Ruminate: A Scalable Architecture for Deep Network Analysis

Size: px
Start display at page:

Download "Ruminate: A Scalable Architecture for Deep Network Analysis"

Transcription

1 D S G M U T R U D MS# F, V - US ://../ -- R: S D N T R GMU-S-TR-- T, N I D S (NIDS). W, NIDS. U, NIDS, SMTP/MIME HTTP. I, (.., PDF, F ) NIDS. T, R, -. R. T. W NIDS, R,. T,. F,. T, -. W -. T. U, R NIDS,,. I N- []. I,, ( PDF M O), ( F Q), (I E F). S [, ]. I,,. T -, P T (PT) [],. M. N I D S (NIDS) [,,, ],,. H, -. E,,. E -,. F, MIME HTTP.

2 . F,. T. T,. T NIDS. I, R,. R. T /.,. -,. F, TP, HTTP SMTP/MIME. P (.., PDF, ZIP ). T,. R. F, ZIP JPEG, PDF,. R,, -. R NIDS : ) (.. HTTP ) ) (.. PDF) ) (PDF ZIP ). W. T R,. T, R. F, R. O,. W R. W PDF,,, -. M -. F R, I,-,,, G. W, -. O R - NIDS. I, : -. T -,,. R,,,. R, NIDS. R -. R. R W T NIDS [] NIDS [,, ]. F, - - (NF) Y. [] - (DF) S. [, ] (XF). D J [],. W,

3 ,. [,,,, ].,,. I,,,. T,,. O NIDS. P. [] V. [] NIDS NIDS. V. T,, NIDS,. D F [] PF RING L. T, (TNPI),.. G. [] NIDS, /,. R,. F, [,,,,, ]. I, [].. S [,, ]. I, VRT R [],. O. S R - -,,,. O /. T, -, -,,. -,,. F, TP, HTTP SMTP/MIME. P. F, HTML,, PDF, ZIP. S. S,. F, ZIP, JPEG, PDF,. R,,. W -,. O R,. T R NIDS,.. T

4 -. T -- R. T -. T, - -, -. T NIDS -. T,,., R. R. F,, (.., HTTP, SMTP), (.., PDF, ZIP ). T,,. S ( ),. T -, -.,. E. E. N. I,. E,,,. T R. T (ZIP PDF ),. W,,. R. R. I,,,, -. R, NIDS,,. I, R,, T,, R, MD. -,. T -. I R. R. F R. T R,,. P. I, P. T R V [].,. S --- (FIFO). D -. N -

5 F : R. T. T,. HTTP. T. H,. N,. T R. U,. I, FIFO. I,, NIDS. R -,. I,,. N,,.. T R,. HTTP SMTP/MIME R. T. T HTTP HTTP, HTTP. /,., R,. T IDS. I R,. T., HTTP,, (.., H, -T). P,. T -, MD. O, : SMTP MIME. T. T MIME. F,,., SMTP. D, SMTP -,. T MIME MIME-. S HTTP, MIME - (..,, -). T MIME. T MIME -, MD.

6 . T., ; -. I [].,,, (). I, - (.., ). T, ZIP PDF R. T ZIP. ZIP -. W ZIP, ZIP. T ZIP,, MD. F. T PDF. PDF,. M PDF J. H, J. T PDF,. T,, PDF NIDS. T PDF,,. T PDF,, -, J, -. S GNU. M, PDF, V []. T - PDF (..,, PDF, ) []. J,, - []. L, XORS [] (.. XOR, ROL). T R NIDS, S. I, - R. T,, PI. F, R : /++, P, P, J, PHP. T, R, PI. E E T,. F, R - NIDS. S,,, () (). T. T, R -. T R I,. M, -,,,, G. T. S. PDF ;, PDF G.,,

7 T : S S U E S R T PU T F E X X PU S RM.GH G.GH G - R. T -.. T. S R HTTP SMTP, TP. ( ). T S. W, T. T. P. D, -. T G E. I, L.. L D W -. I,. S. D.. T,,. T,. L (.. ). - IP,, IP,, (.., TP). MD. L,,. T.. R (,,.) (, TP,.). I,. F, - -, MD. W,. F- -. T,, R. T,. T. I,, -. E M. T. I,. F. T ( M). F -. F. T. T. E. F. F. T M, M. I M, M. N -

8 M M L S N T () L (M) F : S L ( ) M M L S N T () L (M) F : D L, M. F,, M.,, M. F,,. M. S,, M. F. T - M M L S N T () L (M) F : S L M M L S N T () L (M) F : D L ( / ). N,,. I,. O,,. T,,. H, NIDS. I, NIDS -

9 M M P L (M) () M L S S N M W T () F : O #.,,,,. S - -. H, R.. V T D NIDS NIDS. NIDS (.., ). R. M NIDS HTTP, HTTP, MIME. D -,,. H,. F HTTP MIME. T. T. T,, HTTP /,. () F : M L S D M L S S N # M W F : M L D D N HTTP, MIME, -. NIDS. T PDF R. T / PDF. F,. T -

10 V HTTP O E T T : V E O D V (G) E M ( ) F : HTTP E O /D M T () (M) S M. D. D. V S M- E J. O. D V (G) V MIME O E T QP E M ( ) W. W. T. T. F, NIDS. T,, R. F : MIME E O. D. T,. W, PU- -, IO. I,,. T U. N,, MIME. J PDF J. T PDF, M, J. T,. M, J,. M PDF J. T R NIDS. W, R NIDS. T. R. T. T HTTP, MIME, O M, ZIP, PDF /. T, URL HTTP, MD. R. T

11 T : E S S E HTTP O M MIME ZIP PDF,K,K K K K R -. T. T F. T,, M. N G. N R. W R,, -. F -T. N -. I, R NIDS. T PDF PDF. D, T.. F HTTP SMTP/MIME. T PDF ZIP,. E. P. T PU. I /. T,. F PU,, (S R.) PU R (L.). N R % D V () D V () V HTTP O T T () ( ) F : HTTP T O V MIME O T T () ( ) F : MIME T O. T ( HTTP, SMTP ),,. F. D, R % %, G. T.. T R,. S.

12 PU U (% ) M (% G) L. S R. PU U F E N H F : PU U F E S M S R H F : M S T. T. F - PU. N SMTP.% PU., SMTP. T PU HTTP (HTTP.). T MIME (MIME.) SMTP HTTP. T (S XFER) (O MUX) HTTP SMTP. W, PU. T, M. N / PU. PU U (% ) PU U (% ) PU U P O MUX S XFER MIME. HTTP. H F : PU U N PU U PDF H F : PU U PDF S W, PDF. F PU PDF. O - PDF PDF PU. T () (). S J () PDF J PDF, -. N PDF %

13 , PU R. T R NIDS. N ZIP PU. D. L T NIDS - (.., ). T R. R. F, - (.., HTTP). F, (.., -) -. N, R, (.., SMTP). T R -. F, R,,.. M U R. F,. T. M. I. M. T. T : D L L () [,) [,) [, ) [,*] V G G G G G,. W, V IDS, R, G G RM G. D RM, RM. I R. R RM RM,,. R RM. F S.. E T R,. F, NIDS. I R, R,,,.,,. I,.. D L O R. T R. T

14 . W R,. I R. T R. N % R - -. T R. W R,. I R, TP/IP,. H,. F W M R,. F, - V TP,. R. I (.., IDS, NIDS) R. R. W,. I, R,. H,. S. I, R, -. T, R -. T -. T,, -. F, R. O, -,,, G, -, PDF ZIP,. R [] V. ://../. [] F. ://..//. [] -. ://..///. []. ://..//. [] V. ://.///. [] VRT. ://..//. [] XORS. ://..// [] D., M. P, S., E. M, S. U,. Øø. :. I I IST E.,. [] N., D., H. W, J. D, P. J,. G, I. N. -. I S N D S S (NDSS).,. [] M., M. D, F. G, L. S. T. M SIGOMM R, ():,. [] N. W. D G.,. ://../ ///--..

15 [] L. D F. F. E. ://../MP.,.. [] R. D, M. D, M. E, J. K. T. ://../---/, S.. [] H. D,. F, M. M, V. P, R. S. D -. I USENIX S S,. [] R. D P. J.. I H P,. HP. IEEE I,,. [] R. G, E. S, J. V. E. I S P, IEEE S,,. [] F. G, Z. Z, L. W. T-D NIDS. I N,, S,. NS. I,,. [] H. K, K., M. F, D., M. F, K. L. I :,,. I P M NEXT,. M,. [] S. K, S. D, F. Y, P., J. T.. I P,,,,. M,. [] W. L, F. M, J. MH. T :. I P S I S V S, VS,, N Y, NY, US,. M. [] P. L, Y. L, T. L, Y. L. U., ():,. [] M L. M, I. Q T R R D M G T H. ://../Q T R, N.. [] T. N G.. I. S & T, IEEE, ():,. [] M. N, D. R, D. R. S. I. S.: H -. [] R. P, V. P, R. S, L. P. :. I P M SIGOMM I,, R J,,. M. [] V. P. : -. I SSYM : P USENIX S S,,,, US,. USENIX. [] V. P, R. S, N. W. -. I S S, IEEE,,. [] M. P, K. G., E. P. M. E- -. I. Kü, R. L,.,, RID, L N S,. S,. [] Z. R N., -,. ://../// /. [] R. S,. E, S. J. XF:. I S P,. SP. IEEE S,,. [] R. S,. E, S. J, S. K. D :. M SIG- OMM R, ():,. [] R. S V. P. E -. I S : P M,, N Y, NY, US,. M. [] R. S V. P. O : O. S P, IEEE S, :,. [] L. T T. S. -. M, IEEE, ():,.

16 [] M. V, R. S, J. L,. L, V. P,. T. T : S,. I R I D,. [] G. V, M. P, S., E. M, S. I. R. I R I D,. S,. [] G. W, P.,. K, E. K.. I S N D S S (NDSS).,. [] F. Y, Z., Y. D, T. V. L, R. H. K. F -. I P M/IEEE,, S J,, US,. M.

WORLD MATHS DAY ACTIVITY PACK. Ages worldmathsday.com UNICEF WORLD MATHS DAY Lesson Plans Age 4 10 ACTIVITY RESOURCE

WORLD MATHS DAY ACTIVITY PACK. Ages worldmathsday.com UNICEF WORLD MATHS DAY Lesson Plans Age 4 10 ACTIVITY RESOURCE UNICEF AND WORLD MATHS DAY Hp q WORLD MATHS DAY ACTIVITY PACK A 4-10 UNICEF WORLD MATHS DAY 2018 L P A 4 10 ACTIVITY RESOURCE APPENDIX 1 APPENDIX 2 G S---Bx S E f UNICEF WORLD MATHS DAY 2018 L P A 4-10

More information

Networking Management system Protocol. User s Manual

Networking Management system Protocol. User s Manual wk M U M Id hp : I : dw : fw : w hp : w h : h : h : h h pwd : f. M p f. d h p : h : 7: f M-MU. h f d dp f d. h f d dp f b- d. h f d dp f * d. h f d dp f d. h f d dp f Y d. h f d dp f. d 7. h f d dp f V

More information

Generalized Conditional Convergence and Common Fixed Point Principle for Operators on Metric Spaces

Generalized Conditional Convergence and Common Fixed Point Principle for Operators on Metric Spaces International Mathematical Forum, Vol. 7, 2012, no. 2, 57-64 Generalized Conditional Convergence and Common Fixed Point Principle for Operators on Metric Spaces Tanmoy Som and Lokesh Kumar Department of

More information

P 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 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 information

A[0..14] A[0..15] D[0..7] A[0..15] D[0..7] D[0..7] R/W I/O Phi0 MAP R/W R/W. I/O Phi0 MAP. Phi0 MAP. ROMDIS Phi2. ROMDIS Phi2. Id: 1/

A[0..14] A[0..15] D[0..7] A[0..15] D[0..7] D[0..7] R/W I/O Phi0 MAP R/W R/W. I/O Phi0 MAP. Phi0 MAP. ROMDIS Phi2. ROMDIS Phi2. Id: 1/ Power power.sch udio SOUN_OUT audio.sch Phi P[0..] P[0..] Phi P[0..] P[0..] PU Phi P[0..] P[0..] [0..] [0..] I/O MP ROMIS Phi [0..] [0..] I/O MP ROMIS Phi UL [0..] [0..] VI_S MP ula.sch LUE RE SYN M[0..]

More information

Discovery Guide. Beautiful, mysterious woman pursued by gunmen. Sounds like a spy story...

Discovery Guide. Beautiful, mysterious woman pursued by gunmen. Sounds like a spy story... Dv G W C T Gp, A T Af Hk T 39 Sp. M Mx Hk p j p v, f M P v...(!) Af Hk T 39 Sp, B,,, UNMISSABLE! T - f 4 p v 150 f-p f x v. Bf, k 4 p v 150. H k f f x? D,,,, v? W k, pf p f p? W f f f? W k k p? T p xp

More information

UNIVERSITY OF CALIFORNIA, RIVERSIDE

UNIVERSITY OF CALIFORNIA, RIVERSIDE Final Page of UNIVERITY OF CLIFORNI, RIVERIDE Computer cience Department and Electrical Engineering Department C/EE20 Logic Design Final December, 2000 50 Name: olution Key tudent ID#: Please print legibly

More information

T 1 (p) T 3 (p) 2 (p) + T

T 1 (p) T 3 (p) 2 (p) + T εt) ut) Ep) ɛp) Tp) Sp) Ep) ɛp) T p) Up) T 2 p) T 3 p) Sp) Ep) ɛp) Cp) Up) Tp) Sp) Ep) ɛp) T p) Up) T 2 p) Cp) T 3 p) Sp) Ep) εp) K p Up) Tp) Sp) Cp) = Up) εp) = K p. ε i Tp) = Ks Np) p α Dp) α = ε i =

More information

Trade Patterns, Production networks, and Trade and employment in the Asia-US region

Trade Patterns, Production networks, and Trade and employment in the Asia-US region Trade Patterns, Production networks, and Trade and employment in the Asia-U region atoshi Inomata Institute of Developing Economies ETRO Development of cross-national production linkages, 1985-2005 1985

More information

Hamiltonian flow in phase space and Liouville s theorem (Lecture 5)

Hamiltonian flow in phase space and Liouville s theorem (Lecture 5) Hamiltonian flow in phase space and Liouville s theorem (Lecture 5) January 26, 2016 90/441 Lecture outline We will discuss the Hamiltonian flow in the phase space. This flow represents a time dependent

More information

Zsolt Arki. Development and Investment Department Antenna Hunária Co.

Zsolt Arki. Development and Investment Department Antenna Hunária Co. Sd 1 T u f d bdc Hu Z A Hd f Sm P Tm Dvpm d Ivm Dpm A Hu C DTAG m: T Luc f DTT C & E Eup 8 Ju 2005 Sp Sd 2 H f Hu DVT (1) 1999: c d xpm bdc A Hu 2001: f f w d m Tm c xpm, xm f b d mb cv pb Mumd d cv Tm

More information

NHT Pro. A20 Digital Meter. From Low. Voltage 3 R814. Power 3. Supply. From Left Power Amp. From. Rigjht 2. Amp R810 4.

NHT Pro. A20 Digital Meter. From Low. Voltage 3 R814. Power 3. Supply. From Left Power Amp. From. Rigjht 2. Amp R810 4. igital Meter R0.K V 0 0.UF U0 R 0 V R0 K 0 0.uF 0.V R9 R K K V V V 0 09 0 N0 0UF/V Low 0UF/V 00UF/V R R 00K 00K 0 pf Left N0 0 N N 0 VR0 0K 0 0.uF R 0M 0 0.uF k U0 9 0 V0 0.uF N0 V PI 0 09 R R 0 SPL GREEN

More information

The number field sieve in the medium prime case

The number field sieve in the medium prime case The number field sieve in the medium prime case Frederik Vercauteren ESAT/COSIC - K.U. Leuven Joint work with Antoine Joux, Reynald Lercier, Nigel Smart Finite Field DLOG Basis finite field is F p = {0,...,

More information

!" # $ $ % & &!" $! $ $! $ '

! # $ $ % & &! $! $ $! $ ' !"#$$ % &&!" $! $$!$ ' Smoking #$ N = #$&% lung ner #$*%&' X-ry ronhitis #$% #$%&' yspnoe &.2.3 22 2'32' 23 2'52'6 32 2'72'8 33 2'2'3 PS X = PS P S P S PX S P *+-./ 0 #$#$&%#$%#$*%&'#$%&' onstrint Stisftion

More information

Actuarial mathematics

Actuarial mathematics Actuarial mathematics Multiple life tables Edward Furman Department of Mathematics and Statistics York University November 2, 2011 Edward Furman Actuarial mathematics MATH 3280 1 / 15 Life table Random

More information

2.0 REGIONAL DRILLING ACTIVITY AND PRODUCTION

2.0 REGIONAL DRILLING ACTIVITY AND PRODUCTION ( S ) 2. 0REGI ONALDRI LLI NGACTI VI TY ANDPRODUCTI ON Nm C: 2-d d/3-d d/5-h df Exmp: 37027_OC12 (P B C Op Smp 12) F h w h f m d wh h API mb. Th d API mb/pj ID h fwd b h d f h f d whh h d fd. F dd f fm

More information

Vr Vr

Vr Vr F rt l Pr nt t r : xt rn l ppl t n : Pr nt rv nd PD RDT V t : t t : p bl ( ll R lt: 00.00 L n : n L t pd t : 0 6 20 8 :06: 6 pt (p bl Vr.2 8.0 20 8.0. 6 TH N PD PPL T N N RL http : h b. x v t h. p V l

More information

CLKOUT CLKOUT VCC CLKOUT RESOUT OSCOUT ALE TEST AD0 66 AD2 INT0 INT0 AD INT1 AD INT2/INTA0 AD5 AD7 AD7 INT AD8 AD8 AD10

CLKOUT CLKOUT VCC CLKOUT RESOUT OSCOUT ALE TEST AD0 66 AD2 INT0 INT0 AD INT1 AD INT2/INTA0 AD5 AD7 AD7 INT AD8 AD8 AD10 I U N R 00K RSIN* RST S N.0u Y LK TP RP K L TP USY INT0 INT RISMINT P.0 P. P. P. P. P. P. RY OL RX0 TX0 T P.0 P. P. P. S* S* S* S* RROR* SLK U LKIN LKOUT LKOUT LKIN LKOUT OSOUT 0 OSOUT L L RSIN* L 0 0

More information

PROBLEMS, MATH 214A. Affine and quasi-affine varieties

PROBLEMS, MATH 214A. Affine and quasi-affine varieties PROBLEMS, MATH 214A k is an algebraically closed field Basic notions Affine and quasi-affine varieties 1. Let X A 2 be defined by x 2 + y 2 = 1 and x = 1. Find the ideal I(X). 2. Prove that the subset

More information

H NT Z N RT L 0 4 n f lt r h v d lt n r n, h p l," "Fl d nd fl d " ( n l d n l tr l t nt r t t n t nt t nt n fr n nl, th t l n r tr t nt. r d n f d rd n t th nd r nt r d t n th t th n r lth h v b n f

More information

Least-squares data fitting

Least-squares data fitting EE263 Autumn 2015 S. Boyd and S. Lall Least-squares data fitting 1 Least-squares data fitting we are given: functions f 1,..., f n : S R, called regressors or basis functions data or measurements (s i,

More information

St ce l. M a p le. Hubertus Rd. Morgan. Beechwood Industrial Ct. Amy Belle Lake Rd. o o. Am Bell. S Ridge. Colgate Rd. Highland Dr.

St ce l. M a p le. Hubertus Rd. Morgan. Beechwood Industrial Ct. Amy Belle Lake Rd. o o. Am Bell. S Ridge. Colgate Rd. Highland Dr. S l Tu pi Kli 4 Lil L ill ill ilfl L pl hi L E p p ll L hi i E: i O. Q O. SITO UKES Y Bll Sig i 7 ppl 8 Lill 9 Sh 10 Bl 11 ul 12 i 7 13 h 8 10 14 Shh 9 11 41 ill P h u il f uu i P pl 45 Oh P ig O L ill

More information

Number, Number Sense, and Operations Data Analysis and Probability

Number, Number Sense, and Operations Data Analysis and Probability Algebra 1 Unit 1 Numbers 3 weeks Number, Number Sense, and Operations Data Analysis and Probability NC Apply properties of operations and the real number system, and justify when they hold for a set of

More information

Number Systems 1(Solutions for Vol 1_Classroom Practice Questions)

Number Systems 1(Solutions for Vol 1_Classroom Practice Questions) Chapter Number Systems (Solutions for Vol _Classroom Practice Questions). ns: (d) 5 x + 44 x = x ( x + x + 5 x )+( x +4 x + 4 x ) = x + x + x x +x+5+x +4x+4 = x + x + x 5x 6 = (x6) (x+ ) = (ase cannot

More information

ECE 2210 Final given: Spring 15 p1

ECE 2210 Final given: Spring 15 p1 ECE 2 Final given: Spring 15 Closed Book, Closed notes except preprinted yellow sheet, Calculators OK. Show all work to receive credit. Circle answers, show units, and round off reasonably 1. (15 pts)

More information

Am186CC and Am186CH POTS Line Card

Am186CC and Am186CH POTS Line Card RVISION HISTORY RV. T INITILS.0 // JSK m and mh POTS Line ard Reference esign NOT: The purpose of this design is to illustrate how to connect some of the M digital blocks together. It is not intended to

More information

THE HEAVISIDE OPERATIONAL CALCULUS* BY H. W. MARCH

THE HEAVISIDE OPERATIONAL CALCULUS* BY H. W. MARCH 1927.I HEAVISIDE OPERATIONAL CALCULUS 311 Again, generally fit^f. Under what condition will /i /'? From (2) and (3) we see that the dual of a function is the same as the negative of the function if each

More information

Information Theory and Coding Techniques

Information Theory and Coding Techniques Information Theory and Coding Techniques Lecture 1.2: Introduction and Course Outlines Information Theory 1 Information Theory and Coding Techniques Prof. Ja-Ling Wu Department of Computer Science and

More information

Logical Effort. Sizing Transistors for Speed. Estimating Delays

Logical Effort. Sizing Transistors for Speed. Estimating Delays Logical Effort Sizing Transistors for Speed Estimating Delays Would be nice to have a back of the envelope method for sizing gates for speed Logical Effort Book by Sutherland, Sproull, Harris Chapter 1

More information

Mac Williams identities for linear codes as Riemann-Roch conditions Azniv Kasparian, Ivan Marinov 1

Mac Williams identities for linear codes as Riemann-Roch conditions Azniv Kasparian, Ivan Marinov 1 Mac Williams identities for linear codes as Riemann-Roch conditions Azniv Kasparian, Ivan Marinov 1 1 Partially supported by Contract 57/12.04.2016 with the Scientific Foundation of Kliment Ohridski University

More information

100K SLQ1 OP2 R207. Future option SLQ2 OP2 R307. Future option

100K SLQ1 OP2 R207. Future option SLQ2 OP2 R307. Future option ON N/S E/W NTENN 00 XnF 00 XnF 0 XnF 0 XnF 0 XnF 0 XnF R00 Not Used (*) 0 0nF 0 0nF R0 K 0 nf (*) See "revision level." here below R00 Not Used (*) R0 K 0 nf!!! IMPORTNT!!! 00-0-0 & 00-0-0 Must be determined

More information

A Quick Look At Spyne

A Quick Look At Spyne A Quick Look At Spyne Burak Arslan burak at arskom dot com dot tr April 7, 2013 1 What is Spyne? Spyne makes it convenient to expose your services using multiple protocols and/or transports. 2 What is

More information

Bedminster Township School Grade 3 Language Arts Literacy Curriculum Map

Bedminster Township School Grade 3 Language Arts Literacy Curriculum Map Rvd Spb 2008 Bd Twhp Sh Gd 3 L A Ly C Mp T F Sp.- O. Ph/ Wd Sdy: (Fd) U 1, 2 d 3 W Wkhp: (S W Sk F) G/ U: (S G/U Sk F) Nv.-D. Ph/ Wd Sdy: (Fd) U 4 d 5 Jy Fd Ph/ Wd Sdy: (Fd) U 6 d 7 Fby Ph/ Wd Sdy: (Fd)

More information

EE 447 VLSI Design. Lecture 5: Logical Effort

EE 447 VLSI Design. Lecture 5: Logical Effort EE 447 VLSI Design Lecture 5: Logical Effort Outline Introduction Delay in a Logic Gate Multistage Logic Networks Choosing the Best Number of Stages Example Summary EE 4475: VLSI Logical Design Effort

More information

Reliability of Coherent Systems with Dependent Component Lifetimes

Reliability of Coherent Systems with Dependent Component Lifetimes Reliability of Coherent Systems with Dependent Component Lifetimes M. Burkschat Abstract In reliability theory, coherent systems represent a classical framework for describing the structure of technical

More information

FICH~:s lciithyo\l~~trio~es.

FICH~:s lciithyo\l~~trio~es. PB FCNyM UNLP T g vg wk b b y y g b y F wk v b m b v gz w my y m g E bv b g y v q y q q ó y P mv gz y b v m q m mó g FCH CTHYOTROES P W P -C b } k < HP- qe q< - - < - m T

More information

100K SLQ1 OP2 R207. Future option SLQ2 OP2 R307. Future option

100K SLQ1 OP2 R207. Future option SLQ2 OP2 R307. Future option ON N/S E/W NTENN 00 XnF 00 XnF 0 XnF 0 XnF 0 XnF 0 XnF R00 Not Used (*) 0 0nF 0 0nF R0 K 0 nf (*) See "revision level." here below R00 Not Used (*) R0 K 0 nf!!! IMPORTNT!!! 00-0-0 & 00-0-0 Must be determined

More information

OH 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! 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 information

Executive Committee and Officers ( )

Executive 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 information

Novel Implementation of Finite Field Multipliers over GF(2m) for Emerging Cryptographic Applications

Novel Implementation of Finite Field Multipliers over GF(2m) for Emerging Cryptographic Applications Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2017 Novel Implementation of Finite Field Multipliers over GF(2m) for Emerging Cryptographic Applications

More information

WORLD MATH DAY ACTIVITY PACK. Ages worldmathsday.com UNICEF WORLD MATH DAY Lesson Plans Age 4 10 ACTIVITY RESOURCE

WORLD MATH DAY ACTIVITY PACK. Ages worldmathsday.com UNICEF WORLD MATH DAY Lesson Plans Age 4 10 ACTIVITY RESOURCE UNICEF AND WORLD MATH DAY Hp qy WORLD MATH DAY ACTIVITY PACK A 4-10 UNICEF WORLD MATH DAY 2018 L P A 4 10 ACTIVITY RESOURCE APPENDIX 1 APPENDIX 2 G S---Bx Sy E f y UNICEF WORLD MATH DAY 2018 L P A 4-10

More information

Y. H. Harris Kwong SUNY College at Fredonia, Fredonia, NY (Submitted May 1987)

Y. H. Harris Kwong SUNY College at Fredonia, Fredonia, NY (Submitted May 1987) Y. H. Harris Kwong SUNY College at Fredonia, Fredonia, NY 14063 (Submitted May 1987) 1. Introduction The Stirling number of the second kind, S(n, k), is defined as the number of ways to partition a set

More information

INFORMATION TECHNOLOGY SYSTEMS SPDs FOR 19 TECHNOLOGY. NET Protector Surge Arrester. Protects switches, HUBs and telecommunication

INFORMATION TECHNOLOGY SYSTEMS SPDs FOR 19 TECHNOLOGY. NET Protector Surge Arrester. Protects switches, HUBs and telecommunication Surge Arrester Protects switches, HUBs and telecommunication systems Class D according to EN 0 possible (Gigabit Ethernet) Variably equippable patch panels Units available with plug-in inputs and outputs

More information

Homework for 1/13 Due 1/22

Homework for 1/13 Due 1/22 Name: ID: Homework for 1/13 Due 1/22 1. [ 5-23] An irregularly shaped object of unknown area A is located in the unit square 0 x 1, 0 y 1. Consider a random point distributed uniformly over the square;

More information

Nonlinearity & Preprocessing

Nonlinearity & Preprocessing Nonlinearity & Preprocessing Nonlinear Features x4: -1 x1: +1 x3: +1 x2: -1 Concatenated (combined) features XOR: x = (x 1, x 2, x 1 x 2 ) income: add degree + major Perceptron Map data into feature space

More information

FLORENTIN SMARANDACHE A Function in the Number Theory

FLORENTIN SMARANDACHE A Function in the Number Theory FLORENTIN SMARANDACHE A Function in the Number Theory In Florentin Smarandache: Collected Papers, vol. II. Chisinau (Moldova): Universitatea de Stat din Moldova, 1997. A FUNCTION IN THE NUMBER THEORY Summary

More information

On transitive polynomials modulo integers

On transitive polynomials modulo integers Notes on Number Theory and Discrete Mathematics Print ISSN 1310 5132, Online ISSN 2367 8275 Vol. 22, 2016, No. 2, 23 35 On transitive polynomials modulo integers Mohammad Javaheri 1 and Gili Rusak 2 1

More information

ide ide.sch C1-C22 0.1uF

ide ide.sch C1-C22 0.1uF console cpu ide iot console.sch cpu.sch ide.sch iot.sch memory memory.sch ONN_0X0 TP TP TEST POTS & ONN_0X0 0K R0 ONN_0X0 J +V PWR_FLG F PWR_FLG N uf 0 0-0.uF p 0 Sd d U H SPRE; UNUSE PUTS MUST E HEL HGH

More information

c. 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

c. 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 information

Equivalent Circuits with Multiple Damper Windings (e.g. Round rotor Machines)

Equivalent Circuits with Multiple Damper Windings (e.g. Round rotor Machines) Equivalent Circuits with Multiple Damper Windings (e.g. Round rotor Machines) d axis: L fd L F - M R fd F L 1d L D - M R 1d D R fd R F e fd e F R 1d R D Subscript Notations: ( ) fd ~ field winding quantities

More information

U. S. Highway 412 Corridor, Average Daily Traffic Western Portion Vicinity of Benton and Washington Counties

U. S. Highway 412 Corridor, Average Daily Traffic Western Portion Vicinity of Benton and Washington Counties Bu V Fm R i pi R R bb Fi 8 Bvi Fihip R Bufi h R Vii f v M h hi i B Av Ei Av G A hz Np v im Rbi Av i F-Ex i App uh hmii Av f Av G Av G A R bpp Av R Av V Av i hip Yu G m G Av Qu R P Av Ah Mib u E P Av uh

More information

Hypothesis Testing. Robert L. Wolpert Department of Statistical Science Duke University, Durham, NC, USA

Hypothesis Testing. Robert L. Wolpert Department of Statistical Science Duke University, Durham, NC, USA Hypothesis Testing Robert L. Wolpert Department of Statistical Science Duke University, Durham, NC, USA An Example Mardia et al. (979, p. ) reprint data from Frets (9) giving the length and breadth (in

More information

MLBI

MLBI Lampiran 1 : Pengolahan Data ROA Variabel bebas Variabel terikat : VAIC, Ukuran, dan Leverage : ROA EMITEN TAHUN ROA (%) VAIC (%) UKURAN CEKA DLTA INDF MYOR LEVERAGE (Rp) LnROA LnVAIC LnLEVERAGE 2007 0.04

More information

CSE 140 Lecture 11 Standard Combinational Modules. CK Cheng and Diba Mirza CSE Dept. UC San Diego

CSE 140 Lecture 11 Standard Combinational Modules. CK Cheng and Diba Mirza CSE Dept. UC San Diego CSE 4 Lecture Standard Combinational Modules CK Cheng and Diba Mirza CSE Dept. UC San Diego Part III - Standard Combinational Modules (Harris: 2.8, 5) Signal Transport Decoder: Decode address Encoder:

More information

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No xhibit 2-9/3/15 Invie Filing Pge 1841 f Pge 366 Dket. 44498 F u v 7? u ' 1 L ffi s xs L. s 91 S'.e q ; t w W yn S. s t = p '1 F? 5! 4 ` p V -', {} f6 3 j v > ; gl. li -. " F LL tfi = g us J 3 y 4 @" V)

More information

Name: Grade: Q1 Q2 Q3 Q4 Q5 Total. ESE370 Fall 2015

Name: Grade: Q1 Q2 Q3 Q4 Q5 Total. ESE370 Fall 2015 University of Pennsylvania Department of Electrical and System Engineering Circuit-Level Modeling, Design, and Optimization for Digital Systems ESE370, Fall 205 Midterm Wednesday, November 4 Point values

More information

ECE-343 Test 2: Mar 21, :00-8:00, Closed Book. Name : SOLUTION

ECE-343 Test 2: Mar 21, :00-8:00, Closed Book. Name : SOLUTION ECE-343 Test 2: Mar 21, 2012 6:00-8:00, Closed Book Name : SOLUTION 1. (25 pts) (a) Draw a circuit diagram for a differential amplifier designed under the following constraints: Use only BJTs. (You may

More information

COMMENTS ON. COMPUTATION OF THE FAST WALSH-FOURIER TRANSFORM 11-j ABSTRACT. form of the Walsh functions as defined in the short note

COMMENTS ON. COMPUTATION OF THE FAST WALSH-FOURIER TRANSFORM 11-j ABSTRACT. form of the Walsh functions as defined in the short note ,- SLAC - PU6 - c3q COMMENTS ON COMPUTATION OF THE FAST WALSH-FOURIER TRANSFORM 11-j ABSTRACT The matrix form of the Walsh functions as defined in the short note referred matrices, to can be generated

More information

0603/15p/10v L R/100MHz. 100nF/50V. 100nF/16V. 100nF/50V C105 C106 C108 C107 GND GND GND GND

0603/15p/10v L R/100MHz. 100nF/50V. 100nF/16V. 100nF/50V C105 C106 C108 C107 GND GND GND GND +V +V 00nF/0V 00nF/0V 00nF/0V 00R/00MHz.µF/0V 00nF/V 00nF/V 0K K n.b. 0k 0k 00/p/0v 00/p/0v MHZ-.X. 00nF/V 0R 0R µ/v MK0XVLK MK0XVLK 00nF/0V 00nF/0V µ/v 00R/00MHz 0R 0 0 0 L0 0 0 R0 R0 R0 R0 L0 L0 Y0 0

More information

f;g,7k ;! / C+!< 8R+^1 ;0$ Z\ \ K S;4 i!;g + 5 ;* \ C! 1+M, /A+1+> 0 /A+>! 8 J 4! 9,7 )F C!.4 ;* )F /0 u+\ 30< #4 8 J C!

f;g,7k ;! / C+!< 8R+^1 ;0$ Z\ \ K S;4 i!;g + 5 ;* \ C! 1+M, /A+1+> 0 /A+>! 8 J 4! 9,7 )F C!.4 ;* )F /0 u+\ 30< #4 8 J C! 393/09/0 393//07 :,F! ::!n> b]( a.q 5 O +D5 S ١ ; ;* :'!3Qi C+0;$ < "P 4 ; M V! M V! ; a 4 / ;0$ f;g,7k ;! / C+!< 8R+^ ;0$ Z\ \ K S;4 "* < 8c0 5 *

More information

Incident Response tactics with Compromise Indicators

Incident Response tactics with Compromise Indicators Vladimir Kropotov, Vitaly Chetvertakov, Fyodor Yarochkin RusCrypto 2014 March 25-28, 2014 Outline Basics Standards Tools Sharing IOCs IOCs composites Case Study More on Tools Questions Introduction Indicators

More information

Prayer. Volume III, Issue 17 January 11, Martin Luther King Jr. Prayer. Assumption Catholic School 1

Prayer. Volume III, Issue 17 January 11, Martin Luther King Jr. Prayer. Assumption Catholic School 1 Vm III, I 17 J 11, 2017 TROJAN NEW W Rpb Cz, E Cmm, L L L, d A Ch wh bd mm d mk p. P M Lh K J. P Gd h h h Am d A h wd, W w h h hh w; w whh M w h bh. A w whh h h wd w B h wd pwh, Ad h p p hk. A w whh m

More information

C107 C108 C uF/10V Ta. 10uF/10V Ta. 100nF. 100nF. 100nF C106 C111 C110 VCC VCC AVCC (AD0)PA0 (AD1)PA1 (AD2)PA2 (AD3)PA3 (AD4)PA4 (AD5)PA5

C107 C108 C uF/10V Ta. 10uF/10V Ta. 100nF. 100nF. 100nF C106 C111 C110 VCC VCC AVCC (AD0)PA0 (AD1)PA1 (AD2)PA2 (AD3)PA3 (AD4)PA4 (AD5)PA5 ate: may 0 Kiad.... ize: Id: / RPIVR alarm v. File: rpialarm.sch heet: / pittnerovi.com P0 P P 0 P0 PI VR_ IRQ IRQ VR_ V R0 00k RFM_IRQ PWM LOOP LOOP0 comm comm.sch 00uF/.V R0 00k V VR_ K VR_ V V RT P0

More information

Chapter 5 Practice Problem Answers 1.

Chapter 5 Practice Problem Answers 1. hapter 5 Practice Problem nswers 1. raw the Quadrilateral Family Venn iagram with all the associated definitions and properties. aroody Page 1 of 14 Write 5 ways to prove that a quadrilateral is a parallelogram:

More information

9/29/2016. Task: Checking for a Lower-Case Letter. ECE 120: Introduction to Computing. Change C 5 to C 5 to Obtain L(C) from U(C)

9/29/2016. Task: Checking for a Lower-Case Letter. ECE 120: Introduction to Computing. Change C 5 to C 5 to Obtain L(C) from U(C) University of Illinois at Urbana-Champaign Dept. of Electrical and Computer Engineering ECE 12: Introduction to Computing Multiplexers (Muxes) Task: Checking for a Lower-Case Letter What if we also need

More information

Covariance estimation using random matrix theory

Covariance estimation using random matrix theory Covariance estimation using random matrix theory Randolf Altmeyer joint work with Mathias Trabs Mathematical Statistics, Humboldt-Universität zu Berlin Statistics Mathematics and Applications, Fréjus 03

More information

Lions 202L News and Views Week Commencing 2 nd May ISSUE 586. Like us on facebook/noozletta Please address all items to

Lions 202L News and Views Week Commencing 2 nd May ISSUE 586. Like us on facebook/noozletta Please address all items to L 0L Nw d Vw W Cg d My ISSUE 86 L fb/nz P dd z@b.g.z Gg fw L I p y d g w d wd. I v d g w y b R E g f R Ad L M. w pg Sf Cy Ld w wd b f. b by pj, d g g pp w pfg dd v- ' L vg f d w dg g y v D' fg Off g g

More information

Intrinsic Four-Point Properties

Intrinsic Four-Point Properties Intrinsic Four-Point Properties Edward Andalafte, Raymond Freese, Brody Dylan Johnson and Rebecca Lelko Abstract. Many characterizations of euclidean spaces (real inner product spaces) among metric spaces

More information

DISCRETE CONTROLLED PRE-DRIVER FIR MODEL FOR HYBRID IBIS MODEL AMS SIMULATION MAY 09, 2015, TURIN, ITALY

DISCRETE CONTROLLED PRE-DRIVER FIR MODEL FOR HYBRID IBIS MODEL AMS SIMULATION MAY 09, 2015, TURIN, ITALY DISCRETE CONTROLLED PRE-DRIVER FIR MODEL FOR HYBRID IBIS MODEL AMS SIMULATION IEEE Workshop on Signal and Power Integrity (SPI) MAY 09, 2015, TURIN, ITALY WAEL DGHAIS AND F. H. BELLAMINE waeldghais@ua.pt/wael.dghais@hotmail.co.uk

More information

Decomposition of Parsimonious Independence Model Using Pearson, Kendall and Spearman s Correlations for Two-Way Contingency Tables

Decomposition of Parsimonious Independence Model Using Pearson, Kendall and Spearman s Correlations for Two-Way Contingency Tables International Journal of Statistics and Probability; Vol. 7 No. 3; May 208 ISSN 927-7032 E-ISSN 927-7040 Published by Canadian Center of Science and Education Decomposition of Parsimonious Independence

More information

2 Lecture 1: spinors, their properties and spinor prodcuts

2 Lecture 1: spinors, their properties and spinor prodcuts 2 Lecture 1: spinors, their properties and spinor prodcuts Consider a theory of a single massless Dirac fermion. The Lagrangian is L = i ˆ@. (2.1) The Dirac equation is i ˆ@ =, (2.2) which, in momentum

More information

2905 Queueing Theory and Simulation PART III: HIGHER DIMENSIONAL AND NON-MARKOVIAN QUEUES

2905 Queueing Theory and Simulation PART III: HIGHER DIMENSIONAL AND NON-MARKOVIAN QUEUES 295 Queueing Theory and Simulation PART III: HIGHER DIMENSIONAL AND NON-MARKOVIAN QUEUES 16 Queueing Systems with Two Types of Customers In this section, we discuss queueing systems with two types of customers.

More information

Lecture 16: Sample quantiles and their asymptotic properties

Lecture 16: Sample quantiles and their asymptotic properties Lecture 16: Sample quantiles and their asymptotic properties Estimation of quantiles (percentiles Suppose that X 1,...,X n are i.i.d. random variables from an unknown nonparametric F For p (0,1, G 1 (p

More information

Central Suburbs and East Auckland New Network consultation

Central Suburbs and East Auckland New Network consultation 27 J 2016. 10.2 Op T :. f f (I), f p, f p j TO -. x pp f 1 O 10 2015. F (I) 3,743 p f f. 60 p f pp q O x pp pp? pp f, pp, pp, 39 p pp. F, p q q, 64% pp pp. f f, 29 f 52. I 10 f 15, f 8. T xp f f pp f.

More information

s with the Extended Lee Weight

s with the Extended Lee Weight Filomat 30:2 (2016), 255 268 DOI 10.2298/FIL1602255O Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat On Codes over Z p s with the

More information

SOLUTION OF DIFFERENTIAL EQUATIONS BASED ON HAAR OPERATIONAL MATRIX

SOLUTION OF DIFFERENTIAL EQUATIONS BASED ON HAAR OPERATIONAL MATRIX Palestine Journal of Mathematics Vol. 3(2) (214), 281 288 Palestine Polytechnic University-PPU 214 SOLUTION OF DIFFERENTIAL EQUATIONS BASED ON HAAR OPERATIONAL MATRIX Naresh Berwal, Dinesh Panchal and

More information

Some Classes of Invertible Matrices in GF(2)

Some Classes of Invertible Matrices in GF(2) Some Classes of Invertible Matrices in GF() James S. Plank Adam L. Buchsbaum Technical Report UT-CS-07-599 Department of Electrical Engineering and Computer Science University of Tennessee August 16, 007

More information

Decomposition methods in optimization

Decomposition methods in optimization Decomposition methods in optimization I Approach I: I Partition problem constraints into two groups: explicit and implicit I Approach II: I Partition decision variables into two groups: primary and secondary

More information

The synchronous machine (detailed model)

The synchronous machine (detailed model) ELEC0029 - Electric Power System Analysis The synchronous machine (detailed model) Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct February 2018 1 / 6 Objectives The synchronous

More information

Grilled it ems are prepared over real mesquit e wood CREATE A COMBO STEAKS. Onion Brewski Sirloin * Our signature USDA Choice 12 oz. Sirloin.

Grilled it ems are prepared over real mesquit e wood CREATE A COMBO STEAKS. Onion Brewski Sirloin * Our signature USDA Choice 12 oz. Sirloin. TT & L Gl v l q T l q TK v i f i ' i i T K L G ' T G!? Ti 10 (Pik 3) -F- L P ki - ik T ffl i zzll ik Fi Pikl x i f l $3 (li 2) i f i i i - i f i jlñ i 84 6 - f ki i Fi 6 T i ffl i 10 -i i fi & i i ffl

More information

ON THE NUMBER OF SUBSETS OF [1, M] RELATIVELY PRIME TO N AND ASYMPTOTIC ESTIMATES

ON THE NUMBER OF SUBSETS OF [1, M] RELATIVELY PRIME TO N AND ASYMPTOTIC ESTIMATES INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 8 (2008, #A41 ON THE NUMBER OF SUBSETS OF [1, M] RELATIVELY PRIME TO N AND ASYMPTOTIC ESTIMATES Mohamed El Bachraoui Department of Mathematical

More information

MEIC Central Detector Zhiwen Zhao for JLab MEIC Study Group

MEIC Central Detector Zhiwen Zhao for JLab MEIC Study Group MEIC Central Detector Zhiwen Zhao for JLab MEIC Study Group MEIC Collaboration Meeting 2015/10/07 MEIC Design Goals Energy Full coverage of s from 15 to 65 GeV Electrons 3-10 GeV, protons 20-100 GeV, ions

More information

A 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 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 information

ECE 546 Lecture 11 MOS Amplifiers

ECE 546 Lecture 11 MOS Amplifiers ECE 546 Lecture MOS Amplifiers Spring 208 Jose E. Schutt-Aine Electrical & Computer Engineering University of Illinois jesa@illinois.edu ECE 546 Jose Schutt Aine Amplifiers Definitions Used to increase

More information

N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r n h r d r

N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r n h r d r n r t d n 20 2 04 2 :0 T http: hdl.h ndl.n t 202 dp. 0 02 000 N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp. 2 24. NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r

More information

GM FUEL GAUGE RESET MODULE INSTALLATION INSTRUCTIONS (E85 FLEX FUEL VEHICLES) P14X AB

GM FUEL GAUGE RESET MODULE INSTALLATION INSTRUCTIONS (E85 FLEX FUEL VEHICLES) P14X AB M FU U S MU S SUS (85 FX FU S) P14X4-9233- evision: - ated 52214 eplaces: - ated 12014 M FU U S MU S P13X4-4111- - M FU U S MU MP - FU U S MU SSM - S U - 316" (=6") - SF P S - 18. PUP (=5') - 18. (=5')

More information

DOCUMENT STATUS: LA-S5302-XXXXS LA, SSS, TRICEPS EXTENSION VERY

DOCUMENT STATUS: LA-S5302-XXXXS LA, SSS, TRICEPS EXTENSION VERY RVSON STORY RV T SRPTON O Y //0 RLS OR PROUTON T LN MR ----- L /0/0 UPT SN N OMPONNTS US: S 3-03 (*N TWO PLS ONLY) WS 3-5, PRT 3-00 TO SSMLY. T OLLOWN UPT: 3-30, 3-403, 3-403, 3-40, 3-45, 3-4, 3-5. 30

More information

Future Self-Guides. E,.?, :0-..-.,0 Q., 5...q ',D5', 4,] 1-}., d-'.4.., _. ZoltAn Dbrnyei Introduction. u u rt 5,4) ,-,4, a. a aci,, u 4.

Future Self-Guides. E,.?, :0-..-.,0 Q., 5...q ',D5', 4,] 1-}., d-'.4.., _. ZoltAn Dbrnyei Introduction. u u rt 5,4) ,-,4, a. a aci,, u 4. te SelfGi ZltAn Dbnyei Intdtin ; ) Q) 4 t? ) t _ 4 73 y S _ E _ p p 4 t t 4) 1_ ::_ J 1 `i () L VI O I4 " " 1 D 4 L e Q) 1 k) QJ 7 j ZS _Le t 1 ej!2 i1 L 77 7 G (4) 4 6 t (1 ;7 bb F) t f; n (i M Q) 7S

More information

Please turn in form and check to the office by Monday, December 11 th. Amazon.com. HomeGoods. American Express. Lowe s. American Girl. Macy s.

Please turn in form and check to the office by Monday, December 11 th. Amazon.com. HomeGoods. American Express. Lowe s. American Girl. Macy s. Wh d v p u h w f? B v Sp d m u v h hd, h d ju h wh u m fm b f u PTO! Sp p h M f d. If u d mh h d fm, h u h Bm f vb. Th hudd f h. W w b d hd d du Md, Dmb 11h d v bf h u Fd, Dmb 22d. F d v $100, u p f hm

More information

FIRST MIDTERM MATH 104B, UCSD, WINTER 18

FIRST MIDTERM MATH 104B, UCSD, WINTER 18 FIRST MIDTERM MATH 104B, UCSD, WINTER 18 You have 80 minutes. There are 4 problems, and the total number of points is 70. Show all your work. Please make your work as clear and easy to follow as possible.

More information

Generating series of multiple divisor sums and other interesting q-series

Generating series of multiple divisor sums and other interesting q-series Generating series of multiple divisor sums and other interesting q-series 1th July 2014 Content of this talk We are interested in a family of q-series which arises in a theory which combines multiple zeta

More information

CS 140 Lecture 14 Standard Combinational Modules

CS 140 Lecture 14 Standard Combinational Modules CS 14 Lecture 14 Standard Combinational Modules Professor CK Cheng CSE Dept. UC San Diego Some slides from Harris and Harris 1 Part III. Standard Modules A. Interconnect B. Operators. Adders Multiplier

More information

Totals Calendar Year 2017, Northern Lights College Measure :cope 1 (Direct) Emissions Mobile Litres Combustion (Fleet) Quantity 49,735.23 112.40 Greenhouse Gases in Tonnes BioC02 3.93 0.01 0.03 124.49

More information

Objective 3. Draw resonance structures, use curved arrows, determine extent of delocalization. Identify major/minor contributor.

Objective 3. Draw resonance structures, use curved arrows, determine extent of delocalization. Identify major/minor contributor. Objective 3 Draw resonance structures, use curved arrows, determine extent of delocalization. Identify major/minor contributor. Structure Should Fit Experimental Data The chemical formula of benzene is

More information

A LDO Regulator with Weighted Current Feedback Technique for 0.47nF-10nF Capacitive Load

A LDO Regulator with Weighted Current Feedback Technique for 0.47nF-10nF Capacitive Load A LDO Regulator with Weighted Current Feedback Technique for 0.47nF-10nF Capacitive Load Presented by Tan Xiao Liang Supervisor: A/P Chan Pak Kwong School of Electrical and Electronic Engineering 1 Outline

More information

BCD-to-decimal decoder

BCD-to-decimal decoder -to-decimal decoder U0 The U0 is a decoder which converts signals to decimal signals. Of the ten outputs to, those corresponding to the to input codes are set to, and the others are all set to. If inputs

More information

2.3 T214 PTFE-LINED BUTTERFLY VALVE T 214 TECHNICAL DATA

2.3 T214 PTFE-LINED BUTTERFLY VALVE T 214 TECHNICAL DATA -INED BUTTERFY VAVE T ug type valve for corrosive and aggressive media. The patented shaft seal design ensures reliability even with high-corrosive applications. TECNICA DATA Nominal diameter: 0 Face-to-face:

More information

LASER DIODE NX5315EH DISCONTINUED

LASER DIODE NX5315EH DISCONTINUED DESCRIPTION 1 3 nm FOR FTTH PON APPLICATION InGaAsP MQW-FP LASER DIODE The NX5315EH is a 1 3 nm Multiple Quantum Well (MQW) structured Fabry-Perot (FP) laser diode with InGaAs monitor PIN-PD. This device

More information

2.1 T211 PTFE-LINED BUTTERFLY VALVE T 211 TECHNICAL DATA

2.1 T211 PTFE-LINED BUTTERFLY VALVE T 211 TECHNICAL DATA -INED BUTTERFY VAVE T Fully -lined wafer type valve for corrosive and aggressive media. The patented shaft seal design ensures reliability even with highcorrosive applications. TECNICA DATA Nominal diameter:

More information

Large Landscape Lighting Project

Large Landscape Lighting Project This report is in Lux LLF = 0.75 Date: 08 / 20 / 202 Operator: 08 / 20 / 202 42 North Main Street, Suite 200 Telephone 540.55.67 Table of contents Large Landscape Lighting Project Project Cover Table of

More information