm /krn
6 67 :; ; JŽ > 3< < K <KK< : 67 :; ; JŽ > 3< < K <KK< : B wa wa L /1 F /1 F b b addrss sac on rogram many rocsss usr thrads runtim systm b concurrnt rogramming anguag no suort usr thrads ony addrss sac on rogram many rocsss usr thrads runtim systm c concurrnt rogramming anguag krn thrads for usr thrads krn thrads addrss sac of rocss addrss sac of rocss A B A B usr thrads runtim systm usr thrad data usr thrads usr-thrad immntation utid = crat ki utid wait utid signa utid schdu usr thrad orations runtim systm usr thrad data usr-thrad immntation ktid = crat ki ktid wait ktid signa ktid usr thrad orations on krn-thrad r usr-thrad on krn-thrad or rocss /krn /krn ktid = crat cas : crat-thrad ki ktid cas : ki-thrad ktid wait ktid may ca : bock-thrad ktid signa ktid may ca : unbock-thrad ktid th carris out thrad schduing
7 F % % % % Q VN % g h /1 67 :; ; > JŽ 3< < K<KK<: wa _ F F % % /1 67 :; < <Ž 7KK<: ; J 3:J wa d
8 /1 < /1 < Ÿ ª Ÿ o š 67 :; wa m A B rocsss A and B contain this shard data - cod which rads or writs critica rgions s shard data not: 1 s ndd ony if som rocss writs vry is associatd with som scific shard data A B ntry rotoco tst fag if shard data is busy, tst again busy-wait if fr st to busy and ntr fag:fr/busy ntry rotoco tst fag if shard data is busy, tst again busy-wait if fr st to busy and ntr shard data xit rotoco st fag to fr xit rotoco st fag to fr 67 :; wa q ª«% œ ž œ ž T j % o g n r D b b
9 y F ± ² ` z H ³ µ % % i i - Ÿ %, ¹ % v /1 67 :; < 7 A x6 c F Ÿ Ÿ º» g %»» % ½¼ ¾ À Á «Ã º % Q ½¼ ¾ À Á «Ã % ½¼ ¾ À Á «Ã Ÿ % i ½¼ ¾ À Á «Ã Ÿ % i» /1 67 :; < 7 6A A
10 /1 < 6w A /1 < F 67 :; am 1 concurrnt rocsss: sriaisation of critica rgions A B B B, amsmait amsmait amsmait amsmigna amsmigna 1 amsmigna Ä { 67 :; wait bfor signa am A B A amsmait amsmigna am signa bfor wait A B 1 amsmigna amsmait a b Å A 66
11 /1 < 6B A /1 < ~ } Š ~ Æ Š ~ F F r 67 :; addrss sac of rocss A usr thrads B xsmsmait xsmsmigna xsmsmait aication runtim systm usr-thrad immntation xsmsmait xsmsmigna xsm A, usr thrad data immntation of wait and signa on smahor objcts usr sac /krn Atid on krn-thrad r usr-thrad Btid tid ktid = crat cas : crat-thrad ki ktid cas : ki-thrad ktid xmsmait by Atid may ca : bock-thrad Atid xmsmigna by Btid may ca : unbock-thrad Atid th carris out thrad schduing r c H 67 :; A L6 % Ç œ % c M
12 È b 67 :; < 67 :; < = A _ 6 = A 6d /1 H F È b É /1 F É M roducr roduc an itm is thr sac in th buffr? insrt itm outtr consumr is thr an itm in th buffr? rmov itm consum itm now assum many roducrs and many consumrs for simicity, us on smahor to nsur mutuay xcusiv accss to th buffr by a rocsss on of th roducrs and on of th consumrs coud accss togthr - w do not show this intr = otntia day us anothr smahor: guard, initiay 1 buffr fr first assum on roducr and on consumr smahors:itms, initiay itms in buffr sacs initiay N sacs in buffr roducr roduc an itm sacssmait insrt itm itmssmigna intr outtr = otntia day consumr itmssmait rmov itm sacssmigna consum itm roducr roduc an itm sacssmait guardsmait insrt itm guardsmigna itmssmigna intr outtr = otntia day consumr itmssmait guardsmait rmov itm guardsmigna sacssmigna consum itm this is rogramming: mutua xcusion condition synchronisation this is rogramming condition synchronisation
13 /1 < /1 < F Muti radrs, sing writr concurrncy contro Many radrs may rad simutanousy, a writr must hav xcusiv accss Assum writrs hav riority ar is th count of activ radrs rr is th count of rading radrs aw is th count of activ writrs ww is th count of writing writrs but thy must tak turns to writ on-at-a-tim radrs cod writrs cod bcom activ radr ar = ar1 if no activ writrs thn rocd to rad rr = rr1 s dfr to writrs await aw = bcom activ writr aw = aw1 if no rading radrs thn rocd to writ ww = ww1 s await no radrs rr = AD caim turn to writ T ras caim ar = ar-1 rr = rr-1 if rr = thn wak u waiting writrs xit aw = aw-1 ww = ww-1 if aw = thn wak u waiting radrs xit mutua xcusion to accss shard counts condition synchronisation 67 :; A m6 67 :; A q6 % Ç % % y b
14 67 :; < 67 :; 3 =K K < ;K :; < = BA x BA A /1 /1 H r Java concurrncy contro constructs YNHND mthods of an objct xcut undr MUTUAL LUN with rsct to a synchronisd mthods of th objct rocss s addrss sac cross addrss-sac g is mssag-assing rocss s addrss sac AT data usr thrad usr thrad NTFY ALL shard data krn thrads mutua xcusion to accss shard counts condition synchronisation immntation: a smahor r objct usr sac : in vry rocss addrss sac shard-mmory usr sac NDTN YNHNATN not vry good AT bock, ras xcusion on objct NTFY immntation frs an arbitrary thrad NTFY ALL immntation frs a thrads first to b schdud gts in thy MUT rtst th AT condition
15 r M % - - % /1 67 :; 7Ê J ; K < < = wba F š,b š H i N - N % Q % addrss sac /krn A B mssnd B, mssait?, routin to immnt mssnd usr sac addrss sac routin to immnt mssait rocss A s mssag quu rocss B s mssag quu B arady waiting B not waiting = otntia day /1 67 :; 7Ê J ; K < < = BA 6
16 F š š M v Y \ % addrss sac cint rocss mssnd, = otntia day mssait, addrss sac srvr rocss mssait?, mssnd, cross-addss-sac mssag-assing with buffring as rquird /1 67 :; 7Ê J ; K < < = BBA F Ë v Ì ÏÎÍ ÑÎÐ Í Ñ ÓÒ Î ÑÒ ÔÒ ÒÓ N Ô ÕÐÒ Í Ï Ð Ö Ó Ô ÎÐÍÒ Ò Ô ÑÎ ÏÔ ÎÐÍÒ % Ø /1 67 :; Ù :3K3 J K BA L
17 g Ú Ó ÚÔ ÏÐÛ Ü A B amsmait bmsmait bmsmait for bm amsmait for am /1 67 :; Ù :3K3 J K BA _ F Ý r ± Å c Y ]\ N i v i % Ï ÏÎÐ Þ Ó ÏÎ ß Ï ÑÔ ÑÓà /1 67 :; Ù :3K3 J K BA d
18 y c % - /1 67 :; ; =á 6 BA m
Framework 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 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 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 informationAn 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 informationOptimization of a parallel 3d-FFT with non-blocking collective operations
Optimization of a parallel 3d-FFT with non-blocking collective operations Chair of Computer Architecture Technical University of Chemnitz Département de Physique Théorique et Appliquée Commissariat à l
More informationAdvanced Use of Pointers. CS2023 Winter 2004
Advancd Us f Pintrs CS2023 Wintr 2004 Outcms: Advancd us f Pintrs C fr Java Prgrammrs, Chaptr 8, sctin 8.11, 8.15 Othr txtbks n C n rsrv Aftr th cnclusin f this sctin yu shuld b abl t Allcat and dallcat
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 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 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 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 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 informationRandom Access Techniques: ALOHA (cont.)
Random Accss Tchniqus: ALOHA (cont.) 1 Exampl [ Aloha avoiding collision ] A pur ALOHA ntwork transmits a 200-bit fram on a shard channl Of 200 kbps at tim. What is th rquirmnt to mak this fram collision
More informationObtain from theory/experiment a value for the absorbtion cross-section. Calculate the number of atoms/ions/molecules giving rise to the line.
Line Emission Observations of spectral lines offer the possibility of determining a wealth of information about an astronomical source. A usual plan of attack is :- Identify the line. Obtain from theory/experiment
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 informationA Functional Quantum Programming Language
A Functional Quantum Programming Language Thorsten Altenkirch University of Nottingham based on joint work with Jonathan Grattage and discussions with V.P. Belavkin supported by EPSRC grant GR/S30818/01
More information4.3 Laplace Transform in Linear System Analysis
4.3 Laplace Transform in Linear System Analysis The main goal in analysis of any dynamic system is to find its response to a given input. The system response in general has two components: zero-state response
More informationHarlean. User s Guide
Harlean User s Guide 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/. Your font is available
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 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 informationB œ c " " ã B œ c 8 8. such that substituting these values for the B 3 's will make all the equations true
System of Linear Equations variables Ð unknowns Ñ B" ß B# ß ÞÞÞ ß B8 Æ Æ Æ + B + B ÞÞÞ + B œ, "" " "# # "8 8 " + B + B ÞÞÞ + B œ, #" " ## # #8 8 # ã + B + B ÞÞÞ + B œ, 3" " 3# # 38 8 3 ã + 7" B" + 7# B#
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 informationPh.D. students Department of Electronics and Telecommunications, Politecnico di Torino
01OPIIU Il softwar libro Dvic-to-dvic communications: Wi-Fi Dirct Laura Cocona s189195 Carlo Borgiattino s189149 Ph.D. studnts Dpartmnt of Elctronics and Tlcommunications, Politcnico di Torino Rport for
More informationConstructive Decision Theory
Constructive Decision Theory Joe Halpern Cornell University Joint work with Larry Blume and David Easley Economics Cornell Constructive Decision Theory p. 1/2 Savage s Approach Savage s approach to decision
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 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 informationELEG-636: Statistical Signal Processing
ELEG-636: Statistical Signal Processing Gonzalo R. Arce Department of Electrical and Computer Engineering University of Delaware Spring 2010 Gonzalo R. Arce (ECE, Univ. of Delaware) ELEG-636: Statistical
More informationNew BaBar Results on Rare Leptonic B Decays
New BaBar Results on Rare Leptonic B Decays Valerie Halyo Stanford Linear Accelerator Center (SLAC) FPCP 22 valerieh@slac.stanford.edu 1 Table of Contents Motivation to look for and Analysis Strategy Measurement
More informationContinuing Education and Workforce Training Course Schedule Winter / Spring 2010
Continuing Education and Workforce Training Course Schedule Winter / Spring 2010 www.southeastmn.edu/training Creating the Solution that Fits! Information Information Registration Registration via our
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 informationFebruary 17, 2015 REQUEST FOR PROPOSALS. For Columbus Metropolitan Library. Issued by: Purchasing Division 96 S. Grant Ave. Columbus, OH 43215
F 7, 05 RQU FOR PROPOL P/B & O RFP L 5-006 F L : P D 96 G, OH 435 D : 3, 05 N :00 N (, O L ) W D, P P D, F D : (64) 849-034; F: (64) 849-34 @ RQU FOR PROPOL NRUON L ( L L ) R P ( RFP ) P B P N L 5-006
More informationConnection equations with stream variables are generated in a model when using the # $ % () operator or the & ' %
7 9 9 7 The two basic variable types in a connector potential (or across) variable and flow (or through) variable are not sufficient to describe in a numerically sound way the bi-directional flow of matter
More information1. Allstate Group Critical Illness Claim Form: When filing Critical Illness claim, please be sure to include the following:
Dear Policyholder, Per your recent request, enclosed you will find the following forms: 1. Allstate Group Critical Illness Claim Form: When filing Critical Illness claim, please be sure to include the
More informationNew method for solving nonlinear sum of ratios problem based on simplicial bisection
V Ù â ð f 33 3 Vol33, No3 2013 3 Systems Engineering Theory & Practice Mar, 2013 : 1000-6788(2013)03-0742-06 : O2112!"#$%&')(*)+),-))/0)1)23)45 : A 687:9 1, ;:= 2 (1?@ACBEDCFHCFEIJKLCFFM, NCO 453007;
More informationSymbols and dingbats. A 41 Α a 61 α À K cb ➋ à esc. Á g e7 á esc. Â e e5 â. Ã L cc ➌ ã esc ~ Ä esc : ä esc : Å esc * å esc *
Note: Although every effort ws tken to get complete nd ccurte tble, the uhtor cn not be held responsible for ny errors. Vrious sources hd to be consulted nd MIF hd to be exmined to get s much informtion
More informationPhysical Organization
Lctur usbasd symmtric multiprocssors (SM s): combin both aspcts Compilr support? rchitctural support? Static and dynamic locality of rfrnc ar critical for high prformanc M I M ccss to local mmory is usually
More information1. Installing ActiveSync Downloading Files 36
Z Q 0 / ]. ] 0 0 0 0 Q / Q ^ 1 Q ] 0 ^ 0 YYYY QQQQ P P P P... aaaa H H n k p d d d d 0 0 0 0.... ++++ ) ) ) ) """### 1 )- W, V$, R $ 0, / U T /. 0R #,SR 0 $ Q / P 1 - - Q, Y Q, R Q / R -. 0R S\ / $ [ 1
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 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 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 informationA Theory of Universal AI
A Theory of Universa AI Literature Marcus Hutter Kircherr, Li, and Vitanyi Presenter Prashant J. Doshi CS594: Optima Decision Maing A Theory of Universa Artificia Inteigence p.1/18 Roadmap Caim Bacground
More informationRarefied Gas FlowThroughan Orifice at Finite Pressure Ratio
Rarefied Gas FlowThroughan Orifice at Finite Pressure Ratio Felix Sharipov Departamento de Física, Universidade Federal do Paraná Caixa Postal 90, 85-990 Curitiba, Brazil Email: sharipov@fisica.ufpr.br;
More informationMARKET AREA UPDATE Report as of: 1Q 2Q 3Q 4Q
Year: 2013 Market Area (Cit, State): Greater Portland, OR MARKET AREA UPDATE Report as of: 1Q 2Q 3Q 4Q Provided b (Compan / Companies): Coldwell Banker Seal, Archibald Relocation, Prudential Northwest
More informationAN IDENTIFICATION ALGORITHM FOR ARMAX SYSTEMS
AN IDENTIFICATION ALGORITHM FOR ARMAX SYSTEMS First the X, then the AR, finally the MA Jan C. Willems, K.U. Leuven Workshop on Observation and Estimation Ben Gurion University, July 3, 2004 p./2 Joint
More informationSearch for MSSM Higgs at LEP. Haijun Yang. University of Michigan, Ann Arbor
Search for MSSM Higgs at LEP Haijun Yang University of Michigan, Ann Arbor Physics Seminar at Univ. of Michigan February 4, 2002 Introduction of MSSM UTLINE L Main Backgrounds L Analysis Procedure LEP
More informationSome emission processes are intrinsically polarised e.g. synchrotron radiation.
Polarisation Some emission processes are intrinsically polarised e.g. synchrotron radiation. B e linearly polarised emission circularly polarised emission Scattering processes can either increase or decrease
More informationnd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1).
Eamn EDO. Givn th family of curvs y + C nd th particular orthogonal trajctory from th family of orthogonal trajctoris passing through point (0; ). Solution: In th rst plac, lt us calculat th di rntial
More informationISO/IEC JTC1/SC2/WG2 N2
ISO/IEC JTC1/SC2/WG2 N2 2000-04-13 Universal Multiple-Octet Coded Character Set International Organization for Standardization Organisation Internationale de Normalisation Œåæäóíàðîäíàß îðãàíèçàöèß ïî
More informationEmefcy Group Limited (ASX : EMC) ASX Appendix 4D Half Year Report and Interim Financial Statements for the six months ended 30 June 2016
Emefcy Group Limited (ASX EMC) ASX Appendix D Half Year Report and Interim Financial Statements for the six months ended June 6 Melbourne Australia and Caesarea Israel 6 August 6 he Company s ASX Appendix
More informationEd S MArket. NarROW } ] T O P [ { U S E R S G U I D E. urrrrrrrrrrrv
Ed S MArket NarROW Q urrrrrrrrrrrv } ] T O P [ { U S E R S G U I D E QUALITY U op e nt y p e fa q: For information on how to access the swashes and alternates, visit LauraWorthingtonType.com/faqs All operating
More informationThe Application of Phase Type Distributions for Modelling Queuing Systems
Th Alication of Phas Ty Distributions for Modlling Quuing Systms Eimutis VAAKEVICIUS Dartmnt of Mathmatical Rsarch in Systms Kaunas Univrsity of Tchnology Kaunas, T - 568, ithuania ABSTRACT Quuing modls
More information1. CALL TO ORDER 2. ROLL CALL 3. PLEDGE OF ALLEGIANCE 4. ORAL COMMUNICATIONS (NON-ACTION ITEM) 5. APPROVAL OF AGENDA 6. EWA SEJPA INTEGRATION PROPOSAL
SPECIAL MEETING AGENDA SAN ELIJO JOINT POWERS AUTHORITY (SEJPA) TUESDAY JULY 12, 2016 AT 8:30 AM ENCINA WATER POLLUTION CONTROL FACILITY (EWA) BOARD MEETING ROOM 6200 AVENIDA ENCINAS CARLSBAD, CALIFORNIA
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 informationThe Effect of Temperature and Space Velocity on the Performance of Plate Reformer for Molten Carbonate Fuel Cell
HWAHAK KONGHAK Vol. 38, No. 5, October, 2000, pp. 719-724 (Journal of the Korean Institute of Chemical Engineers) (1999 5 31, 2000 8 1 ) The Effect of Temperature and Space Velocity on the Performance
More informationAssociation (Part II)
Association (Part II) nanopoulos@ismll.d Outlin Improving Apriori (FP Growth, ECLAT) Qustioning confidnc masur Qustioning support masur 2 1 FP growth Algorithm Us a comprssd rprsntation of th dtb databas
More informationResearch of Application the Virtual Reality Technology in Chemistry Education
Journal of the Korean Chemical Society Printed in the Republic of Korea * (2002. 8. 29 ) Research of Application the Virtual Reality Technology in Chemistry Education Jong Seok Park*, Kew Cheol Shim, Hyun
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 information: œ Ö: =? À =ß> real numbers. œ the previous plane with each point translated by : Ðfor example,! is translated to :)
â SpanÖ?ß@ œ Ö =? > @ À =ß> real numbers : SpanÖ?ß@ œ Ö: =? > @ À =ß> real numbers œ the previous plane with each point translated by : Ðfor example, is translated to :) á In general: Adding a vector :
More informationLeast Favorable Distributions to Facilitate the Design of Detection Systems with Sensors at Deterministic Locations
Last Favorabl Distributions to Facilitat th Dsign o Dtction Systms with Snsors at Dtrministic Locations Bndito J. B. Fonsca Jr. Sptmbr 204 2 Motivation Rgion o intrst (city, park, stadium 3 Motivation
More informationImplicit in the definition of orthogonal arrays is a projection propertyþ
Projection properties Implicit in the definition of orthogonal arrays is a projection propertyþ factor screening effect ( factor) sparsity A design is said to be of projectivity : if in every subset of
More informationOff-target deviation degree method for grey multi-attribute group decision-making
" m s G T è ) Ü ] è 34 3 ol34 No3 04 3 Systms Engnrng Thory & Practc Mar 04 : 000-6788(04)03-0787-06 : N945!"#$%&')()*+) : A -/0 /34 (56789;:?;@BA7C;:D EF 3008) HJILKNMPOLQLRLSUTQLRLWNXPYLZL[L\LWNXP]LN_L`PaLbNcPdLZL[NPf
More informationAnalysis of Algorithms - Elementary graphs algorithms -
Analysis of Algorithms - Elmntary graphs algorithms - Anras Ermahl MRTC (Mälaralns Ral-Tim Rsach Cntr) anras.rmahl@mh.s Autumn 00 Graphs Graphs ar important mathmatical ntitis in computr scinc an nginring
More informationCairns Hospital: Suspected Acute Coronary Syndrome Pathways. DO NOT USE if a non cardiac cause for the chest pain can be diagnosed
Cairns Hospital: Suspected Acute Coronary Syndrome Pathways DO NOT USE if a non cardiac cause for the chest pain can be diagnosed Clinical pathways never replace clinical judgement. Care outlined on this
More informationBUY A CRUSH FOR YOUR CRUSH! Crush flavors will vary.
BUY A CRUSH FOR YOUR CRUSH! Crush flavors will vary. Family Name: From Deliver To Grade Cost TOTAL ! " # $ % & ' ( ) * +, # $ " - $ + $. / ( 0 1 &. / " - $ + $. / 2 3 0 4 +, # $ ( 2-0 5 0 1 & ( ' - $ +
More information8œ! This theorem is justified by repeating the process developed for a Taylor polynomial an infinite number of times.
Taylor and Maclaurin Series We can use the same process we used to find a Taylor or Maclaurin polynomial to find a power series for a particular function as long as the function has infinitely many derivatives.
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 informationTesting SUSY Dark Matter
Testing SUSY Dark Matter Wi de Boer, Markus Horn, Christian Sander Institut für Experientelle Kernphysik Universität Karlsruhe Wi.de.Boer@cern.ch http://hoe.cern.ch/ deboerw SPACE Part Elba, May 7, CMSSM
More informationHigher order derivatives
Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of
More informationA Beamforming Method for Blind Calibration of Time-Interleaved A/D Converters
A Beamforming Method for Blind Calibration of Time-nterleaved A/D Converters Bernard C. Levy University of California, Davis Joint wor with Steve Huang September 30, 200 Outline 1 Motivation Problem Formulation
More informationSECTION A - EMPLOYEE DETAILS Termination date Employee number Contract/ Department SECTION C - STANDARD DOCUMENTS REQUIRED FOR ALL TERMINATIONS
UNITRANS SA TERMINATION CHECKLIST NOTES: 1. This form applies to all terminations and needs to be submitted along with the required supplementary documentation to the HR Department within the following
More informationAnalysis of Algorithms - Elementary graphs algorithms -
Analysis of Algorithms - Elmntary graphs algorithms - Anras Ermahl MRTC (Mälaralns Ral-Tim Rsarch Cntr) anras.rmahl@mh.s Autumn 004 Graphs Graphs ar important mathmatical ntitis in computr scinc an nginring
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 informationLEAD IN DRINKING WATER REPORT
181 US Hwy 46 Mine Hill, NJ 07803 (908) 654-8068 (800) 783-0567 Fax 908-654-8069 LEAD IN DRINKING WATER REPORT Performed At: Montrose School 356 Clark St., South Orange, NJ 07079 Performed For: South Orange
More information6. Convert 5021 centimeters to kilometers. 7. How many seconds are in a leap year? 8. Convert the speed 5.30 m/s to km/h.
% " ' ) 2 3 1 2 3 + + 4 2 3 L L CHAPTER A Physics Toolkit Practice Problems Mathematics and Physics pages page 5 For each problem, give the rewritten equation you would use and the answer. 1. A lightbulb
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 informationA simple two-dimensional cell transmission model: A dynamic representation of traffic at multiphase signals
Ø ï o 5 Vol5 o 05 Systms Enginring Thory & Practic Jan 05 : 000-788(05)0-050-0 : U9 : A!"$#%!&')(*)+)-))/0))) 5798 : ; = ( >??@ACBEDFGHCBI >? 00; >?JLMACBPQRDFCBI >? 00) S T UWVYXYYY\Y]Y^YaẀbYcYdYYfYgahWiYjYkYlnmpoYqarWsatYuWvYaxYyWzY{YY}YY
More informationDamping Ring Requirements for 3 TeV CLIC
Damping Ring Requirements for 3 TeV CLIC Quantity Symbol Value Bunch population N b 9 4.1 10 No. of bunches/train k bt 154 Repetition frequency f r 100 Hz Horizontal emittance γε x 7 4.5 10 m Vertical
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 informationOptimizing Stresses for Testing DRAM Cell Defects Using Electrical Simulation
Optimizing Stresses for Testing RAM Cell efects Using Electrical Simulation Zaid Al-Ars Ad J. van de Goor Faculty of Information Technology and Systems Section of Computer Engineering elft University of
More informationQueues, Stack Modules, and Abstract Data Types. CS2023 Winter 2004
Queues Stack Modules and Abstact Data Types CS2023 Wnte 2004 Outcomes: Queues Stack Modules and Abstact Data Types C fo Java Pogammes Chapte 11 (11.5) and C Pogammng - a Moden Appoach Chapte 19 Afte the
More informationPROGRAM DEVELOPMENTS FOR MODELING GROUNDWATER FLOW IN THREE-DIMENSIONAL HETEROGENEOUS AQUIFERS WITH MODFLOW AND MODFLOWP
PROGRAM DEVELOPMENTS FOR MODELING GROUNDWATER FLOW IN THREE-DIMENSIONAL HETEROGENEOUS AQUIFERS WITH MODFLOW AND MODFLOWP Kangle Huang, Tom Clemo, and Warren Barrash Center for Geophysical Investigation
More informationa 1and x is any real number.
Calcls Nots Eponnts an Logarithms Eponntial Fnction: Has th form y a, whr a 0, a an is any ral nmbr. Graph y, Graph y ln y y Th Natral Bas (Elr s nmbr): An irrational nmbr, symboliz by th lttr, appars
More information` _ Z n k qi o w zy r o w zy ƒ Z w w n Œ Œ Z w j n o i s p ˆi o w k i w ji Z o i ˆi k ˆi q k i ji ˆi o w j q i k i V U B C DB D B Y H Prob Statnt u o
( ' % > % * * 9. + 7 7 7 Annua MURI riw, Octobr 0, 00 Nots on Scaabiity o W ir ss A d oc Ntw or k s Zyunt J. Haas W i r ss N tw o r k s L ab o r ato r y S c o o o C C o r n U ni r si ty I t ac a, N Y 1
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 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 informationS T A T E B U D G E T : T A X A M E N D M E N T S
i T A X I N F O R M ATION N. 1 J a n u a r y 2 0 1 3 2 0 1 3 S T A T E B U D G E T : T A X A M E N D M E N T S I. I N T R O D U C T I O N................................... 2 I I. P E R S O N A L I N C
More information