Sound decay in a rectangular room with specular and diffuse reflecting surfaces
|
|
- Gerard Logan
- 5 years ago
- Views:
Transcription
1 Soun ecay n a recangular room wh pecular an ffue reflecng urface Nkolay Kanev Anreyev Acouc Inue, Mocow, Rua Summary Soun ecay n room uually efne by aborpon an caerng propere of urface In ome cae oun ecay calculaon a raher mple ak Bu n mo problem we eal wh nonunformly aborpon rbuon on he urface, nonffue reflecon, nonergoc room an oher obacle prevenng he exac analycal oluon Smulaon proceure can help u n praccal cae when we nvegae a ceran room here are ome fferen moel for calculaon of ffue oun fel, wherea pecular reflecon can be aken no accoun n a mple way In he preen paper we propoe analycal moel for oun ecay calculaon n a recangular room In h moel oun fel n he room eparae no wo componen Fr componen ecrbng pecular reflece oun fel gven by a um of pecular reflecon Secon componen ecrbng ffuely reflece oun fel a oluon of a fferenal equaon Whou ffue reflecon oun ecay n he room wh nonunformly aborpon rbuon alway nonexponenal If he ffue reflecon coeffcen uffcen hen oun ecay exponenal an cloe o Sabne law Separaon of oun fel no ecular reflece an ffuely reflece componen perm o efne wha of hem omnan Conon uner whch oun ecay manly ecrbe by ffue reflecon can be emae from he moel a well PACS no 4355Br, 4355D Inroucon he reverberaon me generally recognze a he mo mporan acoucal arbue for any kn of room I characerze a oun ecay rae on conon ha a ecay curve aume o be cloe o exponen Many formula have been propoe for precng he reverberaon me [-3] A neceary conon of exence for he reverberaon me ha he oun fel n he encloure ffue an oun ecay cloe o exponen For ha he encloure mu be uffcenly ranomzng [4] Ranomzaon of he oun fel can be prove by he encloure hape or by he roughne of urface In he encloure wh hee propere any nal oun fel become ffue or homogeneou wh me Bu h conon no uffcen for he encloure wh a hgh nonunform rbuon of aborpon Sgnfcan evaon from a pure exponenal ecay law ake place n rongly (c) European Acouc Aocaon chaoc room wh aborpon localze n ceran regon of he room [5] An exreme cae a nonranomzng encloure wh nonunform rbuon of aborpon whou any caerng obacle an urface Boh propere can reul n grea evaon of oun ecay from he exponenal law For example [6] oun energy n a recangular room wh an aborbng celng proporonal o / akng no accoun caerng propere of encloure wall perm o acheve more ranomze oun fel In orer o ecrbe caerng by he urface a ffue reflecon coeffcen uually nrouce I convenen o eparae oun energy no wo componen [4,6] Fr of hem efne by pecular reflece oun energy Secon one efne by caere energy h approach evelope for cae when boh componen are efne by ffue fel an ecay n accorance wh exponenal law [7] Bu n nonranomzng encloure nonexponenal ecay of pecular energy have o be aken no coneraon In h work we coner a nonranomzng encloure by he example of a recangular paralleleppe wh pecular an ffue reflecng urface Fr of all we fn a ecay law for (c) European Acouc Aocaon, ISBN: , ISSN:
2 FORUM ACUSICUM Kanev: Soun ecay n a recangular room 7 June - July, Aalborg wh pecular an ffue reflecng urface energy of pecular reflecon an hen nvegae he nfluence of oun caerng by urface on ecay of oal oun energy Specular reflecng wall Le coner a recangular paralleleppe encloure wh menon L, D, H he begnnng of he coornae yem place n he encloure corner an he axe are rece along he encloure ege a hown n Fgure a Sx wall of he encloure are numerae n he followng way: a number of he wall lyng n he plane z H ; a number of he wall lyng n he plane z ; number of he wall lyng n he plane x L, x, y D, y are 3, 4, 5, 6 repecvely Aborbng propere of he encloure wall are characerze by pecular reflecon coeffcen, where he wall number We aume ha he wall are mooh an o no ffue oun So he aborpon coeffcen of he wall are equal o Inal oun fel n he encloure ffue In accorance wh Kuruff [3] mean ha a any pon n he encloure oun wave are ncen from all recon wh equal neny an ranom phae So a he momen he oun fel a uperpoon of ncoheren plane wave wh equal amplue unformly rbue on he reconal angle an Noe ha he plane wave can be replace by oun ray or oun parcle [4,5] bu he followng compuaon are correc for hem a well Soun energy n he encloure efne a um neny of all wave (or oun parcle) an gven by E A (,, ) co, () 4 where A (,, ) he amplue of he wave propagang n recon eermne by he angle an In orer o nvegae he oun ecay proce we apply he mage room meho [3] he encloure connuouly mrrore a whole a wall Image of he orgnal encloure fll whole pace whou leavng uncovere regon an whou any overlap he paern of he mage encloure n he plane xz hown n Fgure b an connue n a mlar manner n he y -recon perpencular o he rawng plane Inal oun fel mrrore n enre pace a well Fnally, we oban ffue oun fel n all pace wh he ame propere a nal oun fel n he orgnal encloure ha We uppoe ha an nal conon for he mrrore oun fel A (,, ), () In he propoe moel we nee no longer coner reflecon of oun from he wall Each reflecon ubue by he nerecon of he plane conng of he wall mage by he wave ravelng owar he orgnal encloure he ance beween he neghbour mage plane perpencular o he ax x ( y or z ) equal L ( D or H ) Afer any nerecon he wave loe a fracon of neny correponng o he wall aborpon coeffcen Soun energy n he encloure a he momen a) b) Fgure A recangular encloure (a) an mrrore encloure n he plane xz (b) 936 (c) European Acouc Aocaon, ISBN: , ISSN: -3767
3 FORUM ACUSICUM Kanev: Soun ecay n a recangular room 7 June - July, Aalborg wh pecular an ffue reflecng urface efne by he wave pang ance c owar he encloure, where c pee of oun In orer o fn neny reucon of he wave ue o wall aborpon we have o coun he nerecon wh he mage plane For he ake of mplcy we calculae oun energy a he pon (,,), e a he encloure corner he wave wh he reconal angle an ravel ance c n along he ax z n me Along he axe x an y ravel ance c co co an c co n repecvely he number of reflecon n from he wall wh number n me equal, ( c n,, ) n, (3) H 3,4 ( c n,, ) co co, (4) L 5,6 ( c n,, ) co n (5) D Ineny reucon of he wave ue o aborpon on he wall equal 6 n (,, ),, ) exp n (,, ) ln 6 oal oun energy can be foun from equaon by negraon by he angle an 6 n (,, )ln co E e (6) 4 Equaon 6 efne he energy ecay law n he encloure If all wall are aboluely reflecng an her reflecon coeffcen are equal o hen oun energy n he encloure reman conan Le u coner he encloure wh one aborbng wall Suppoe ha an Equaon 6 gve H E ~, c ln H (7) c ln Soun ecay nverely proporonal o me Equaon 7 conce wh Kuruff reul [3] for he mlar encloure Suppoe ha wo nonparallel wall can aborb oun wave If he reflecon coeffcen of he wall are equal, 3 an han from equaon 6 we can fn E 8HL ~, (8) ln ln ( c) 3 for H c ln an L c ln 3 Soun ecay nverely proporonal o quare me Soun energy ecay faer hen n he encloure wh one aborbng wall In general cae all wall can aborb oun wave For, 6 we can fn from Equaon 6 for H ( c ln ), L c ln 3 ) an D c ln 5 ) E ( 4 le l e lh he ( 6 h, (9) c c where ln 5 6, l ln 3 4, D L c h ln H We can ee from equaon 9 ha oun ecay no exponenal uner any aborpon rbuon on he wall Phycal ene of l, an h ha hey characerze exponenal ecay rae of oun propagang along he axe x, y an z repecvely hey epen on boh he ance beween parallel wall an he aborpon coeffcen of hee wall he um n equaon 9 can be eparae no hree umman each of hem ecrbe oun energy ecay along one of he ax Soun propagang along he ax wh maxmal exponenal ecay rae aborbe faer hen along wo oher axe Mnmum exponenal ecay rae eermne oun ecay a If l, h hen he lowe oun ecay along he ax x an he oun energy foun from equaon 9 a l e E () h Comparng equaon 7, 8 an we can ee ha he oun ecay become faer wh ncreang of number of aborbng wall A an example le u coner a recangular encloure wh maxmal menon H an oher menon D 7H, L 5H an nrouce menonle me c H for hree fferen rbuon of he oun aborpon on wall In fr cae all aborpon concenrae on one wall wh he number he aborpon coeffcen of h wall equal 7 In econ cae he aborpon rbue on wo nonparallel wall wh he number an 5 (c) European Acouc Aocaon, ISBN: , ISSN:
4 FORUM ACUSICUM Kanev: Soun ecay n a recangular room 7 June - July, Aalborg wh pecular an ffue reflecng urface her aborpon coeffcen 9 In hr cae he aborpon rbue on hree nonparallel wall whch aborpon coeffcen are equal 6 In all cae he mean value of he aborpon coeffcen are he ame an equal 8 Clacal Sabne law of oun energy ecay gven by cs E( ) exp, () 4V where V he encloure volume an S he area of all wall Decay curve for here aborpon rbuon on he wall calculae by equaon 6 an Sabne ecay curve calculae by equaon are hown n Fgure A we can ee he ecay curve for nonunform aborpon ffer rongly from he exponenal Sabne law Wherea he ecay curve for unform aborpon cloe o he exponen bu oe no conce wh a 3 Scaerng wall In orer o ake no accoun caerng propere of he wall we nrouce a ffue reflecon coeffcen whch efne a he rao of caere oun energy o ncen oun energy I connece wh he aborpon coeffcen an he pecular reflecon coeffcen by () Le u eparae oun energy n he encloure no wo componen Fr componen pecular energy E (), whch eermne by equaon 6 Secon componen ffue energy E (), whch forme by caere energy he nal oun fel efne only by pecular energy, ffue energy equal zero A every reflecon he fracon of ncen energy ranform no ffue energy from pecular energy Aborpon of ffue energy ecrbe by ornary exponenal law, whch correc for ffue oun fel Suppoe ha ffue energy ecay n accorance wh he Sabne law gven by equaon If afer any reflecon from he wall wh he number he wave wh reconal angle an ha energy E (,, ) efne by prevou pecular reflecon, hen before h reflecon pecular energy equal E (,, ) So caere energy urng h reflecon equal E (,, ) A he me nerval from o he number of reflecon from each wall equal n, where n n Accorng o equaon 3-5 n oe no epen on me Increae n ffue energy ue o he wave wh reconal angle an efne by all reflecon n he me nerval (, ) E (,, ) n (, ) E (,, (3) ) oal ncreae of ffue energy gven by negraon by all angle E E ( ), B e n (, )ln n (, ) co (4) In accorance wh he Sabne law ffue energy ecay a e, where 4V cs Reucon of ffue energy a he me nerval equal E E (5) From equaon 4 an 5 we can fn he fferenoal equaon for ffue energy E E, ) e B(, ) (6) wh he nal conon E ( ), (7) 4 Fgure Soun energy ecay n he recangular encloure wh menon H : D : L=:7:5 wh one aborbng wall (), wo aborbng wall (), hree aborbng wall (3) n comparon wh he Sabne law (4) (c) European Acouc Aocaon, ISBN: , ISSN: -3767
5 FORUM ACUSICUM Kanev: Soun ecay n a recangular room 7 June - July, Aalborg wh pecular an ffue reflecng urface where, ) n (, ) ln (, ) (, ) co 4 B n Soluon of equaon 6 an 7 gven by,, ) e E e B(, ) (8), ) oal oun energy n he encloure eermne by a um of equaon 6 an 8 E E E (9) In orer o fn ffue energy a we rewre equaon 9 for pecular energy n he followng way E E l ( l) E e h ( ) e lh E ( h) e l h () an nrouce value characerzng caerng propere of he wall c 3 4 l, L 3 4 c h H c 5 6, D 5 6 From equaon 8 one can fn a l ( ) ( l) E E ( ) e l ( ) E ( ) e h ( h) E ( ) e h () Noe ha equaon no correc f value cloe o l, or h We can ee from equaon ha ffue energy rongly epen on pecular energy In orer o ffue energy preval over pecular energy requre gnfcan value of l,, h an mall aborpon of ffue fel l,, h In he encloure wh menon H : D : L : 7 : 5 conere above uppoe ha only one wall ( ) can aborb oun an aborpon an reflecon coeffcen are equal 7, 3, Four wall caer oun whou aborpon ( , ) he wall wh he number oe no aborb an caer oun, e Fgure 3 how reul of calculaon of pecular energy E () efne by equaon 6, ffue energy E () efne by equaon 8 an oal energy E () efne by equaon 9 for four value of he ffue reflecon coeffcen, 5,, Wh ncreang of caerng on he wall ffue energy ncreae n relaon o pecular energy an he ecay rae of oal energy ncreae a well If he ffue reflecon coeffcen grea enough ( ) ffue energy omnae an he oun ecay law en o he Sabne law When caerng on he wall mall ( 5 ) oal energy efne only by pecular energy an oun caerng equvalen o oun aborpon We ee n Fgure 3 pecular energy an ffue energy are approxmaely equal a Le u emae value of he ffue reflecon coeffcen whch prove he mlar ecay law for boh energe, e E ~ E a n he conere encloure wh one aborbng wall an four caerng wall perpencular o aborbng one he malle exponenal ecay rae of pecular energy componen gven by equaon l cln 3 4 L Becaue of 3 4 he exponenal ecay rae of pecular energy equal l c L n cae of mall caerng he exponenal ecay rae of ffue energy characerze by 4V cs In cae of 3 H ~ L ~ D we can emae V ~ L an S ~ 6L So ~ L c Specular an ffue energe are approxmaely equal f her exponenal ecay rae are approxmaly equal a well l ~ Subung here emaon for l an we can fn he followng conon ~ (3) Equaon (3) allow emang he ffue reflecon coeffcen eenal for gnfcan oun fel ffuon n he encloure For example n a room wh an aborbng celng ffue energy gnfcan n comparon wh pecular energy f he ffue reflecon coeffcen of wall equal or greaer hen - (c) European Acouc Aocaon, ISBN: , ISSN:
6 FORUM ACUSICUM Kanev: Soun ecay n a recangular room 7 June - July, Aalborg wh pecular an ffue reflecng urface E ( ), B E ( ), B E ( ), B E ( ), B Fgure 3 Decay of pecular energy, ffue energy an oal energy n he recangular encloure wh one aborbng wall an four caerng wall for fferen value of he ffue reflecon coeffcen E () ( ), E () ( ), E () ( ), Sabne law ( ) 4 Concluon An analycal moel of oun ecay n a recangular encloure propoe In he moel energy of peculary reflece oun an energy of oun caere by encloure wall are calculae eparaely Decay of pecular energy nonexponenal uner any aborpon rbuon akng no accoun he caerng propere of wall perm o acheve an exponenal ecay law I hown ha uner nonunform aborpon rbuon ffue energy gnfcan f he ffue reflecon coeffcen of he wall cloe o he average aborpon coeffcen Applcaon of he reverberaon me correc only for exponenal ecay Wherea oun ecay n a recangular encloure wh pecular reflecng wall no exponenal So eem ha reverberaon me formula ung only aborpon coeffcen are unjufe n calculaon for recangular encloure an pobly for he encloure wh a poor ranomzng rengh Reference [] WC Sabne: Collece Paper on Acouc Pennula, Lo Alo, CA, 99 [] H Arau-Puchae: An mprove reverberaon formula Acuca 65 (988) 63 8 [3] H Kuruff: Room Acouc Elever Apple Scence, Lonon, 99 [4] WBJoyce: Exac effec of urface roughne on he reverberaon me of a unformly aborbng phercal encloure J Acou Soc Am 64 (978) [5] F Moreange, O Legran, D Sornee: Role of he aborpon rbuon an generalzaon exponenal reverberaon law n chaoc room J Acou Soc Am 94 (993) 54 6 [6] RN Mle: Soun fel n a recangular encloure wh ffuely reflece bounare J Soun Vb 9 (984) 3 6 [7] Hanyu: A heorecal framework for quanavely characerzng oun fel ffuon bae on caerng coeffcen an aborpon coeffcen of wall J Acou Soc Am 8 () (c) European Acouc Aocaon, ISBN: , ISSN: -3767
Cooling of a hot metal forging. , dt dt
Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered
More informationTranscription: Messenger RNA, mrna, is produced and transported to Ribosomes
Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes
More informationH = d d q 1 d d q N d d p 1 d d p N exp
8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d
More informationImplementing a Convolutional Perfectly Matched Layer in a finite-difference code for the simulation of seismic wave propagation in a 3D elastic medium
Implemenng a Conoluonal Perfecl Mache Laer n a fne-fference coe for he mulaon of emc wae propagaon n a 3D elac meum Progre Repor BRGM/RP-559-FR December, 7 Implemenng a Conoluonal Perfecl Mache Laer n
More informationELEC 201 Electric Circuit Analysis I Lecture 9(a) RLC Circuits: Introduction
//6 All le courey of Dr. Gregory J. Mazzaro EE Elecrc rcu Analy I ecure 9(a) rcu: Inroucon THE ITADE, THE MIITAY OEGE OF SOUTH AOINA 7 Moulre Sree, harleon, S 949 V Sere rcu: Analog Dcoery _ 5 Ω pf eq
More informationNONLOCAL BOUNDARY VALUE PROBLEM FOR SECOND ORDER ANTI-PERIODIC NONLINEAR IMPULSIVE q k INTEGRODIFFERENCE EQUATION
Euroean Journal of ahemac an Comuer Scence Vol No 7 ISSN 59-995 NONLOCAL BOUNDARY VALUE PROBLE FOR SECOND ORDER ANTI-PERIODIC NONLINEAR IPULSIVE - INTEGRODIFFERENCE EQUATION Hao Wang Yuhang Zhang ngyang
More informationFX-IR Hybrids Modeling
FX-IR Hybr Moeln Yauum Oajma Mubh UFJ Secure Dervave Reearch Dep. Reearch & Developmen Dvon Senor Manaer oajma-yauum@c.mu.jp Oaka Unvery Workhop December 5 h preenaon repreen he vew o he auhor an oe no
More informationScattering at an Interface: Oblique Incidence
Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may
More informationToday s focus. Bayes rule explained INF Multivariate classification Anne Solberg
Toay focu INF 4300 006 Mulvarae clafcaon Anne Solberg anne@fuono From a -menonal feaure vecor =[, ] T Gven K fferen clae k=, K Compue he probably ha belong o cla k Pk = p kpk/con How houl he mulvarae eny
More information(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function
MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,
More informationGraphene nanoplatelets induced heterogeneous bimodal structural magnesium matrix composites with enhanced mechanical properties
raphene nanoplaele nce heerogeneo bmoal rcral magnem marx compoe wh enhance mechancal propere Shln Xang a, b, Xaojn Wang a, *, anoj pa b, Kn W a, Xaoh H a, ngy Zheng a a School of aeral Scence an ngneerng,
More informationNovel Technique for PID Tuning by Particle Swarm Optimization
vel Technque for PID Tunng by Parcle Swarm Opmzaon *S. Eaer Selvan, Sehu Subramanan, S. Theban Solomon Abrac An aemp ha been mae by ncorporang ome pecal feaure n he convenonal parcle warm opmzaon (PSO)
More informationExample: MOSFET Amplifier Distortion
4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.
More informationSolution 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 informationRandomized 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 informationHigher-order Graph Cuts
Example: Segmenaon Hgher-orer Graph Hroh Ihkawa 石川博 Deparmen of omper Scence & Engneerng Waea Unery 早稲田大学 Boyko&Jolly IV 3 Example: Segmenaon Local moel ex.: Moel of pxel ale for each kn of e Pror moel
More informationOP = OO' + Ut + Vn + Wb. Material We Will Cover Today. Computer Vision Lecture 3. Multi-view Geometry I. Amnon Shashua
Comuer Vson 27 Lecure 3 Mul-vew Geomer I Amnon Shashua Maeral We Wll Cover oa he srucure of 3D->2D rojecon mar omograh Marces A rmer on rojecve geomer of he lane Eolar Geomer an Funamenal Mar ebrew Unvers
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationA Demand System for Input Factors when there are Technological Changes in Production
A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem
More informationSUPPLEMENTARY INFORMATION
UPPLEENTARY INFORATION o:10.1038/naure10874 upplemenary eho Expermen: maeral an meho Proen preparaon. Inner-arm ynen ubpece c, g, f) were olae from he ouer-armle muan of Chlamyomona renhar ran oa1) eenally
More informationOptimal Filtering for Linear Discrete-Time Systems with Single Delayed Measurement
378 Hong-Guo Inernaonal Zhao, Journal Huan-Shu of Conrol, Zhang, Auomaon, Cheng-Hu an Zhang, Syem, an vol. Xn-Mn 6, no. Song 3, pp. 378-385, June 28 Opmal Flerng for Lnear Dcree-me Syem h Sngle Delaye
More informationMATHEMATICAL MODEL OF THYRISTOR INVERTER INCLUDING A SERIES-PARALLEL RESONANT CIRCUIT
78 Avance n Elecrcal an Elecronc Engneerng MATHEMATIA MODE OF THYRISTOR INVERTER INUDING A SERIESPARAE RESONANT IRUIT M. uf, E. Szycha Faculy of Tranpor, Techncal Unvery of Raom, Polan ul. Malczewkego
More informationA. Inventory model. Why are we interested in it? What do we really study in such cases.
Some general yem model.. Inenory model. Why are we nereed n? Wha do we really udy n uch cae. General raegy of machng wo dmlar procee, ay, machng a fa proce wh a low one. We need an nenory or a buffer or
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as
More informationLecture 11: Stereo and Surface Estimation
Lecure : Sereo and Surface Emaon When camera poon have been deermned, ung rucure from moon, we would lke o compue a dene urface model of he cene. In h lecure we wll udy he o called Sereo Problem, where
More informationControl Systems. Mathematical Modeling of Control Systems.
Conrol Syem Mahemacal Modelng of Conrol Syem chbum@eoulech.ac.kr Oulne Mahemacal model and model ype. Tranfer funcon model Syem pole and zero Chbum Lee -Seoulech Conrol Syem Mahemacal Model Model are key
More information6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson
6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen
More information( ) () 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 informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationProblem 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 informationII. Light is a Ray (Geometrical Optics)
II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:
More informationJ i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.
umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal
More informationCHAPTER 5: MULTIVARIATE METHODS
CHAPER 5: MULIVARIAE MEHODS Mulvarae Daa 3 Mulple measuremens (sensors) npus/feaures/arbues: -varae N nsances/observaons/eamples Each row s an eample Each column represens a feaure X a b correspons o he
More informationMotion of Wavepackets in Non-Hermitian. Quantum Mechanics
Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod
More informationChapter Lagrangian Interpolation
Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and
More informationResponse of MDOF systems
Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss
More informationSingle Phase Line Frequency Uncontrolled Rectifiers
Single Phae Line Frequency Unconrolle Recifier Kevin Gaughan 24-Nov-03 Single Phae Unconrolle Recifier 1 Topic Baic operaion an Waveform (nucive Loa) Power Facor Calculaion Supply curren Harmonic an Th
More informationA New Multidisciplinary Design Optimization Method Accounting for Discrete and Continuous Variables under Aleatory and Epistemic Uncertainties
Inernaonal Journal o Compuaonal Inellgence Syem Vol 5 o (February 0 93-0 A ew ulcplnary Degn Opmzaon eho Accounng or Dcree an Connuou Varable uner Aleaory an Epemc Uncerane Hong-Zhong Huang School o echaronc
More informationChapter 9 - The Laplace Transform
Chaper 9 - The Laplace Tranform Selece Soluion. Skech he pole-zero plo an region of convergence (if i exi) for hee ignal. ω [] () 8 (a) x e u = 8 ROC σ ( ) 3 (b) x e co π u ω [] ( ) () (c) x e u e u ROC
More informationGENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim
Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More information12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer
d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen
More informationu(t) Figure 1. Open loop control system
Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference
More informationPerformance Analysis for a Network having Standby Redundant Unit with Waiting in Repair
TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen
More informationNON-HOMOGENEOUS SEMI-MARKOV REWARD PROCESS FOR THE MANAGEMENT OF HEALTH INSURANCE MODELS.
NON-HOOGENEOU EI-AKO EWA POCE FO THE ANAGEENT OF HEATH INUANCE OE. Jacque Janen CEIAF ld Paul Janon 84 e 9 6 Charlero EGIU Fax: 32735877 E-mal: ceaf@elgacom.ne and amondo anca Unverà a apenza parmeno d
More informationSampling Procedure of the Sum of two Binary Markov Process Realizations
Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV
More informationLesson 2 Transmission Lines Fundamentals
Lesson Transmsson Lnes Funamenals 楊尚達 Shang-Da Yang Insue of Phooncs Technologes Deparmen of Elecrcal Engneerng Naonal Tsng Hua Unersy Tawan Sec. -1 Inroucon 1. Why o scuss TX lnes srbue crcus?. Crera
More informatione-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov
June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School
More informationNew Mexico Tech Hyd 510
New Meo eh Hy 5 Hyrology Program Quanave Mehos n Hyrology Noe ha for he sep hange problem,.5, for >. he sep smears over me an, unlke he ffuson problem, he onenraon a he orgn hanges. I s no a bounary onon.
More informationChapter 2 The Derivative Applied Calculus 107. We ll need a rule for finding the derivative of a product so we don t have to multiply everything out.
Chaper The Derivaive Applie Calculus 107 Secion 4: Prouc an Quoien Rules The basic rules will le us ackle simple funcions. Bu wha happens if we nee he erivaive of a combinaion of hese funcions? Eample
More informationChapter 7 AC Power and Three-Phase Circuits
Chaper 7 AC ower and Three-hae Crcu Chaper 7: Oulne eance eacance eal power eacve power ower n AC Crcu ower and Energy Gven nananeou power p, he oal energy w ranferred o a load beween and : w p d The average
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationChapter 8: Response of Linear Systems to Random Inputs
Caper 8: epone of Linear yem o anom Inpu 8- Inroucion 8- nalyi in e ime Domain 8- Mean an Variance Value of yem Oupu 8-4 uocorrelaion Funcion of yem Oupu 8-5 Crocorrelaion beeen Inpu an Oupu 8-6 ample
More informationSSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018
SSRG Inernaonal Journal of Thermal Engneerng (SSRG-IJTE) Volume 4 Iue 1 January o Aprl 18 Opmal Conrol for a Drbued Parameer Syem wh Tme-Delay, Non-Lnear Ung he Numercal Mehod. Applcaon o One- Sded Hea
More informationDesign of Controller for Robot Position Control
eign of Conroller for Robo oiion Conrol Two imporan goal of conrol: 1. Reference inpu racking: The oupu mu follow he reference inpu rajecory a quickly a poible. Se-poin racking: Tracking when he reference
More informationOnline Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading
Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng
More informationTo 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 informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationPARTITION OF HEAT IN 2D FINITE ELEMENT MODEL OF A DISC BRAKE
aca mechanca e auomaca, vol.5 no.(0) PARTITION OF HEAT IN D FINITE ELEMENT MODEL OF A DISC BRAKE Por GRZEŚ * * Ph uen, Kaera Mechan Informay Soowanej, Wyzał Mechanczny, Polechna Bałooca, ul. Weja 45 C,
More informationDiscussion 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 informationTSS = SST + SSE An orthogonal partition of the total SS
ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally
More informationInterpolation and Pulse Shaping
EE345S Real-Time Digial Signal Proceing Lab Spring 2006 Inerpolaion and Pule Shaping Prof. Brian L. Evan Dep. of Elecrical and Compuer Engineering The Univeriy of Texa a Auin Lecure 7 Dicree-o-Coninuou
More informationPattern Classification (III) & Pattern Verification
Preare by Prof. Hu Jang CSE638 --4 CSE638 3. Seech & Language Processng o.5 Paern Classfcaon III & Paern Verfcaon Prof. Hu Jang Dearmen of Comuer Scence an Engneerng York Unversy Moel Parameer Esmaon Maxmum
More informationDelay-Range-Dependent Stability Analysis for Continuous Linear System with Interval Delay
Inernaonal Journal of Emergng Engneerng esearch an echnology Volume 3, Issue 8, Augus 05, PP 70-76 ISSN 349-4395 (Prn) & ISSN 349-4409 (Onlne) Delay-ange-Depenen Sably Analyss for Connuous Lnear Sysem
More informationNumerical 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 informationPhysics 20 Lesson 9H Rotational Kinematics
Phyc 0 Len 9H Ranal Knemac In Len 1 9 we learned abu lnear mn knemac and he relanhp beween dplacemen, velcy, acceleran and me. In h len we wll learn abu ranal knemac. The man derence beween he w ype mn
More informationCHAPTER 4 LAZY KERNEL-DENSITY-BASED CLASSIFICATION USING P-TREES
CHAPTER 4 LAZY KERNEL-DENSITY-BASED CLASSIFICATION USING P-TREES 4.. Inroucon Kernel funcon can be een a he unfyng concep behn many echnque n clafcaon an cluerng. Th chaper nrouce kernel funcon an ecrbe
More informationDrill Bit Hydraulics
Drill i yraulic Aumpion ) Change of preure ue o elevaion i negligible. ) Velociy upream i negligible compare o nozzle. 3) reure ue o fricion i negligible. Δ Δ 8.075 4 E ρvn 0 reure rop acro bi, vn nozzle
More informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More informationELIMINATION OF DOMINATED STRATEGIES AND INESSENTIAL PLAYERS
OPERATIONS RESEARCH AND DECISIONS No. 1 215 DOI: 1.5277/ord1513 Mamoru KANEKO 1 Shuge LIU 1 ELIMINATION OF DOMINATED STRATEGIES AND INESSENTIAL PLAYERS We udy he proce, called he IEDI proce, of eraed elmnaon
More informationThe Impact of Regulations on Brazilian Labor Market Performance
Iner-Amercan Developmen Bank Banco Ineramercano e Dearrollo Lan Amercan Reearch Nework Re e Cenro e Invegacón Reearch Nework Workng paper #R-427 The Impac of Regulaon on Brazlan Labor arke Performance
More informationMultiple Regressions and Correlation Analysis
Mulple Regreon and Correlaon Analy Chaper 4 McGraw-Hll/Irwn Copyrgh 2 y The McGraw-Hll Compane, Inc. All rgh reerved. GOALS. Decre he relaonhp eween everal ndependen varale and a dependen varale ung mulple
More informationNotes 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 informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More informationExistence and Uniqueness Results for Random Impulsive Integro-Differential Equation
Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal
More information6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1
Lecure Noe Fundamenal of Conrol Syem Inrucor: Aoc. Prof. Dr. Huynh Thai Hoang Deparmen of Auomaic Conrol Faculy of Elecrical & Elecronic Engineering Ho Chi Minh Ciy Univeriy of Technology Email: hhoang@hcmu.edu.vn
More informationTHERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)
Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum
More informationHarmonic oscillator approximation
armonc ocllator approxmaton armonc ocllator approxmaton Euaton to be olved We are fndng a mnmum of the functon under the retrcton where W P, P,..., P, Q, Q,..., Q P, P,..., P, Q, Q,..., Q lnwgner functon
More informationIntroduction to Congestion Games
Algorihmic Game Theory, Summer 2017 Inroducion o Congeion Game Lecure 1 (5 page) Inrucor: Thoma Keelheim In hi lecure, we ge o know congeion game, which will be our running example for many concep in game
More informationChapter Three Systems of Linear Differential Equations
Chaper Three Sysems of Linear Differenial Equaions In his chaper we are going o consier sysems of firs orer orinary ifferenial equaions. These are sysems of he form x a x a x a n x n x a x a x a n x n
More informationPhysics 218 Exam 1. with Solutions Fall 2010, Sections Part 1 (15) Part 2 (20) Part 3 (20) Part 4 (20) Bonus (5)
Physics 18 Exam 1 wih Soluions Fall 1, Secions 51-54 Fill ou he informaion below bu o no open he exam unil insruce o o so! Name Signaure Suen ID E-mail Secion # ules of he exam: 1. You have he full class
More informationUNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION
INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he
More informationAppendix H: Rarefaction and extrapolation of Hill numbers for incidence data
Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationBayesian Learning based Negotiation Agents for Supporting Negotiation with Incomplete Information
ayesan Learnng base Negoaon Agens for upporng Negoaon wh Incomplee Informaon Jeonghwan Gwak an Kwang Mong m Absrac An opmal negoaon agen shoul have capably for mamzng s uly even for negoaon wh ncomplee
More informationDensity 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 informationRobust and Accurate Cancer Classification with Gene Expression Profiling
Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem
More informationLecture 11 SVM cont
Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc
More information13.1 Accelerating Objects
13.1 Acceleraing Objec A you learned in Chaper 12, when you are ravelling a a conan peed in a raigh line, you have uniform moion. However, mo objec do no ravel a conan peed in a raigh line o hey do no
More information10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :
. A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one
More informationIB Physics Kinematics Worksheet
IB Physics Kinemaics Workshee Wrie full soluions and noes for muliple choice answers. Do no use a calculaor for muliple choice answers. 1. Which of he following is a correc definiion of average acceleraion?
More informationRevision: June 12, E Main Suite D Pullman, WA (509) Voice and Fax
.: apacors Reson: June, 5 E Man Sue D Pullman, WA 9963 59 334 636 Voce an Fax Oerew We begn our suy of energy sorage elemens wh a scusson of capacors. apacors, lke ressors, are passe wo-ermnal crcu elemens.
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationChapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder
S-. The Method of Steepet cent Chapter. Supplemental Text Materal The method of teepet acent can be derved a follow. Suppoe that we have ft a frtorder model y = β + β x and we wh to ue th model to determne
More informationMultivariable Dynamic Model and Robust Control of a Voltage-Source Converter for Power System Applications
Mularable Dynamc Moel an Robu Conrol of a Volage-Source Conerer for Power Syem Applcaon Ahmareza Tabeh an Reza Iraan Affne Conroller Parameerzaon for Decenralze Conrol Oer Banach Space Mchael Rokowz an
More informationGravity Segmentation of Human Lungs from X-ray Images for Sickness Classification
Gravy Segmenaon of Human Lung from X-ray Image for Sckne Clafcaon Crag Waman and Km Le School of Informaon Scence and Engneerng Unvery of Canberra Unvery Drve, Bruce, ACT-60, Aurala Emal: crag_waman@ece.com,
More information