Surface Contents Author Index

Size: px
Start display at page:

Download "Surface Contents Author Index"

Transcription

1 uae onen Auho Inde IAP VOLUME IV PA 2 OMMIION II i an Aug.2-22 EM ALIBAION OF INELLIGEN PHOOGAMMEON Heping PAN 1 hunen HANG 2 1 Digial Inelligene eeah ene hool o emoe ening and Inomaion EngineeingWuhan Univei panhp@pobao.om 2 i an Iniue o iene and ehnolog i an zhangm151@ohu.om ommiion II I WG II/IV KE WOD: Phoogammeon Inelligen Phoogamme Video uveillane Head-Ee em Image equene aing Bundle Adjumen Kalman Fileing. ABA: Phoogammeon epeen a la o inelligen phoogammei em aiming a ealizing a numbe o newl deined unionaliie o inelligen phoogamme ha go beond he adiional phoogamme and he uenl dominan digial one inluding eal-ime phoogamme in video uveillane phoogamme-enabled obo inelligen muli-amea newo o loe-ange phoogamme. hi pape addee he geomei alibaion o Phoogammeon I - he i pe o Phoogammeon whih i deigned o be a oheen eeo phoogammei em in whih wo amea ae mouned on a phial bae bu diven b an inelligen agen ahieue. he em alibaion i divided ino wo pa: he in-lab alibaion deemine he ied paamee in advane o em opeaion and he in-iu alibaion eep aing he ee paamee in ealime duing em opeaion. In a video uveillane eup pepaed onol poin ae aed in eeo image equene o ha he ee paamee o he em an be oninuoul updaed hough ieaive bundle adjumen and Kalman ileing. wo mehod o alibaion ae diinguihed: he ong eeo mode whee a minimal e o paamee ae aed and he wea eeo model whee eah amea i alibaed independenl hough aing onol poin. 1. INODUION O PHOOGAMMEON In ode o bea hough he limiaion o he uen dominan digial phoogammei em Phoogammeon ha been popoed eenl [Pan 22] a a new la o inelligen phoogammei em. I i deigned o be an aive eeo viion em diven b an inelligen owae agen ahieue aiming a ealizing a numbe o newl deined unionaliie o inelligen phoogamme. ome main unionaliie ha go beond he adiional phoogamme and he uenl dominan digial one inlude eal-ime phoogamme in video uveillane phoogamme-enabled obo inelligen muli-amea newo o loe-ange phoogamme. Phoogammeon I a he i pe o Phoogammeon i deigned o be a oheen eeo phoogammei em in whih wo amea ae mouned on a phial bae imila o a head-ee em in obo viion bu he eeo amea baeline lengh i hangeable. hi pape addee he geomei alibaion o Phoogammeon I. In he ollowing diuion we hall impl ue he em Phoogammeon while we onl onine ou ope o Phoogammeon I. Fo he lai o he modelling and diuion we hooe o ud he video uveillane wih phoogammei unionaliie a he undeling appliaion. he alibaion o Phoogammeon i a moe ompliaed han ju alibaing he amea in adiional phoogamme beaue Phoogammeon poe a el-onained auomaiall onolled phial uue diven b an inelligen agen owae ahieue. Phiall Phoogammeon a hown in Fig.1 i made up o a phial uppo bae alled he houlde a pan-il uni alled he head mouned on he houlde a plae mouned on he head alled he eeo amea plae o eeo plae impl he le and igh amea wih hei pan-il uni on op o he eeo bae. Eah pan-il uni ha wo angula eedom: pan and il. In oal hee ae 9 eedom: pan and il angle o eah o he hee pan-il uni he baeline lengh beween wo amea he oal lengh o eah o he wo amea. Beide hee eedom hee ae ill a numbe o peied em paamee uh a he geome beween he head and he eeo bae and beween he eeo bae and eah o he amea pan-il uni a well a beween a amea pan-il uni and i uppoed amea. heeoe he whole paamee e o he em an be divided beween wo ube: he ee paamee and he ied paamee. he em alibaion o Phoogammeon i divided ino wo pa: he deeminaion o he ied paamee and o he ee paamee. he alibaion o he ied paamee an be done in a laboao in advane o he em opeaion whih hall be alled he in-lab alibaion. he alibaion o he ee paamee ha o be done in eal-ime duing em opeaion whih hall be alled he in-iu alibaion. ine vaiou pa o Phoogammeon uh a he head eeo plae he le pan-il uni and he le amea he igh pan-il uni and he igh amea ae uppoed o be alwa in moion in he video uveillane eup he ee paamee have o be oninuoul aed and updaed hough oninuou image aing in eeo image equene. he aual om o image aing ma be uniom opial low ompuaion o aing o pae eaue poin onl. 369

2 IAP VOLUME IV PA 2 OMMIION II i an Aug he eeo Plae z z W U O V hi i a plae o uppo he wo eeo amea. he eeo plae i ied on op o he head. On op o he eeo plae he le and igh amea pan-il uni ae mmeiall mouned. Fo implii we hall all he le/igh pan-il uni uppoing he le/igh amea he le/igh uni. ine he eeo plae i ied on op o he head i heeoe an il an UVW i aumed o he angle. A eeene em eeo plae. he oigin i aen o be he ape o he il O ai and wih a diane h U ai i hoizonal poining om ai ee o he deph om he em W ai i poining upwad. he UVW o O i deined angle and i i on he om he oigin. le o igh V owad he obje anomaion om he b + U V W 1 whee Figue 1. A geomei model o Phoogammeon I o in in 1 o 2 2. A GEOMEI MODEL OF PHOOGAMMEON A bai uue o Phoogammeon oni o 5 hadwae pa: he houlde he head he eeo plae he le amea and i pan-il uni and he igh amea wih i pan-il uni. We onide eah o hem a ollow. 2.1 he houlde 1 o in in o 3 and hi ee o he uppo o he em. I an be a ill ipode o a vehile wih wheel o obo wih leg. Fo he ime being we ju aume he houlde a ill elaive o he uveillane envionmen. Fo hi pa a Eulidean eeene em O i aumed whee he ai oepond o he veial line poining om he boom o he op hough he ene o he houlde. 2.2 he Head hi i a pan-il uni mouned on op o he houlde. elaive o he houlde he head an pan an angula eedom aound he O ai. I alo an il an angula eedom whih i ohogonal o he pan angle. h 2.4 he Le amea and I Pan-il Uni On op o he eeo plae he le and igh pan-il uni ae plaed along he U ai and he ae mmeiall plaed abou he ene - he W ai. Le denoe he pepeive ene o he le amea and he oal lengh. A eeene em z 4 z i aumed o he le amea ai i he pinipal ai o he amea poining hough he pepeive ene owad he ene. he image plane i 37

3 Heping PAN & hunen HANG on ba ide o. An image poin i poiioned wih oodinae. he pinipal poin i loaed a. Fo he le uni uppoing he le amea hee i a geomei ene he pan angle α and he il angle β. We mu be awae ha he pepeive ene and he uni ene do no oinide. And due o he diepan beween he wo ene he pepeive ene i a union o he pan and il angle α and β a well a he oal lengh whih ma be epeed geneall a α β 5 A imple om o hi union in he eeo plae eeene em U V W UVW i U V W + d a b + α β 6 whee a b d ae onan and ied one he amea i ied on he uni and α β ae wo wo-dimenional oaion maie and oα inα inα oα α 1 7 β 1 o β in β in β o β Noe ha he image oodinae em geneall ha a oaion abou he pinipal ai whih we denoe hee b γ. he anomaion om he image oodinae o he eeo plae eeene em i deined b 8 U U V V W W whee oγ in γ + γ α 1 in γ oγ 1 γ he igh amea and I Pan-il Uni imilal we have evehing o he igh amea and i panil uni. An elemen on he igh amea o pan-il uni i denoed b oeponding o i oune pa on he le amea o uni. heeoe o he igh amea we have he pepeive ene he eeene em z he oal lengh and he pinipal poin. Fo he igh pan-il uni we have he uni ene pan angle α and he ile angle β a well a he angle γ. he le and igh pan-il uni an anlae bu onl mmeiall le-igh abou he enal ai W along he U ai in aodane wih he equiemen on he eeo baeline lengh hange due o dieen phoogammei peiion equiemen. In geneal we equie he em o mainain U U V V W W 12 whee i a mbol denoing he diane om he le o igh uni ene o he ene o he eeo plae whih i abou he hal o he baeline lengh. Noe ha a pima dieene o Phoogammeon om geneal obo i ha he baeline lengh i hangeable and i onolled b he em. Alhough eah o he le and igh amea pan-il uni ha wo angula eedom we diinguih beween wo geneal em mode: ong eeo mode veu wea eeo mode. On he ong eeo mode wo pinipal ae z and z mu be mainained oplana and ha plane i alled he piniple epipola plane. he wo pinipal ae z and z om wo angle and epeivel wih he baeline. In he wea eeo mode we do no equie he wo pinipal ae be il oplana bu he le and igh amea hould mainain ovelapping view. We hall diu he alibaion o he wo mode epeivel. 3. IN-LAB ALIBAION OF FIED PAAMEE In he geomei model deibed above hee ae ied elaion a ollow: 371

4 IAP VOLUME IV PA 2 OMMIION II i an Aug he eeo plae i ied on op o he head o he diane paamee h i a onan; 2 he le and igh uni an onl anlae in one dimenion o he ohe wo diane paamee V W V W and ae onan; 3 he le amea i ied on op o he le uni o he a b d anlaion and aling a epeed in equaion 6 ae onan whih mediae he inluene o he pan and il angle o he uni o he pepeive ene. he e o onan paamee i heeoe deined a h V W V W a b d 13 he onan paamee h V W V W an be meaued hough pue mehanial poedue whih we hall no elaboae hee. he onan a b d ae deeminan o he pepeive ene o he amea elaive o he pan-il uni whih have o be deemined uing onol inomaion uh a onol poin in a laboao eup. Howeve he aual poedue o deemining hee onan an be he bundle adjumen uing he pepeive equaion whih i well eablihed in he phoogamme lieaue. In he ollowing diuion we aume hee 9 onan paamee ae nown a pealibaed in laboao beoe an aual appliaion o Phoogammeon. 4. IN-IU ALIBAION FO HE ONG EEO MODE In he ong eeo mode o he implii o he geome we eeze he il eedom o he le and igh amea uni o abolue zeo o he wo pinipal ae ae oplana wih he UV plane. he emaining pan angle o he le o igh epeivel a hown in uni i now denoed b and Fig.1 i.e. α π α β β 14 Wih he eeene em and geomei elemen deined above we an eablih he eeo imaging equaion. ae O a he global eeene em. A an ime an obje poin P i pojeed hough he wo amea ono he le and igh image poin p p on he le and igh image I I he oeponding image value ae I I. he pojeive equaion beween P and p an be epeed a whee λ i a ala. Wien in analial om we have + h U V W + λ γ 16 whee ha he om o α a deined in 7 wih α eplaed b and i a ommuing mai a deined in 9. imilal we an deive he pojeive equaion beween P and p o he igh amea a P OP O + + λ p 17 o in analial om a + h U V W 7 wih α eplaed b π. + λ whee λ i a ala and ha he om o Le 11 γ 18 α a deined in γ u v w P OP O + + λp

5 Heping PAN & hunen HANG 373 w v u 22 we have + W V U h 23 W V U h 24 Equaion 16 and 18 now an be ewien a + w v u λ 25 + w v u λ 26 Eliminaing he ala λ and λ om above equaion eul in he ollineai equaion and Fo eah obje poin we have 4 ollineai equaion a ime. Noe ha hee ae onl 7 ee paamee whih ae onolled b he em: τ whee τ mean he anpoe o veo. Appling equaion ino equaion 27-3 we obain he unional om o : ; F ; G ; F 34 ; G 35 Fo age aing we mu aume ha he obje poin ae alo moving and eve ee paamee i alo hanging wih ime o he ollineai equaion hould be wien a ; ; F 36 ; ; G 37 ; ; F 38 ; ; G 39 Howeve o em alibaion we aume a numbe o onol poin ei in he uveillane aea and he ae eihe manmade o eaed eaue poin bu he all ied ill. Fo

6 IAP VOLUME IV PA 2 OMMIION II i an Aug.2-22 eah uh onol poin we have 4 ollineai equaion being oninuou in ime : F ; ; G ; ; F ; ; G ; ; hee ae baiall wo appoahe o olving hee equaion o deemining he 7 ee paamee whih hemelve ma hange oninuoul in ime. he i appoah ue n > 2 onol poin o om 4n ollineai equaion o he om 4-43 and hen olve o he 7 ee paamee a an ime poin. he aual poedue i imila o he bundle adjumen in analial phoogamme [Wang 199] bu wih he paiula paamee e o. We hall no delve ino he deail o hi appoah a he bundle adjumen i well eablihed in phoogamme and hi paiula bundle adjumen an be developed in a imila wa. he eond appoah build on op o he i appoah bu alo ae ino aoun he oninui o he paamee vaiable and em dnami a welll a alo ae he em eading o hee paamee a obevaion o he paamee hemelve. he ae aniion equaion and he obevaion equaion o he Kalman ileing [Kalman 196] ae wien a Φ i a 7 veo an be inomplee daa. τ 7 noningula mai alled he ae aniion mai o he em; 7 mai alled he dnami noie mai; Γ i a m Ψ i a 7 7 mai alled he obevaion mai. Φ τ ha he ollowing popeie: Φ whee I i an ideni mai 49 1 I 1 2 Φ Φ 5 3 Φ Φ 1 Φ he obevaion equaion 45 inlude he lineaized veion o he ollineai equaion 4-43 a well a he addiional obevaion equaion o he em eading o he paamee. We hall no delve ino he deailed om o he ae aniion equaion 44 and he obevaion equaion 45. ˆ Le ~ ˆ ˆ denoe he eimae o a ime and denoe he eo o eimaion. Aume he eimae i a linea union o he obevaion z he linea lea quae eimaion i ahieved unde he ollowing ieion τ min [ ˆ ˆ ] [ ~ ~ τ E E ] 52 Φ Γ 1 w 1 z Ψ + v 1 44 o uing impliied noaion a Φ Γ 1w 1 z Ψ + v z z 2 z uppoe we have made obevaion 1 K o he 7-dimenional linea dnami em o 44 hough he l- dimenional linea obevaion em o 45 om ime 1 o ime. Aoding o hee obevaion daa we an eimae he em ae ˆ a ime and he aual eimaion poedue ha a paiula om o Kalman ileing ˆ ˆ ˆ Φ K z ΨΦ whee i he 7-dimenional paamee veo a deined b a ime alo alled he ae veo o he em; i he inege inde o ime and aiing < K < 1 < < + 1 < K < 48 K whee i alled he weigh mai o gain mai and i deined b he oeiien maie o he ae aniion equaion 44 and he obevaion equaion 45 a well a he { w }{ } ohai popeie o he noie v. We hall no K delve ino he deailed om o and uhe deail o he eimaion poedue due o he pae limiaion. w i m-dimenional dnami noie veo; dimenional obevaion veo l 7 + 4n z i l- whih inlude em eading o he ee paamee and image oodinae o viible onol poin; v i l- dimenional obevaion noie veo. Noe ha no eve ee paamee o eve onol poin i viible o he obevaion 5. IN-IU ALIBAION FO HE WEAK EEO MODE In he wea eeo mode eah o he le o igh pan-il uni α β α β ha wo angula eedom o o he igh amea and he pinipal ai o he le amea and he igh 374

7 Heping PAN & hunen HANG one ae no equied o be oplana. In hi mode he ee paamee veo oni o 9 ee paamee whih ma hange in ime: τ α β α β 54 hee ae wo appoahe o alibaion in uh a wea eeo mode: he i appoah i a join oluion o eimaing all he 9 paamee imulaneoul hough a paiula om o Kalman ileing a deibed in he peviou eion; he eond appoah i o eimae he abolue oienaion and ineio oienaion o eah amea independenl uing onol poin. ill in he eond appoah he oninui and dnami o he em ae paamee an be eploied hough a Kalman ileing mehanim. 6. ONLUION In hi pape a heo o geomei alibaion o inelligen Phoogammeon i popoed upon a geomei model o Phoogammeon. wo em opeaing mode ae diinguihed: he ong eeo mode veu he wea eeo mode. In he ong eeo mode he ee paamee veo i made up o 7 paamee while in he wea eeo mode eah o he le o igh pan-il uni ha i own pan and il angula eedom. A pue phoogammei oluion i a paiula bundle adjumen uing ied onol poin. Howeve he geneal oluion i a paiula Kalman ileing whih build on op o he bundle adjumen bu eend o eploiing he oninui and dnami o em moion. he heo popoed hee i quie geneal bu an aual implemenaion ha o ae ino aoun he aual phial uue and onol mehanim o he Phoogammeon em. hi wo wa ponoed b he Naional Naual iene Foundaion poje No eniled Inelligen Phoogammeon o hina. EFEENE Kalman.E A new appoah o linea ileing and pediion poblem. anaion o he AME Jounal o Bai Engineeing Mah 196pp Pan H.P. 22. onep and iniial deign o inelligen eeo Phoogammeon. Jounal o uveing and Mapping aeped o appea Beijing in hinee wih Englih aba. Wang Piniple o Phoogamme wih emoe ening. Publihing Houe o uveing and Mapping Beijing. 375

8 IAP VOLUME IV PA 2 OMMIION II i an Aug

Consider a Binary antipodal system which produces data of δ (t)

Consider a Binary antipodal system which produces data of δ (t) Modulaion Polem PSK: (inay Phae-hi keying) Conide a inay anipodal yem whih podue daa o δ ( o + δ ( o inay and epeively. Thi daa i paed o pule haping ile and he oupu o he pule haping ile i muliplied y o(

More information

Add the transfer payments and subtract the total taxes from (1): Using these definitions, the above becomes: The Saving and Investment Equation:

Add the transfer payments and subtract the total taxes from (1): Using these definitions, the above becomes: The Saving and Investment Equation: San Fanio Sae Univei Mihael Ba ECON 30 Fall 06 Poblem e 5 Conumpion-Saving Deiion and Riadian Equivalene. (0 poin. Saving and Invemen equaion. a. Deive he aving and invemen equaion. The fomula fo GDP uing

More information

Molecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8

Molecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8 Molecula Evoluion and hylogeny Baed on: Dubin e al Chape 8. hylogeneic Tee umpion banch inenal node leaf Topology T : bifucaing Leave - N Inenal node N+ N- Lengh { i } fo each banch hylogeneic ee Topology

More information

Millennium Theory Equations Original Copyright 2002 Joseph A. Rybczyk Updated Copyright 2003 Joseph A. Rybczyk Updated March 16, 2006

Millennium Theory Equations Original Copyright 2002 Joseph A. Rybczyk Updated Copyright 2003 Joseph A. Rybczyk Updated March 16, 2006 Millennim heoy Eqaions Oiginal Copyigh 00 Joseph A. Rybzyk Updaed Copyigh 003 Joseph A. Rybzyk Updaed Mah 6, 006 Following is a omplee lis o he Millennim heoy o Relaiviy eqaions: Fo easy eeene, all eqaions

More information

Engineering Accreditation. Heat Transfer Basics. Assessment Results II. Assessment Results. Review Definitions. Outline

Engineering Accreditation. Heat Transfer Basics. Assessment Results II. Assessment Results. Review Definitions. Outline Hea ansfe asis Febua 7, 7 Hea ansfe asis a Caeo Mehanial Engineeing 375 Hea ansfe Febua 7, 7 Engineeing ediaion CSUN has aedied pogams in Civil, Eleial, Manufauing and Mehanial Engineeing Naional aediing

More information

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens

More information

8.1. a) For step response, M input is u ( t) Taking inverse Laplace transform. as α 0. Ideal response, K c. = Kc Mτ D + For ramp response, 8-1

8.1. a) For step response, M input is u ( t) Taking inverse Laplace transform. as α 0. Ideal response, K c. = Kc Mτ D + For ramp response, 8-1 8. a For ep repone, inpu i u, U Y a U α α Y a α α Taking invere Laplae ranform a α e e / α / α A α 0 a δ 0 e / α a δ deal repone, α d Y i Gi U i δ Hene a α 0 a i For ramp repone, inpu i u, U Soluion anual

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V

2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V ME 352 VETS 2. VETS Vecor algebra form he mahemaical foundaion for kinemaic and dnamic. Geomer of moion i a he hear of boh he kinemaic and dnamic of mechanical em. Vecor anali i he imehonored ool for decribing

More information

CROSSTALK ANALYSIS FOR HIGH-PRECISION OPTICAL PICKUP ACTUATOR SYSTEM

CROSSTALK ANALYSIS FOR HIGH-PRECISION OPTICAL PICKUP ACTUATOR SYSTEM Jounal o Theoeial and Applied Inomaion Tehnology h Apil 2. Vol. 5 No. 25-2 JATIT & LLS. All ighs eseved. ISSN: 992-8645 www.jai.og E-ISSN: 87-95 CROSSTALK ANALYSIS FOR HIGH-PRECISION OPTICAL PICKUP ACTUATOR

More information

Final Exam. Tuesday, December hours, 30 minutes

Final Exam. Tuesday, December hours, 30 minutes an Faniso ae Univesi Mihael Ba ECON 30 Fall 04 Final Exam Tuesda, Deembe 6 hous, 30 minues Name: Insuions. This is losed book, losed noes exam.. No alulaos of an kind ae allowed. 3. how all he alulaions.

More information

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Fundamenal Jounal of Mahemaical Phsics Vol 3 Issue 013 Pages 55-6 Published online a hp://wwwfdincom/ MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Univesias

More information

An Automatic Door Sensor Using Image Processing

An Automatic Door Sensor Using Image Processing An Auomaic Doo Senso Using Image Pocessing Depamen o Elecical and Eleconic Engineeing Faculy o Engineeing Tooi Univesiy MENDEL 2004 -Insiue o Auomaion and Compue Science- in BRNO CZECH REPUBLIC 1. Inoducion

More information

Physics 2001/2051 Moments of Inertia Experiment 1

Physics 2001/2051 Moments of Inertia Experiment 1 Physics 001/051 Momens o Ineia Expeimen 1 Pelab 1 Read he ollowing backgound/seup and ensue you ae amilia wih he heoy equied o he expeimen. Please also ill in he missing equaions 5, 7 and 9. Backgound/Seup

More information

Control Systems -- Final Exam (Spring 2006)

Control Systems -- Final Exam (Spring 2006) 6.5 Conrol Syem -- Final Eam (Spring 6 There are 5 prolem (inluding onu prolem oal poin. (p Given wo marie: (6 Compue A A e e. (6 For he differenial equaion [ ] ; y u A wih ( u( wha i y( for >? (8 For

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES In igid body kinemaics, we use he elaionships govening he displacemen, velociy and acceleaion, bu mus also accoun fo he oaional moion of he body. Descipion of he moion of igid

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

Orthotropic Materials

Orthotropic Materials Kapiel 2 Ohoopic Maeials 2. Elasic Sain maix Elasic sains ae elaed o sesses by Hooke's law, as saed below. The sesssain elaionship is in each maeial poin fomulaed in he local caesian coodinae sysem. ε

More information

Control Volume Derivation

Control Volume Derivation School of eospace Engineeing Conol Volume -1 Copyigh 1 by Jey M. Seizman. ll ighs esee. Conol Volume Deiaion How o cone ou elaionships fo a close sysem (conol mass) o an open sysem (conol olume) Fo mass

More information

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series IAENG Inenaional Jounal of Applied Mahemaic, 4:, IJAM_4 7 Degee of Appoximaion of a Cla of Funcion by C, E, q Mean of Fouie Seie Hae Kihna Nigam and Kuum Shama Abac In hi pape, fo he fi ime, we inoduce

More information

7 Wave Equation in Higher Dimensions

7 Wave Equation in Higher Dimensions 7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,

More information

Relative Positioning Method of Using Single-frequency Model for Formation Flying Missions

Relative Positioning Method of Using Single-frequency Model for Formation Flying Missions Inenaional Induial Infomaic and Compue Engineeing Confeence (IIICEC 205) Relaive Poiioning Mehod of Uing Single-fequency Model fo Fomaion Flying Miion Hanyi Shi, Qizi Huangpeng2,a, Yuanyuan Qiao3,4, Yong

More information

Randomized Perfect Bipartite Matching

Randomized Perfect Bipartite Matching Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for

More information

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN

More information

QUASI-EXTREMUM SCALAR CONTROL FOR INDUCTION TRACTION MOTORS: RESULTS OF SIMULATION. Rodica Feştilă* Vasile Tulbure** Eva Dulf * Clement Feştilă*

QUASI-EXTREMUM SCALAR CONTROL FOR INDUCTION TRACTION MOTORS: RESULTS OF SIMULATION. Rodica Feştilă* Vasile Tulbure** Eva Dulf * Clement Feştilă* QUAI-EXEMUM CALA CONOL FO INDUCION ACION MOO: EUL OF IMULAION odia Feşilă aile ulbue Eva Dulf Cleen Feşilă Depaen of Auoai Conol, ehnial Univeiy of Cluj-Napoa, Fauly of Auoaion and Copue iene, 6-8 Baiiu,

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

Lorentz-Invariant Gravitation Theory

Lorentz-Invariant Gravitation Theory Pepaeie Jounal Apil 6 Volue 7 Iue 6 pp 963 Kyiako, A G, LoenzInvaian Gaviaion Theoy 6 LoenzInvaian Gaviaion Theoy Chape oluion of he Keple pole in he faewok of LIGT Inoduion In peen hape, aed on eul of

More information

Support Vector Machines

Support Vector Machines Suppo Veco Machine CSL 3 ARIFICIAL INELLIGENCE SPRING 4 Suppo Veco Machine O, Kenel Machine Diciminan-baed mehod olean cla boundaie Suppo veco coni of eample cloe o bounday Kenel compue imilaiy beeen eample

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as

More information

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security 1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,

More information

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Discussion Session 2 Constant Acceleration/Relative Motion Week 03 PHYS 100 Dicuion Seion Conan Acceleraion/Relaive Moion Week 03 The Plan Today you will work wih your group explore he idea of reference frame (i.e. relaive moion) and moion wih conan acceleraion. You ll

More information

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103 PHY 7 Eleodnais 9-9:50 AM MWF Olin 0 Plan fo Leue 0: Coninue eading Chap Snhoon adiaion adiaion fo eleon snhoon deies adiaion fo asonoial objes in iula obis 0/05/07 PHY 7 Sping 07 -- Leue 0 0/05/07 PHY

More information

L. Yaroslavsky. Image data fusion. Processing system. Input scene. Output images

L. Yaroslavsky. Image data fusion. Processing system. Input scene. Output images L. Yaolavk Image daa fuion Poceing em Inpu cene Oupu image Muli componen imaging and eoaion model Conide an M componen imaging em and aume ha each image of M componen can be decibed in a domain of a ceain

More information

Algorithms and Data Structures 2011/12 Week 9 Solutions (Tues 15th - Fri 18th Nov)

Algorithms and Data Structures 2011/12 Week 9 Solutions (Tues 15th - Fri 18th Nov) Algorihm and Daa Srucure 2011/ Week Soluion (Tue 15h - Fri 18h No) 1. Queion: e are gien 11/16 / 15/20 8/13 0/ 1/ / 11/1 / / To queion: (a) Find a pair of ube X, Y V uch ha f(x, Y) = f(v X, Y). (b) Find

More information

Determining Well Test Pore Compressibility from Tidal Analysis

Determining Well Test Pore Compressibility from Tidal Analysis Deemining Well Tes Poe omessibiliy om Tidal Analysis Bob Foulse Deision Managemen Ld 9 Abbey See ene Abbas Dohese Dose DT2 7JQ Unied Kingdom Tel: E Mail: +44 (0) 1300 341311 boulse@deisionman.o.uk 1 1

More information

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

KINGS UNIT- I LAPLACE TRANSFORMS

KINGS UNIT- I LAPLACE TRANSFORMS MA5-MATHEMATICS-II KINGS COLLEGE OF ENGINEERING Punalkulam DEPARTMENT OF MATHEMATICS ACADEMIC YEAR - ( Even Semese ) QUESTION BANK SUBJECT CODE: MA5 SUBJECT NAME: MATHEMATICS - II YEAR / SEM: I / II UNIT-

More information

Angular Motion, Speed and Velocity

Angular Motion, Speed and Velocity Add Imporan Angular Moion, Speed and Velociy Page: 163 Noe/Cue Here Angular Moion, Speed and Velociy NGSS Sandard: N/A MA Curriculum Framework (006): 1.1, 1. AP Phyic 1 Learning Objecive: 3.A.1.1, 3.A.1.3

More information

WORK POWER AND ENERGY Consevaive foce a) A foce is said o be consevaive if he wok done by i is independen of pah followed by he body b) Wok done by a consevaive foce fo a closed pah is zeo c) Wok done

More information

MATHEMATICS PAPER 121/2 K.C.S.E QUESTIONS SECTION 1 ( 52 MARKS) 3. Simplify as far as possible, leaving your answer in the form of surd

MATHEMATICS PAPER 121/2 K.C.S.E QUESTIONS SECTION 1 ( 52 MARKS) 3. Simplify as far as possible, leaving your answer in the form of surd f MATHEMATICS PAPER 2/2 K.C.S.E. 998 QUESTIONS CTION ( 52 MARKS) Answe he enie queion in his cion /5. U logaihms o evaluae 55.9 (262.77) e F 2. Simplify he epeson - 2 + 3 Hence solve he equaion - - 2 +

More information

PHYS PRACTICE EXAM 2

PHYS PRACTICE EXAM 2 PHYS 1800 PRACTICE EXAM Pa I Muliple Choice Quesions [ ps each] Diecions: Cicle he one alenaive ha bes complees he saemen o answes he quesion. Unless ohewise saed, assume ideal condiions (no ai esisance,

More information

Primal and Weakly Primal Sub Semi Modules

Primal and Weakly Primal Sub Semi Modules Aein Inenionl Jounl of Conepoy eeh Vol 4 No ; Jnuy 204 Pil nd Wekly Pil ub ei odule lik Bineh ub l hei Depen Jodn Univeiy of iene nd Tehnology Ibid 220 Jodn Ab Le be ouive eiing wih ideniy nd n -ei odule

More information

Addition & Subtraction of Polynomials

Addition & Subtraction of Polynomials Addiion & Sucion of Polynomil Addiion of Polynomil: Adding wo o moe olynomil i imly me of dding like em. The following ocedue hould e ued o dd olynomil 1. Remove enhee if hee e enhee. Add imil em. Wie

More information

Part I. Labor- Leisure Decision (15 pts)

Part I. Labor- Leisure Decision (15 pts) Eon 509 Sping 204 Final Exam S. Paene Pa I. Labo- Leisue Deision (5 ps. Conside he following sai eonom given b he following equaions. Uili ln( H ln( l whee H sands fo he househ f f Poduion: Ah whee f sands

More information

Direct Sequence Spread Spectrum II

Direct Sequence Spread Spectrum II DS-SS II 7. Dire Sequene Spread Speru II ER One igh hink ha DS-SS would have he following drawak. Sine he RF andwidh i ie ha needed for a narrowand PSK ignal a he ae daa rae R, here will e ie a uh noie

More information

EE Control Systems LECTURE 2

EE Control Systems LECTURE 2 Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian

More information

2-d Motion: Constant Acceleration

2-d Motion: Constant Acceleration -d Moion: Consan Acceleaion Kinemaic Equaions o Moion (eco Fom Acceleaion eco (consan eloci eco (uncion o Posiion eco (uncion o The eloci eco and posiion eco ae a uncion o he ime. eloci eco a ime. Posiion

More information

Lecture 22 Electromagnetic Waves

Lecture 22 Electromagnetic Waves Lecue Elecomagneic Waves Pogam: 1. Enegy caied by he wave (Poyning veco).. Maxwell s equaions and Bounday condiions a inefaces. 3. Maeials boundaies: eflecion and efacion. Snell s Law. Quesions you should

More information

Admin MAX FLOW APPLICATIONS. Flow graph/networks. Flow constraints 4/30/13. CS lunch today Grading. in-flow = out-flow for every vertex (except s, t)

Admin MAX FLOW APPLICATIONS. Flow graph/networks. Flow constraints 4/30/13. CS lunch today Grading. in-flow = out-flow for every vertex (except s, t) /0/ dmin lunch oday rading MX LOW PPLIION 0, pring avid Kauchak low graph/nework low nework direced, weighed graph (V, ) poiive edge weigh indicaing he capaciy (generally, aume ineger) conain a ingle ource

More information

EN221 - Fall HW # 7 Solutions

EN221 - Fall HW # 7 Solutions EN221 - Fall2008 - HW # 7 Soluions Pof. Vivek Shenoy 1.) Show ha he fomulae φ v ( φ + φ L)v (1) u v ( u + u L)v (2) can be pu ino he alenaive foms φ φ v v + φv na (3) u u v v + u(v n)a (4) (a) Using v

More information

Chapter 19 Webassign Help Problems

Chapter 19 Webassign Help Problems Chapte 9 Webaign Help Poblem 4 5 6 7 8 9 0 Poblem 4: The pictue fo thi poblem i a bit mileading. They eally jut give you the pictue fo Pat b. So let fix that. Hee i the pictue fo Pat (a): Pat (a) imply

More information

On The Estimation of Two Missing Values in Randomized Complete Block Designs

On The Estimation of Two Missing Values in Randomized Complete Block Designs Mahemaical Theoy and Modeling ISSN 45804 (Pape ISSN 505 (Online Vol.6, No.7, 06 www.iise.og On The Esimaion of Two Missing Values in Randomized Complee Bloc Designs EFFANGA, EFFANGA OKON AND BASSE, E.

More information

Optimization model of water supply networks design

Optimization model of water supply networks design Opimizaion model of wae upply newok deign Pof. d. eng. IOAN SÂRBU Depamen of Building Sevice Poliehnica Univeiy of imioaa Piaa Bieicii, no. 4A, 333 imioaa ROMANIA ioan.abu@c.up.o, Abac: he pape appoache

More information

Circular Motion Problem Solving

Circular Motion Problem Solving iula Motion Poblem Soling Aeleation o a hange in eloity i aued by a net foe: Newton nd Law An objet aeleate when eithe the magnitude o the dietion of the eloity hange We aw in the lat unit that an objet

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Finie Diffeence Mehod fo Odinay Diffeenial Eqaions Afe eading his chape, yo shold be able o. Undesand wha he finie diffeence mehod is and how o se i o solve poblems. Wha is he finie diffeence

More information

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2 156 Thee ae 9 books sacked on a shelf. The hickness of each book is eihe 1 inch o 2 F inches. The heigh of he sack of 9 books is 14 inches. Which sysem of equaions can be used o deemine x, he numbe of

More information

The sudden release of a large amount of energy E into a background fluid of density

The sudden release of a large amount of energy E into a background fluid of density 10 Poin explosion The sudden elease of a lage amoun of enegy E ino a backgound fluid of densiy ceaes a song explosion, chaaceized by a song shock wave (a blas wave ) emanaing fom he poin whee he enegy

More information

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship Laplace Tranform (Lin & DeCarlo: Ch 3) ENSC30 Elecric Circui II The Laplace ranform i an inegral ranformaion. I ranform: f ( ) F( ) ime variable complex variable From Euler > Lagrange > Laplace. Hence,

More information

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts.

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts. Geneating Function In a geneal combinatoial poblem, we have a univee S of object, and we want to count the numbe of object with a cetain popety. Fo example, if S i the et of all gaph, we might want to

More information

DETC DETC2009/DAC-86422

DETC DETC2009/DAC-86422 Poeeding of he ME 009 Inenaional Deign Engineeing Tehnial Confeene & Poeeding of he ME 009 Inenaional Deign Compue Engineeing and Tehnial Infomaion Confeene in Engineeing & Compue Confeene and Infomaion

More information

Relative and Circular Motion

Relative and Circular Motion Relaie and Cicula Moion a) Relaie moion b) Cenipeal acceleaion Mechanics Lecue 3 Slide 1 Mechanics Lecue 3 Slide 2 Time on Video Pelecue Looks like mosly eeyone hee has iewed enie pelecue GOOD! Thank you

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

CYCLOSTATIONARITY-BASED BLIND CLASSIFICATION OF ANALOG AND DIGITAL MODULATIONS

CYCLOSTATIONARITY-BASED BLIND CLASSIFICATION OF ANALOG AND DIGITAL MODULATIONS CYCLOSAIONARIY-BASED BLIND CLASSIFICAION OF ANALOG AND DIGIAL MODULAIONS Oavia A. Dobe Ali Abdi 2 Yehekel Ba-Ne 2 Wei Su 3 Fauly of Eng. Applied Siene Memoial Univeiy of Newfoundl S. John NL AB 3X5 Canada

More information

The Production of Polarization

The Production of Polarization Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview

More information

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can.

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can. 1 Cicula Moion Radians One evoluion is equivalen o 360 0 which is also equivalen o 2π adians. Theefoe we can say ha 360 = 2π adians, 180 = π adians, 90 = π 2 adians. Hence 1 adian = 360 2π Convesions Rule

More information

UT Austin, ECE Department VLSI Design 5. CMOS Gate Characteristics

UT Austin, ECE Department VLSI Design 5. CMOS Gate Characteristics La moule: CMOS Tranior heory Thi moule: DC epone Logic Level an Noie Margin Tranien epone Delay Eimaion Tranior ehavior 1) If he wih of a ranior increae, he curren will ) If he lengh of a ranior increae,

More information

Physics 240: Worksheet 16 Name

Physics 240: Worksheet 16 Name Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,

More information

Inference for A One Way Factorial Experiment. By Ed Stanek and Elaine Puleo

Inference for A One Way Factorial Experiment. By Ed Stanek and Elaine Puleo Infeence fo A One Way Factoial Expeiment By Ed Stanek and Elaine Puleo. Intoduction We develop etimating equation fo Facto Level mean in a completely andomized one way factoial expeiment. Thi development

More information

Docking Operation by Two DOF Dual Arm Planar Cooperative Space Robot

Docking Operation by Two DOF Dual Arm Planar Cooperative Space Robot h Naiona Coneene on Mahine and Mehanim NaCoMM9, NIT, Dugapu, India, Deembe 7-8, 9 NaCoMM-9-HP Doking Opeaion by Two DO Dua m Pana Coopeaie Spae obo Haeh Paoia, P. M. Pahak*, S. C. Jain oboi and Cono aboaoy

More information

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2)

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2) Laplace Tranform Maoud Malek The Laplace ranform i an inegral ranform named in honor of mahemaician and aronomer Pierre-Simon Laplace, who ued he ranform in hi work on probabiliy heory. I i a powerful

More information

8.5 Circles and Lengths of Segments

8.5 Circles and Lengths of Segments LenghofSegmen20052006.nb 1 8.5 Cicle and Lengh of Segmen In hi ecion we will how (and in ome cae pove) ha lengh of chod, ecan, and angen ae elaed in ome nal way. We will look a hee heoem ha ae hee elaionhip

More information

Notes on cointegration of real interest rates and real exchange rates. ρ (2)

Notes on cointegration of real interest rates and real exchange rates. ρ (2) Noe on coinegraion of real inere rae and real exchange rae Charle ngel, Univeriy of Wiconin Le me ar wih he obervaion ha while he lieraure (mo prominenly Meee and Rogoff (988) and dion and Paul (993))

More information

Soviet Rail Network, 1955

Soviet Rail Network, 1955 7.1 Nework Flow Sovie Rail Nework, 19 Reerence: On he hiory o he ranporaion and maximum low problem. lexander Schrijver in Mah Programming, 91: 3, 00. (See Exernal Link ) Maximum Flow and Minimum Cu Max

More information

User s Guide NBC 2005, Structural Commentaries (Part 4 of Division B)

User s Guide NBC 2005, Structural Commentaries (Part 4 of Division B) Ue Guide NBC 2005, Stutual Commentaie (Pat 4 of Diviion B) Eata Iued by the Canadian Commiion on Building and Fie Code The table that follow lit eata that apply to the Ue Guide NBC 2005, Stutual Commentaie

More information

Network Flows: Introduction & Maximum Flow

Network Flows: Introduction & Maximum Flow CSC 373 - lgorihm Deign, nalyi, and Complexiy Summer 2016 Lalla Mouaadid Nework Flow: Inroducion & Maximum Flow We now urn our aenion o anoher powerful algorihmic echnique: Local Search. In a local earch

More information

Low-complexity Algorithms for MIMO Multiplexing Systems

Low-complexity Algorithms for MIMO Multiplexing Systems Low-complexiy Algoihms fo MIMO Muliplexing Sysems Ouline Inoducion QRD-M M algoihm Algoihm I: : o educe he numbe of suviving pahs. Algoihm II: : o educe he numbe of candidaes fo each ansmied signal. :

More information

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow. CSE 202: Deign and Analyi of Algorihm Winer 2013 Problem Se 3 Inrucor: Kamalika Chaudhuri Due on: Tue. Feb 26, 2013 Inrucion For your proof, you may ue any lower bound, algorihm or daa rucure from he ex

More information

Performance Comparison of LCMV-based Space-time 2D Array and Ambiguity Problem

Performance Comparison of LCMV-based Space-time 2D Array and Ambiguity Problem Inernaional journal of cience Commerce and umaniie Volume No 2 No 3 April 204 Performance Comparion of LCMV-baed pace-ime 2D Arra and Ambigui Problem 2 o uan Chang and Jin hinghia Deparmen of Communicaion

More information

On Control Problem Described by Infinite System of First-Order Differential Equations

On Control Problem Described by Infinite System of First-Order Differential Equations Ausalian Jounal of Basic and Applied Sciences 5(): 736-74 ISS 99-878 On Conol Poblem Descibed by Infinie Sysem of Fis-Ode Diffeenial Equaions Gafujan Ibagimov and Abbas Badaaya J'afau Insiue fo Mahemaical

More information

Section 25 Describing Rotational Motion

Section 25 Describing Rotational Motion Section 25 Decibing Rotational Motion What do object do and wh do the do it? We have a ve thoough eplanation in tem of kinematic, foce, eneg and momentum. Thi include Newton thee law of motion and two

More information

Coupled Mass Transport and Reaction in LPCVD Reactors

Coupled Mass Transport and Reaction in LPCVD Reactors ople Ma Tanpo an eaion in LPV eao ile A in B e.g., SiH 4 in H Sepaae eao ino o egion, inaafe & annla b - oniniy Eqn: : onveion-iffion iffion-eaion Eqn Ampion! ile peie i in majo aie ga e.g., H isih 4!

More information

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max ecure 8 7. Sabiliy Analyi For an n dimenional vecor R n, he and he vecor norm are defined a: = T = i n i (7.) I i eay o how ha hee wo norm aify he following relaion: n (7.) If a vecor i ime-dependen, hen

More information

and substitute in to the 1 st period budget constraint b. Derive the utility maximization condition (10 pts)

and substitute in to the 1 st period budget constraint b. Derive the utility maximization condition (10 pts) Eon 50 Sping 06 Midem Examinaion (00 ps S.L. Paene Ovelapping Geneaions Model (50 ps Conside he following he Ovelapping Geneaions model whee people live wo peiods. Eah geneaion has he same numbe of people.

More information

Algorithmic Discrete Mathematics 6. Exercise Sheet

Algorithmic Discrete Mathematics 6. Exercise Sheet Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap

More information

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light Lecue 5 Chape 3 lecomagneic Theo, Phoons, and Ligh Gauss s Gauss s Faada s Ampèe- Mawell s + Loen foce: S C ds ds S C F dl dl q Mawell equaions d d qv A q A J ds ds In mae fields ae defined hough ineacion

More information

Derivation of longitudinal Doppler shift equation between two moving bodies in reference frame at rest

Derivation of longitudinal Doppler shift equation between two moving bodies in reference frame at rest Deriaion o longiudinal Doppler shi equaion beween wo moing bodies in reerene rame a res Masanori Sao Honda Eleronis Co., d., Oyamazuka, Oiwa-ho, Toyohashi, ihi 44-393, Japan E-mail: msao@honda-el.o.jp

More information

Introduction to SLE Lecture Notes

Introduction to SLE Lecture Notes Inroducion o SLE Lecure Noe May 13, 16 - The goal of hi ecion i o find a ufficien condiion of λ for he hull K o be generaed by a imple cure. I urn ou if λ 1 < 4 hen K i generaed by a imple curve. We will

More information

In many engineering and other applications, the. variable) will often depend on several other quantities (independent variables).

In many engineering and other applications, the. variable) will often depend on several other quantities (independent variables). II PARTIAL DIFFERENTIATION FUNCTIONS OF SEVERAL VARIABLES In man engineeing and othe applications, the behaviou o a cetain quantit dependent vaiable will oten depend on seveal othe quantities independent

More information

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic.

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic. Eponenial and Logaihmic Equaions and Popeies of Logaihms Popeies Eponenial a a s = a +s a /a s = a -s (a ) s = a s a b = (ab) Logaihmic log s = log + logs log/s = log - logs log s = s log log a b = loga

More information

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission

More information

Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or

Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or Buckling Buckling of a rucure mean failure due o exceive diplacemen (lo of rucural iffne), and/or lo of abiliy of an equilibrium configuraion of he rucure The rule of humb i ha buckling i conidered a mode

More information

ADAPTIVE BACKSTEPPING CONTROL FOR WIND TURBINES WITH DOUBLY-FED INDUCTION GENERATOR UNDER UNKNOWN PARAMETERS

ADAPTIVE BACKSTEPPING CONTROL FOR WIND TURBINES WITH DOUBLY-FED INDUCTION GENERATOR UNDER UNKNOWN PARAMETERS Jounal of Theoeial and Applied Infomaion Tehnology 5 h Sepembe 6. Vol.9. No. 5-6 JATIT LLS. All igh eeved. ISSN: 99-8645 www.jai.og E-ISSN: 87-95 ADAPTIVE BAKSTEPPING ONTROL FOR WIND TURBINES WITH DOUBLY-FED

More information

Two figures are similar fi gures when they have the same shape but not necessarily the same size.

Two figures are similar fi gures when they have the same shape but not necessarily the same size. NDIN O PIION. o be poficient in math, ou need to ue clea definition in dicuion with othe and in ou own eaoning. imilait and anfomation ential uetion When a figue i tanlated, eflected, otated, o dilated

More information

Let. x y. denote a bivariate time series with zero mean.

Let. x y. denote a bivariate time series with zero mean. Linear Filer Le x y : T denoe a bivariae ime erie wih zero mean. Suppoe ha he ime erie {y : T} i conruced a follow: y a x The ime erie {y : T} i aid o be conruced from {x : T} by mean of a Linear Filer.

More information

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS Mem. Fac. Inegaed As and Sci., Hioshima Univ., Se. IV, Vol. 8 9-33, Dec. 00 ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS YOSHIO AGAOKA *, BYUNG HAK KIM ** AND JIN HYUK CHOI ** *Depamen of Mahemaics, Faculy

More information

Science Advertisement Intergovernmental Panel on Climate Change: The Physical Science Basis 2/3/2007 Physics 253

Science Advertisement Intergovernmental Panel on Climate Change: The Physical Science Basis   2/3/2007 Physics 253 Science Adeisemen Inegoenmenl Pnel on Clime Chnge: The Phsicl Science Bsis hp://www.ipcc.ch/spmfeb7.pdf /3/7 Phsics 53 hp://www.fonews.com/pojecs/pdf/spmfeb7.pdf /3/7 Phsics 53 3 Sus: Uni, Chpe 3 Vecos

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information