STRAIGHT LINES IN LINEAR ARRAY SCANNER IMAGERY

Size: px
Start display at page:

Download "STRAIGHT LINES IN LINEAR ARRAY SCANNER IMAGERY"

Transcription

1 Devn Kelle STRIGHT LINES IN LINER RR SCNNER IMGER mn Hbb, Devn Kelle, ndne smmw Depmen of Cvl nd Envonmenl Engneeng nd Geode Sene The ho Se Unves ISPRS Commsson III KE WRDS: Lne Feues, Lne Snnes, el Tngulon BSTRCT Inesed use of dgl mge hs fled he oppoun o use feues, n ddon o pons, n phoogmme pplons. Sgh lnes e ofen pesen n obje spe, nd po eseh hs foused on nopong sghlne onsns no he bundle djusmen fo fme mge. In hs eseh, we nodue sgh-lne onsn n he bundle djusmen fo lne snnes. lne snne sene s qued usng dffeen geome hn fme mes. sene s omposed of sequene of mges, eh of whh m be slghl shfed gns eh ohe due o slgh hnges n he ssem s jeo. s esul, sgh lnes n obje spe do no ppe s sgh lnes n mge spe. The poposed bundle djusmen onsn ommodes hs dsoon. The undelng pnpl n hs onsn s h he veo fom he pespeve ene o sene pon on sgh-lne feue les on he plne defned b he pespeve ene nd he wo obje pons defnng he sgh lne. Ths onsn ulzes he pespeve nsfomon model fo pon feues n lne snne mge. The poposed ehnque mkes use of sgh-lne feues n obje spe, nd ds n he eove of he eeo oenon pmees s well s ddng o he geome sengh of he bundle djusmen. Ths onsn hs been embedded n bundle djusmen sofwe pplon, developed he ho Se Unves, h models fme nd lne snne mge 1. INTRDUCTIN Mos phoogmme pplons e bsed on he use of dsn pons. These pons e ofen obned hough mesuemens n n nlog o dgl envonmen. Reenl, moe enon hs been dwn o lne feues. Thee e sevel movons fo he ulzon of lne feues n phoogmme: Pons e no s useful s lne feues when omes o hghe level sks suh s obje eognon. uomon of he mp mkng poess s one of he mjo sks n dgl phoogmme nd ogph. I s ese o uomll e lne feues fom he mge he hn dsn pons Kubk, Imges of mn mde envonmen e h wh lne feues. Hbb 1999 dsusses he vous opons fo sgh-lne epesenon n phoogmme pplons. The pm epesenon onsdeons e unqueness nd sngules. In hs eseh, sgh lnes n obje spe e epesened b usng wo pons long he lne. In hs w, he lne segmen s well lolzed n he obje spe. Ths epesenon s ve beuse suh oodnes n be esl nodued o obned fom GIS dbse. Pevous eseh on lne feues n phoogmme hs foused pml on fme mge. Sgh-lne onsns n be nopoed no he bundle djusmen b ulzng he f h he pespeve nsfomon of sgh lne s lso sgh lne. Mkhl nd Weewong 1994 poposed sgh-lne onsn h onsns un veo defnng he obje spe lne, he veo fom he pespeve ene o pon on he obje lne, nd he veo fom he pespeve ene o he mge pon o be opln. In he ppoh, he obje lne s epesened s n nfne lne segmen. Hbb 1999 poposed sgh-lne onsn, whh foes he plne defned b he mge lne o be opln wh he plne defned b he pespeve ene nd wo obje pons defnng he lne. In hs ppoh he obje lne s defned b wo pons, lolzng n spe. These ehnques el on he use of fme mge. 178 Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm.

2 Devn Kelle. BCKGRUND.1. Lne snne mge Wh he nesed use of dgl phoogmme, hee e movons o use dgl mes o fle he uomon of phoogmme sks. To n he sme esoluon s el fme phoogph, K K -D dgl sensos would be neess. Howeve, hs me, he hghes esoluon ommell vlble s 4K 4K. Lne snnes smule -D mges b usng 1-D of sensos openg wh n open shue on movng plfom. Lne snnes hve one o moe 1-D s of CCD sensos n he mge plne. The eleomgne eneg nden upon hese sensos gven me wll onsue n mge. Movemen of he plfom nd/o oon of he lens onfguon wll enble suessve ovege of dffeen es on he gound. sene s defned s sequene of lne snne mges. Dependng on he numbe of 1D-s, he snnng deon nd he elon of he senso wh he flgh deon, one dffeenes beween hee-lne, pushboom nd pnom lne snnes see fgues 1 nd. Flgh Deon Pespeve Cene Pespeve Cene. Fme Cme b. Pushboom Snne Fgue 1: Pespeve geome of fme mes nd pushboom snnes b. Flgh Deon Sn ngle Flgh Deon Pespeve Cene. Thee-lne Snne b. Pnom Lne Snne Fgue : Pespeve geome of hee-lne snnes nd pnom lne snnes b. Pevous eseh The ho Se Unves hs foused on modelng he pespeve geome of lne snnes Hbb nd Beshh, The ollne model used fo fme mge hs been modfed n suh w h s lso vld fo pushboom, hee-lne nd pnom lne snnes. Ths model ommodes he mos genel seno fo lne snnes- pnom lne snnes. Collne models fo he ohe snne Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm. 179

3 18 Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm. 3 pes e esl deved fom hs model, nd mplemened b fng some of he pmees of he pnom model. The pespeve nsfomon model fo pon feues n lne snnes s s follows P P D N N whee D N D N m 1, : mge oodne mesuemen of pon me,, : obje oodnes of pon P, P, : lbed pnpl pon poson nd pnpl dsne of he me , : me dependen elemens of he ombned oon mes,, T T R R κ φ ω α α : sn ngle fo pnom senso me m : mge moon ompenson me,, : me dependen obje oodnes of he pespeve ene.. Sgh-lne onsn fo fme mge Hbb 1999 nodued sgh-lne onsn fo he bundle djusmen wh fme mge. Ths funon onsns he pespeve ene of n mge, he mge lne nd n obje pon h belongs o h lne o be opln. The onsn s mplemened n he followng w. In one mge, wo pons e mesued o defne he obje lne see Fgue 3. The mge nd obje pons e eled b he ollne equons. These pons do no need o be vsble n subsequen mges. In eh subsequen mge, he mge lne s epesened b pol oodnes Eq.. Whh n lso be wen s: The wo pons defnng he obje lne n be pojeed no he mge spe of he h mge b he ollne equons Eq. 4 nd mus ssf he equon of he lne Eq. 3. Fnll, he onsn elng he h mge lne wh n of he pons long he obje lne n be defned s follows. ρ sn os T R λ sn os ρ R T sn os ρ 4 5 Devn Kelle

4 Devn Kelle Hee, λ s gnoed beuse λ. In summ, hee e wo seps o mplemenng hs onsn. Fs, n one mge, he sgh lne s defned b mesung wo pons &B, geneng fou ollne equons Fgue 3. Ne, n eh subsequen ovelppng mge, h lne s defned n ems of pol oodnes- ddng wo ndependen onsn equons fo nd B. I s mpon o noe h n eh ovelppng mge, no moe hn wo ndependen onsn equons n be geneed fo pul lne. PC 1 PC b ρ, B Fgue 3: Geome of he sgh-lne onsn fo fme mge. 3. STRIGHT LINES IN LINER RR SCNNER IMGER The undelng pnpl n he sgh-lne onsn fo lne snne mge s h he veo fom he pespeve ene o sene pon on sgh-lne feue les on he plne defned b he pespeve ene nd he wo obje pons defnng he sgh lne. In obje spe, sgh lnes e o be epesened b wo pons long he lne. The oespondng lne n mge spe wll be epesened s sequene of pons h m no le on sgh lne. Fgue 4: Pespeve geome nd sgh lnes n lne snne mge. s shown n Fgue 4, wo pons n one sene e used o defne sgh lne n obje spe. The obje pon, he oespondng mge pon nd he pespeve ene of he eposue son le on sngle lgh. Theefoe, he genelzed ollne equons Eq. 1 n be ppled o eh of he wo pons defnng he lne. Fo eh mge, he veo fom he pespeve ene o n mge pon long he lne n be defned wh espe o he gound oodne ssem s: p v V 1 R ω, φ, κ 6 p Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm. 181

5 Devn Kelle The mulplon wh he oon m R, nsfoms he veo no he gound oodne ssem. The veo fom he pespeve ene o he fs obje pon long he lne s defned s: 1 v V 1 1 The veo fom he pespeve ene o he seond obje pon long he lne s defned s: v V3 Boh veos Eq. 7 nd 8 e defned wh espe o he gound oodne ssem. 7 8 s llused n Fgue 5, he veos fom he pespeve ene o eh sene pon long he lne should le on he plne h s defned b he pespeve ene nd he wo obje pons defnng he sgh lne. Ths ondon n be fomuled s: v v v V V3 V1 9 P,,, ω, φ, κ, 1, 1, 1,, Fgue 5: Plne defned b wo obje pons nd he pespeve ene. Ths onsn fo sgh lnes n el ngulon s funon of he followng pmees. f 1, 1, 1,,,,,,, ω, φ, κ,, 1 The unknown pmees e he EPs of he mges nd he gound oodnes of he wo pons &B defnng he lne. These wo pons e mesued n one sene. In eh sene h he lne s vsble, he onsn Eq. 9 n be ppled o ll pons mesued long he lne, egdless of whehe o no he defnng pons e vsble. Beuse he EPs hnge fom one pon o he ne, he numbe of ndependen onsns wll equl he numbe of mesued pons long he lne. The gound oodnes of he supplemenl pons long he sgh lne e no deemned dung he bundle djusmen. These mesued pons onl onbue o nese he geome sengh of he djusmen. The onsn n lso be ppled o fme mge. In hs se, onl wo ndependen onsns n be geneed pe mge, due o he f h hee s onl one se of EPs ssoed wh sngle mge. 18 Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm.

6 Devn Kelle 4. EPERIMENTS/RESULTS The poposed sgh-lne onsn n el ngulon hs been esed fo fme, hee-lne nd pnom lne snne mge, usng he MST Mul Senso el Tngulon sofwe, developed he ho Se Unves. The djusmens wee pefomed wh nd whou he sgh-lne onsn, usng e pons n boh ses. The RMS vlues beween he djused nd geode gound oodnes of he e pons e shown n Tbles - 4. n ovevew of he es d onfguons s shown n Tble 1. Numbe of mges Numbe of e lnes Fme mge 1 8 Thee-lne snnes 6 Pnom lne snnes 4 7 Tble 1: Confguon fo bundle djusmen wh pons nd sgh lnes Fo fme mge, he es feld n Fgue 6 ws used o fom blok of welve mges. Egh lnes wee used n he ovelppng e. el ngulon ws pefomed wh nd whou he lne feue onsn. The esuls e shown n Tble. Fgue 6: Tes feld wh equll sped sgnlzed ges S senes wh wo e lnes wee used o es he lgohm fo hee-lne snnes. The s senes wee pued n wo flgh lnes 3 pe flgh lne wh lmos 1% ovelp, nd 6% sdelp. GPS obsevons he eposue sons wee ulzed n he djusmen. The esuls e shown n Tble 3. The onfguon fo pnom lne snne mge s shown n Fgue 7. gn, GPS obsevons he eposue sons wee ulzed n he djusmen. The esuls e shown n Tble 4. Imge Imge 3 Imge 1 Imge 4 Fgue 7: Lou of fou pnom lne snne senes wh seven e lnes. Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm. 183

7 Devn Kelle The followng poessng sengs wee ppled fo ll of he smuled d ses: The heshold σ fo emnng he eon poess ws se o 1.E-7. The ppomons of he e pons wee dspled fom he ul posons b ppome vlues of 1m hozonll nd 1 m vell o vef he djusmen. FRME IMGER Whou lne feues Wh lne feues Rms [m].4.4 Rms [m] Rms z [m] Tble : Rms-vlues of he bundle djusmen of fme mge THREE-LINE SCNNERS Whou lne feues Wh lne feues Rms [m] Rms [m] Rms z [m] Tble 3:Rms-vlues of he bundle djusmen of hee-lne snnes PNRMIC LINER RR SCNNERS Whou lne feues Rms [m] Rms [m] Rms z [m] Tble 4:Rms-vlues of bundle djusmen of pnom lne snnes Wh lne feues s llused n Tble 1, he sgh-lne onsn dd no mpove he RMS vlues n he se of fme mge. Howeve, n he se of lne snne mge, hee ws noeble mpovemen. Wh lne snne mge, mn EPs e nvolved n he djusmen, nd he dded equons onsn he soluon, dng n he deemnon of he EPs. Theefoe, s dvngeous o evlue s mn mge pons long he sgh lne s possble. 5. CNCLUSINS/RECMMENDTINS new ppoh ws developed o hndle obje spe sgh lnes n lne snne mge. Beuse of he nue of lne mes, sgh lnes n obje spe m no ppe s sgh lnes n he pued sene. In he poposed onsn, obje spe lnes e defned b wo pons, whh mus be denfed n les one sene. Usng hs ehnque wh lne snne mge, one ndependen onsn equon s dded o he djusmen fo eh mge pon evlued. The dded onsn equons d n he eove of he mn eeo oenon pmees ssoed wh lne snne mge. I s heefoe dvngeous o evlue s mn mge pons long he sgh lne s possble. Ths onsn s lso vld n he se of fme mge. lso, he nopoon of hs onsn no esng bundle djusmen sofwe s sghfowd. Tesng wh smuled d poved he supeo of hs ehnque ove el ngulon wh dsonneed pons. Reommendons fo fuue wok: Moe esng wh el d. We would lke o use n vlble GIS dbse nd d olleed b eesl moble mppng ssems, e.g. od newoks, o povde onol fo el ngulon. uom eon nd mhng of lne feues fom mge. 184 Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm.

8 Devn Kelle REFERENCES Hbb,., smmw,., M, M., Kelle, D., 1999, Lne Feues n Phoogmme. Depmenl Repo 45, Geode Sene nd Suveng, Depmen of Cvl nd Envonmen Engneeng nd Geode Sene, The ho Se Unves, Columbus, ho. Hbb,. 1999, el Tngulon usng Pon nd Lne Feues. uom Eon of GIS bjes fom Dgl Imge, IPRS Volume 3, p 3-W5 Munh, Sep 8-1. Hbb,., Beshh, B., 1997, Modelng Pnom Lne Snne. Depmenl Repo No. 443, Geode Sene nd Suveng, Depmen of Cvl nd Envonmen Engneeng nd Geode Sene, The ho Se Unves, Columbus, ho. Kubk, K. 1988, Relve nd bsolue enon Bsed on Lne Feues, ISPRS Jounl of Phoogmme nd Remoe Sensng, Volume 46. pp Mkhl, Edwd M., Weewong, Knok, 1994, Feue-Bsed Phoogmme bje Consuon SPRS/CSM nnul Convenon Tehnl Ppes, pp Inenonl hves of Phoogmme nd Remoe Sensng. Vol. III, P B1. msedm. 185

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

HERMITE SERIES SOLUTIONS OF LINEAR FREDHOLM INTEGRAL EQUATIONS

HERMITE SERIES SOLUTIONS OF LINEAR FREDHOLM INTEGRAL EQUATIONS Mhemcl nd Compuonl Applcons, Vol 6, o, pp 97-56, Assocon fo Scenfc Resech ERMITE SERIES SOLUTIOS OF LIEAR FREDOLM ITEGRAL EQUATIOS Slh Ylçınbş nd Müge Angül Depmen of Mhemcs, Fcul of Scence nd As, Cell

More information

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration Mh Csquee Go oe eco nd eco lgeb Dsplcemen nd poson n -D Aege nd nsnneous eloc n -D Aege nd nsnneous cceleon n -D Poecle moon Unfom ccle moon Rele eloc* The componens e he legs of he gh ngle whose hpoenuse

More information

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines Epl equons fo elel petes of syel ouple osp lnes I.M. Bsee Eletons eseh Instute El-h steet, Dokk, o, Egypt Abstt: Epl equons e eve fo the self n utul nutne n ptne fo two syel ouple osp lnes. he obne ptne

More information

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms Poje Repo fo ENCE 74 Feqan Lo May 7 005 Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms. Inodon. Ovevew of he Poje 3. Objeve

More information

MATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER

MATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER MATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER I One M Queston Fnd the unt veto n the deton of Let ˆ ˆ 9 Let & If Ae the vetos & equl? But vetos e not equl sne the oespondng omponents e dstnt e detons

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information

Primary Level and Secondary Level Coordinated Control of Power Systems

Primary Level and Secondary Level Coordinated Control of Power Systems Poeedngs of he 2006 IASM/WSAS Inenonl Confeene on neg & nvonmenl Ssems, Chlkd, Geee, M 80, 2006 (pp249253) Pm Level nd Seond Level Coodned Conol of Powe Ssems.A. ANDROULIDAIS, A.T. ALXANDRIDIS Depmen of

More information

Fast Algorithm for Walsh Hadamard Transform on Sliding Windows

Fast Algorithm for Walsh Hadamard Transform on Sliding Windows Fs Algohm fo Wlsh Hdmd Tnsfom on Sldng Wndows Wnl Oung W.K. Chm Asc Ths ppe poposes fs lgohm fo Wlsh Hdmd Tnsfom on sldng wndows whch cn e used o mplemen pen mchng mos effcenl. The compuonl equemen of

More information

EE 410/510: Electromechanical Systems Chapter 3

EE 410/510: Electromechanical Systems Chapter 3 EE 4/5: Eleomehnl Syem hpe 3 hpe 3. Inoon o Powe Eleon Moelng n Applon of Op. Amp. Powe Amplfe Powe onvee Powe Amp n Anlog onolle Swhng onvee Boo onvee onvee Flyb n Fow onvee eonn n Swhng onvee 5// All

More information

PHY2053 Summer C 2013 Exam 1 Solutions

PHY2053 Summer C 2013 Exam 1 Solutions PHY053 Sue C 03 E Soluon. The foce G on o G G The onl cobnon h e '/ = doubln.. The peed of lh le 8fulon c 86,8 le 60 n 60n h 4h d 4d fonh.80 fulon/ fonh 3. The dnce eled fo he ene p,, 36 (75n h 45 The

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

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

Computer Aided Geometric Design

Computer Aided Geometric Design Copue Aided Geoei Design Geshon Ele, Tehnion sed on ook Cohen, Riesenfeld, & Ele Geshon Ele, Tehnion Definiion 3. The Cile Given poin C in plne nd nue R 0, he ile ih ene C nd dius R is defined s he se

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

Invert and multiply. Fractions express a ratio of two quantities. For example, the fraction

Invert and multiply. Fractions express a ratio of two quantities. For example, the fraction Appendi E: Mnipuling Fions Te ules fo mnipuling fions involve lgei epessions e el e sme s e ules fo mnipuling fions involve numes Te fundmenl ules fo omining nd mnipuling fions e lised elow Te uses of

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 Schrödinger Equation in Spherical Coordinates Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.

More information

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

More information

ME 141. Engineering Mechanics

ME 141. Engineering Mechanics ME 141 Engineeing Mechnics Lecue 13: Kinemics of igid bodies hmd Shhedi Shkil Lecue, ep. of Mechnicl Engg, UET E-mil: sshkil@me.bue.c.bd, shkil6791@gmil.com Websie: eche.bue.c.bd/sshkil Couesy: Veco Mechnics

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2 Joh Rley Novembe ANSWERS O ODD NUMBERED EXERCISES IN CHAPER Seo Eese -: asvy (a) Se y ad y z follows fom asvy ha z Ehe z o z We suppose he lae ad seek a oado he z Se y follows by asvy ha z y Bu hs oads

More information

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

Chapter 4: Motion in Two Dimensions Part-1

Chapter 4: Motion in Two Dimensions Part-1 Lecue 4: Moon n Two Dmensons Chpe 4: Moon n Two Dmensons P- In hs lesson we wll dscuss moon n wo dmensons. In wo dmensons, s necess o use eco noon o descbe phscl qunes wh boh mnude nd decon. In hs chpe,

More information

Physics 201, Lecture 5

Physics 201, Lecture 5 Phsics 1 Lecue 5 Tod s Topics n Moion in D (Chp 4.1-4.3): n D Kinemicl Quniies (sec. 4.1) n D Kinemics wih Consn Acceleion (sec. 4.) n D Pojecile (Sec 4.3) n Epeced fom Peiew: n Displcemen eloci cceleion

More information

() t. () t r () t or v. ( t) () () ( ) = ( ) or ( ) () () () t or dv () () Section 10.4 Motion in Space: Velocity and Acceleration

() t. () t r () t or v. ( t) () () ( ) = ( ) or ( ) () () () t or dv () () Section 10.4 Motion in Space: Velocity and Acceleration Secion 1.4 Moion in Spce: Velociy nd Acceleion We e going o dive lile deepe ino somehing we ve ledy inoduced, nmely () nd (). Discuss wih you neighbo he elionships beween posiion, velociy nd cceleion you

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Circuits 24/08/2010. Question. Question. Practice Questions QV CV. Review Formula s RC R R R V IR ... Charging P IV I R ... E Pt.

Circuits 24/08/2010. Question. Question. Practice Questions QV CV. Review Formula s RC R R R V IR ... Charging P IV I R ... E Pt. 4/08/00 eview Fomul s icuis cice s BL B A B I I I I E...... s n n hging Q Q 0 e... n... Q Q n 0 e Q I I0e Dischging Q U Q A wie mde of bss nd nohe wie mde of silve hve he sme lengh, bu he dimee of he bss

More information

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels nvenon Jounl o Reseh Tehnoloy n nneen & Mnemen JRTM SSN: 455-689 wwwjemom Volume ssue 0 ǁ Ooe 08 ǁ PP 9-45 Cuo uons n he me o onl oeos wh M-ele enels on Qn Chenmn Hou* Ynn Unvesy Jln Ynj 00 ASTRACT: n

More information

Illustrating the space-time coordinates of the events associated with the apparent and the actual position of a light source

Illustrating the space-time coordinates of the events associated with the apparent and the actual position of a light source Illustting the spe-time oointes of the events ssoite with the ppent n the tul position of light soue Benh Rothenstein ), Stefn Popesu ) n Geoge J. Spi 3) ) Politehni Univesity of Timiso, Physis Deptment,

More information

Physics 15 Second Hour Exam

Physics 15 Second Hour Exam hc 5 Second Hou e nwe e Mulle hoce / ole / ole /6 ole / ------------------------------- ol / I ee eone ole lee how ll wo n ode o ecee l ced. I ou oluon e llegle no ced wll e gen.. onde he collon o wo 7.

More information

Investigation of dynamics of the mechatronical comparator

Investigation of dynamics of the mechatronical comparator Invesgon of dnms of e meon ompo A. evčus V. Vees. Svnss A. sps d Depmen of nes Engneeng Vnus Gedmns Ten Unves J. Bsnvčus S. LT- Vnus Lun E-m: evus@gm.om; E-m: vees@me.vgu.; E-m: ss.svnss@me.vgu.; d E-m:.sps@sp.;

More information

Eurasian International Center of Theoretical Physics, Eurasian National University, Astana , Kazakhstan

Eurasian International Center of Theoretical Physics, Eurasian National University, Astana , Kazakhstan Joul o Mhems d sem ee 8 8 87-95 do: 765/59-59/8 D DAVID PUBLIHIG E Loled oluos o he Geeled +-Dmesol Ldu-Lsh Equo Gulgssl ugmov Ao Mul d Zh gdullev Eus Ieol Cee o Theoel Phss Eus ol Uves As 8 Khs As: I

More information

On Fractional Operational Calculus pertaining to the product of H- functions

On Fractional Operational Calculus pertaining to the product of H- functions nenonl eh ounl of Enneen n ehnolo RE e-ssn: 2395-56 Volume: 2 ue: 3 une-25 wwwene -SSN: 2395-72 On Fonl Oeonl Clulu enn o he ou of - funon D VBL Chu, C A 2 Demen of hem, Unve of Rhn, u-3255, n E-ml : vl@hooom

More information

Equations from The Four Principal Kinetic States of Material Bodies. Copyright 2005 Joseph A. Rybczyk

Equations from The Four Principal Kinetic States of Material Bodies. Copyright 2005 Joseph A. Rybczyk Equions fom he Fou Pinipl Kinei Ses of Meil Bodies Copyigh 005 Joseph A. Rybzyk Following is omplee lis of ll of he equions used in o deied in he Fou Pinipl Kinei Ses of Meil Bodies. Eh equion is idenified

More information

( ) ( ) ( ) ( ) ( ) ( ) j ( ) A. b) Theorem

( ) ( ) ( ) ( ) ( ) ( ) j ( ) A. b) Theorem b) Theoe The u of he eco pojecon of eco n ll uull pependcul (n he ene of he cl poduc) decon equl o he eco. ( ) n e e o The pojecon conue he eco coponen of he eco. poof. n e ( ) ( ) ( ) e e e e e e e e

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

10.7 Power and the Poynting Vector Electromagnetic Wave Propagation Power and the Poynting Vector

10.7 Power and the Poynting Vector Electromagnetic Wave Propagation Power and the Poynting Vector L 333 lecmgnec II Chpe 0 lecmgnec W Ppgn Pf. l J. l Khnd Islmc Unves f G leccl ngneeng Depmen 06 0.7 Pwe nd he Pnng Vec neg cn be sped fm ne pn (whee nsme s lced) nhe pn (wh eceve) b mens f M ws. The e

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681 Revew: Trnsforons Trnsforons Modelng rnsforons buld cople odels b posonng (rnsforng sple coponens relve o ech oher ewng rnsforons plcng vrul cer n he world rnsforon fro world coordnes o cer coordnes Perspecve

More information

ESS 265 Spring Quarter 2005 Kinetic Simulations

ESS 265 Spring Quarter 2005 Kinetic Simulations SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.

More information

Chapter I Vector Analysis

Chapter I Vector Analysis . Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw

More information

Stability Analysis for VAR systems. )', a VAR model of order p (VAR(p)) can be written as:

Stability Analysis for VAR systems. )', a VAR model of order p (VAR(p)) can be written as: Sbl Anlss for VAR ssems For se of n me seres vrbles (,,, n ', VAR model of order p (VAR(p n be wren s: ( A + A + + Ap p + u where he A s re (nxn oeffen mres nd u ( u, u,, un ' s n unobservble d zero men

More information

Lecture 5 Single factor design and analysis

Lecture 5 Single factor design and analysis Lectue 5 Sngle fcto desgn nd nlss Completel ndomzed desgn (CRD Completel ndomzed desgn In the desgn of expements, completel ndomzed desgns e fo studng the effects of one pm fcto wthout the need to tke

More information

MCTDH Approach to Strong Field Dynamics

MCTDH Approach to Strong Field Dynamics MCTDH ppoach o Song Feld Dynamcs Suen Sukasyan Thomas Babec and Msha Ivanov Unvesy o Oawa Canada Impeal College ondon UK KITP Sana Babaa. May 8 009 Movaon Song eld dynamcs Role o elecon coelaon Tunnel

More information

Classification of Equations Characteristics

Classification of Equations Characteristics Clssiiion o Eqions Cheisis Consie n elemen o li moing in wo imensionl spe enoe s poin P elow. The ph o P is inie he line. The posiion ile is s so h n inemenl isne long is s. Le he goening eqions e epesene

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Size Reduction of The Transfer Matrix of. Two-Dimensional Ising and Potts Models

Size Reduction of The Transfer Matrix of. Two-Dimensional Ising and Potts Models Publhed n : In. J. Phy. Re. - Sze Reduon of The Tnfe M of To-Denonl Ing nd Po Model M. Ghe nd G. A. Pf - Ao Enegy Ognzon of In Depuy n Nule Fuel Poduon. Tehn IRAN -Chey Depen Tehe Tnng Unvey Tehn In El:

More information

The Shape of the Pair Distribution Function.

The Shape of the Pair Distribution Function. The Shpe of the P Dstbuton Functon. Vlentn Levshov nd.f. Thope Deptment of Phscs & stonom nd Cente fo Fundmentl tels Resech chgn Stte Unvest Sgnfcnt pogess n hgh-esoluton dffcton epements on powde smples

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

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C nx. Dvon o h n wh In h sn o ul sk h n o h x shl u o nnng y h m s s h ol ouon s h num o ssus s h oo nom x s h sonl nom x n s h v x on quy whh s wgh vg o vn n l gns x s. In hs s h o sonl nom xs on h x shl

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

Prerna Tower, Road No 2, Contractors Area, Bistupur, Jamshedpur , Tel (0657) ,

Prerna Tower, Road No 2, Contractors Area, Bistupur, Jamshedpur , Tel (0657) , R Pen Towe Rod No Conttos Ae Bistupu Jmshedpu 8 Tel (67)89 www.penlsses.om IIT JEE themtis Ppe II PART III ATHEATICS SECTION I (Totl ks : ) (Single Coet Answe Type) This setion ontins 8 multiple hoie questions.

More information

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions II The Z Trnsfor Tocs o e covered. Inroducon. The Z rnsfor 3. Z rnsfors of eleenry funcons 4. Proeres nd Theory of rnsfor 5. The nverse rnsfor 6. Z rnsfor for solvng dfference equons II. Inroducon The

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Non-linearity cannot help RFID resist full-disclosure attacks and terrorist fraud attacks

Non-linearity cannot help RFID resist full-disclosure attacks and terrorist fraud attacks SECURITY AND COMMUNICATION NETWORKS Seuy Comm. Newoks 203; 6:490 495 Publshed onlne 27 July 202 n Wley Onlne Lby (wleyonlnelby.om)..40 SPECIAL ISSUE PAPER Non-lney nno help RFID ess full-dslosue ks nd

More information

THIS PAGE DECLASSIFIED IAW EO 12958

THIS PAGE DECLASSIFIED IAW EO 12958 THIS PAGE DECLASSIFIED IAW EO 2958 THIS PAGE DECLASSIFIED IAW EO 2958 THIS PAGE DECLASSIFIED IAW E0 2958 S T T T I R F R S T Exhb e 3 9 ( 66 h Bm dn ) c f o 6 8 b o d o L) B C = 6 h oup C L) TO d 8 f f

More information

Lecture 9-3/8/10-14 Spatial Description and Transformation

Lecture 9-3/8/10-14 Spatial Description and Transformation Letue 9-8- tl Deton nd nfomton Homewo No. Due 9. Fme ngement onl. Do not lulte...8..7.8 Otonl et edt hot oof tht = - Homewo No. egned due 9 tud eton.-.. olve oblem:.....7.8. ee lde 6 7. e Mtlb on. f oble.

More information

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof ME6 Dnms, Spng HW Slutn Ke - Pve, gemetll.e. usng wngs sethes n nltll.e. usng equtns n nequltes, tht V then V. Nte: qunttes n l tpee e vets n n egul tpee e sls. Slutn: Let, Then V V V We wnt t pve tht:

More information

A simple 2-D interpolation model for analysis of nonlinear data

A simple 2-D interpolation model for analysis of nonlinear data Vol No - p://oog//n Nl Sn A mpl -D npolon mol o nl o nonln M Zmn Dpmn o Cvl Engnng Fl o nolog n Engnng Yo Unv Yo In; m@ml Rv M ; v Apl ; p M ABSRAC o mnon volm n wg o nonnom o n o po vlon o mnng n o ng

More information

Mathematical Reflections, Issue 5, INEQUALITIES ON RATIOS OF RADII OF TANGENT CIRCLES. Y.N. Aliyev

Mathematical Reflections, Issue 5, INEQUALITIES ON RATIOS OF RADII OF TANGENT CIRCLES. Y.N. Aliyev themtil efletions, Issue 5, 015 INEQULITIES ON TIOS OF DII OF TNGENT ILES YN liev stt Some inequlities involving tios of dii of intenll tngent iles whih inteset the given line in fied points e studied

More information

CHAPTER 5 SPEED CONTROLLER BY SYMMETRIC OPTIMUM APPROXIMATION METHOD

CHAPTER 5 SPEED CONTROLLER BY SYMMETRIC OPTIMUM APPROXIMATION METHOD 8 CAPER 5 SPEED CONROLLER BY SYMMERIC OPIMUM APPROXIMAION MEOD 5. INRODUCION In ode o ex he be pefone fo gven elel hne, he pope degn of he peed nd uen onolle pon. oweve ll dve e pee enve o oe degee. donl

More information

Chapter Linear Regression

Chapter Linear Regression Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use

More information

LECTURE 5. is defined by the position vectors r, 1. and. The displacement vector (from P 1 to P 2 ) is defined through r and 1.

LECTURE 5. is defined by the position vectors r, 1. and. The displacement vector (from P 1 to P 2 ) is defined through r and 1. LECTURE 5 ] DESCRIPTION OF PARTICLE MOTION IN SPACE -The displcemen, veloci nd cceleion in -D moion evel hei veco nue (diecion) houh he cuion h one mus p o hei sin. Thei full veco menin ppes when he picle

More information

Lecture 5. Plane Wave Reflection and Transmission

Lecture 5. Plane Wave Reflection and Transmission Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (

More information

Direct Current Circuits

Direct Current Circuits Eler urren (hrges n Moon) Eler urren () The ne moun of hrge h psses hrough onduor per un me ny pon. urren s defned s: Dre urren rus = dq d Eler urren s mesured n oulom s per seond or mperes. ( = /s) n

More information

Available online Journal of Scientific and Engineering Research, 2017, 4(2): Research Article

Available online   Journal of Scientific and Engineering Research, 2017, 4(2): Research Article Avlble onlne www.jse.com Jonl of Scenfc nd Engneeng Resech, 7, 4():5- Resech Acle SSN: 394-63 CODEN(USA): JSERBR Exc Solons of Qselsc Poblems of Lne Theoy of Vscoelscy nd Nonlne Theoy Vscoelscy fo echnclly

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

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1) Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law

More information

Reinforcement learning

Reinforcement learning CS 75 Mchine Lening Lecue b einfocemen lening Milos Huskech milos@cs.pi.edu 539 Senno Sque einfocemen lening We wn o len conol policy: : X A We see emples of bu oupus e no given Insed of we ge feedbck

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

Chebyshev Polynomial Solution of Nonlinear Fredholm-Volterra Integro- Differential Equations

Chebyshev Polynomial Solution of Nonlinear Fredholm-Volterra Integro- Differential Equations Çny Ünvee Fen-Edeby Füle Jounl of A nd Scence Sy : 5 y 6 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego- Dffeenl Equon Hndn ÇERDİK-YASA nd Ayşegül AKYÜZ-DAŞCIOĞU Abc In h ppe Chebyhev collocon ehod

More information

Homework 5 for BST 631: Statistical Theory I Solutions, 09/21/2006

Homework 5 for BST 631: Statistical Theory I Solutions, 09/21/2006 Homewok 5 fo BST 63: Sisicl Theoy I Soluions, 9//6 Due Time: 5:PM Thusy, on 9/8/6. Polem ( oins). Book olem.8. Soluion: E = x f ( x) = ( x) f ( x) + ( x ) f ( x) = xf ( x) + xf ( x) + f ( x) f ( x) Accoing

More information

The Area of a Triangle

The Area of a Triangle The e of Tingle tkhlid June 1, 015 1 Intodution In this tile we will e disussing the vious methods used fo detemining the e of tingle. Let [X] denote the e of X. Using se nd Height To stt off, the simplest

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Introduction to Robotics (Fag 3480)

Introduction to Robotics (Fag 3480) Intouton to Robot (Fg 8) Vå Robet Woo (Hw Engneeeng n pple Sene-B) Ole Jkob Elle PhD (Mofe fo IFI/UIO) Føtemnuen II Inttutt fo Infomtkk Unvetetet Olo Sekjonlee Teknolog Intevenjonenteet Olo Unvetetkehu

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Supporting information How to concatenate the local attractors of subnetworks in the HPFP

Supporting information How to concatenate the local attractors of subnetworks in the HPFP n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

the king's singers And So It Goes the colour of song Words and Vusic by By Joel LEONARD Arranged by Bob Chilcott

the king's singers And So It Goes the colour of song Words and Vusic by By Joel LEONARD Arranged by Bob Chilcott 085850 SATB div cppell US $25 So Goes Wods nd Vusic by By Joel Anged by Bob Chilco he king's singes L he colou of song A H EXCLUSVELY DSTRBUTED BY LEONARD (Fom The King's Singes 25h Annivesy Jubilee) So

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

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

6.6 The Marquardt Algorithm

6.6 The Marquardt Algorithm 6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent

More information

Electromagnetic waves in vacuum.

Electromagnetic waves in vacuum. leromagne waves n vauum. The dsovery of dsplaemen urrens enals a peular lass of soluons of Maxwell equaons: ravellng waves of eler and magne felds n vauum. In he absene of urrens and harges, he equaons

More information

Class Summary. be functions and f( D) , we define the composition of f with g, denoted g f by

Class Summary. be functions and f( D) , we define the composition of f with g, denoted g f by Clss Summy.5 Eponentil Functions.6 Invese Functions nd Logithms A function f is ule tht ssigns to ech element D ectly one element, clled f( ), in. Fo emple : function not function Given functions f, g:

More information

Mass-Spring Systems Surface Reconstruction

Mass-Spring Systems Surface Reconstruction Mass-Spng Syses Physally-Based Modelng: Mass-Spng Syses M. Ale O. Vasles Mass-Spng Syses Mass-Spng Syses Snake pleenaon: Snake pleenaon: Iage Poessng / Sae Reonson: Iage poessng/ Sae Reonson: Mass-Spng

More information

Abstract. Marcelo Kfoury Muinhos Adviser of Central Bank of Brazil.

Abstract. Marcelo Kfoury Muinhos Adviser of Central Bank of Brazil. Moeonom Coodnon nd Inflon Tgeng n Two-Coun Model Eu Jung Chng Melo Kfou Munho Jonílo Rodolpho Texe Jnu 00 A Th ppe del wh moeonom oodnon nd lzon whn new Kenen fmewok. The dnm emen of wo-oun model mde mulon

More information

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2 Impope Inegls To his poin we hve only consideed inegls f() wih he is of inegion nd b finie nd he inegnd f() bounded (nd in fc coninuous ecep possibly fo finiely mny jump disconinuiies) An inegl hving eihe

More information

An Optimization Model for Empty Container Reposition under Uncertainty

An Optimization Model for Empty Container Reposition under Uncertainty n Omzon Mode o Emy onne Reoson nde neny eodo be n Demen o Mnemen nd enooy QM nd ene de Reee s es nsos Moné nd Mssmo D Fneso Demen o Lnd Enneen nesy o Iy o Zdds Demen o Lnd Enneen nesy o Iy Inodon. onne

More information

Three Dimensional Coordinate Geometry

Three Dimensional Coordinate Geometry HKCWCC dvned evel Pure Mhs. / -D Co-Geomer Three Dimensionl Coordine Geomer. Coordine of Poin in Spe Z XOX, YOY nd ZOZ re he oordine-es. P,, is poin on he oordine plne nd is lled ordered riple. P,, X Y

More information

Numerical Analysis of Freeway Traffic Flow Dynamics under Multiclass Drivers

Numerical Analysis of Freeway Traffic Flow Dynamics under Multiclass Drivers Zuojn Zhu, Gng-len Chng nd Tongqng Wu Numecl Anlyss of Feewy Tffc Flow Dynmcs unde Mulclss Dves Zuojn Zhu, Gng-len Chng nd Tongqng Wu Depmen of Theml Scence nd Enegy Engneeng, Unvesy of Scence nd Technology

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

Uniform Circular Motion

Uniform Circular Motion Unfom Ccul Moton Unfom ccul Moton An object mong t constnt sped n ccle The ntude of the eloct emns constnt The decton of the eloct chnges contnuousl!!!! Snce cceleton s te of chnge of eloct:!! Δ Δt The

More information

NS-IBTS indices calculation procedure

NS-IBTS indices calculation procedure ICES Dt Cente DATRAS 1.1 NS-IBTS indices 2013 DATRAS Pocedue Document NS-IBTS indices clcultion pocedue Contents Genel... 2 I Rw ge dt CA -> Age-length key by RFA fo defined ge nge ALK... 4 II Rw length

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