How!do!humans!combine!sounds!into!an! infinite!number!of!utterances? How!do!they!use!these!utterances!!to! communicate!and!express!meaning?
|
|
- Leo Cross
- 5 years ago
- Views:
Transcription
1 Linguistics How!o!humans!combin!s!into!an! H h bi i infinit!numb!of!uttancs? Supcomputing an Linguistics Kis Hyln Univsity of Luvn RU Quantitativ Lxicology an Vaiational Linguistics Linguistics Linguistics How!o!thy!us!ths!uttancs!!to! H h h p g communicat!an!xpss!? How!os!th!languag!systm!vay! H h l g g btwn!vaitis!of!a!languag?
2 w o w o w o w o w o w o Linguistics How o th languags of th wol iff? h liff Linguistics How is languag implmnt in th bain? i l i i Linguistic Analysis Rvsing th mtapho Taitionally intospctiv mthoology Faily cntly ata ivn linguistics DNA is oftn compa to a book with s an ltts Gammas,ictionais,an Gammas, ictionais, an thois computational pattn pattn tction in lag amounts of lctonic languag ata
3 Rvsing th mtapho LikDNA Lik DNA, languag is full of uniscov pattns an sub languagisfullofuniscovpattnsansub gulaitis,whos an function w o not yt gasp Us of HPC: ata ppocssing Intifying basic lmnts an stuctu fo th i i t t t f th actual pattn analysis aftwas D Amikaans minist van Financiën Githn zal maanag at ajctiv noun pp noun nam vb avb subjct fin.vb av. phas niuw plannn voostlln om bankscto van omitn t bvijn aj noun infinitiv pp at noun, pp noun pat vb ict objct conj ict objct pp. objct vb compl avbial phas of finality Us of HPC: ata ppocssing Intifying basic lmnts an stuctu fo th i i t t t f th actual pattn analysis aftwas D Amikaans minist van Financiën Githn zal maanag at ajctiv noun pp noun nam vb avb subjct fin.vb av. phas niuw plannn voostlln om bankscto van omitn t bvijn aj noun infinitiv pp at noun, pp noun pat vb ict objct conj ict objct pp. objct vb compl avbial phas of finality Us of HPC: ata ppocssing Intifying basic lmnts an stuctu fo th i i t t t f th actual pattn analysis aftwas D Amikaans minist van Financiën Githn zal maanag. at ajctiv noun pp noun nam vb avb subjct fin.vb av. phas niuw plannn voostlln om bankscto van omitn t bvijn aj noun infinitiv pp at noun, pp noun pat vb ict objct conj ict objct pp. objct vb compl avbial phas of finality
4 Us of HPC: ata ppocssing Intifying basic lmnts an stuctu fo th i i t t t f th actual pattn analysis aftwas D Amikaans minist van Financiën Githn zal maanag. at ajctiv noun pp noun nam vb avb subjct fin.vb av. phas niuw plannn voostlln om bankscto van omitn t bvijn aj noun infinitiv pp at noun, pp noun pat vb ict objct conj ict objct pp. objct vb compl avbial phas of finality Us of HPC: ata ppocssing softwa fo matic annotation: a pas Alpino pas fo Dutchpas computationally xtmly havy w pas 7 yas of 6 Blgian nwspaps 15Gso100Ms 1.5G s o 100M s 13 yas of CPU tim!! xcut in paalll on Luvn HPC clust compltinjusta6months complt in just a 6 months Dmoon Luvn HPCon Luvn HPC Application:molling Application: molling PURPOSE intify s with a simila with simila appli.g. in infomation tival HOW? s appaing in simila contxts hav simila s Wo is moll as a vcto of co occu fquis with contxt fatus contxt fatus
5 Application: molling TARGET WORD IN CON E z ochtn voozaakt n z n ongval op Bussl ing n kilomtslang ing n ongval CON FEATURES IN A CON VECTOR A 1x, 1x ochtn, 1x voozakn,... ochtn voozakn Bussls ing ongval ongval ongval va aakt bij n ongval mt n op voo zvn uu voozaakt n ongval n kilomtslang ichting Antwpn
6 ongval s wan btokkn bij ht ongval, at m an tin s ongval ongval ongval
7 ongval ongluk ongluk
8 ongluk ongluk koffi
9 koffi koffi koffi koffi
10 Application: molling Smantic Distanc vctos pojct in in"smantic vcto spac spac" cosin as istanc masu Application: molling Mols iff with spct to thi finition of "contxt" "bag of s" mols: simply s lft an ight of tagt tagt "syntactic" mols: s with a spcific syntactic lation to th tagt Application: molling Bag of s mol D kwispln hon blaft naa ht gjukt misj j Application: molling Syntactic mol D kwispln hon blaft naa ht gjukt misj j kwispln hon blaffn gjukt misj hon misj ajctiv subjct of pp. compl of +ajctiv kwispln blaffn blaffn gjukt hon misj
11 Application: molling Dmo syntactic fatus wok btt fo fining synonyms y but w n... a pas copus...which was pas on th Luvn HPC clust h h matix analysis an similaity calculation is also compuationally havy ll w plan to paalllliz ou algoithms to mak thm suitabl fo us on th sup comput Conclusions Linguistics is bcoming mo an mo a ata ivn sci incas computational pocssing ns p pocssing lag amounts of atai l t f t statistical analysis an pattn mining W a only at th bginning of lag scal computational analyis in most of th humanitisanalyis in most of th humanitis Intfac with supcomput will hav to bcom mo us finly fo futh infomation: kis.hyln@ats.kuluvn.b kuluvn
Chapter 4: Algebra and group presentations
Chapt 4: Algba and goup psntations Matthw Macauly Dpatmnt of Mathmatical Scincs Clmson Univsity http://www.math.clmson.du/~macaul/ Math 4120, Sping 2014 M. Macauly (Clmson) Chapt 4: Algba and goup psntations
More informationThe angle between L and the z-axis is found from
Poblm 6 This is not a ifficult poblm but it is a al pain to tansf it fom pap into Mathca I won't giv it to you on th quiz, but know how to o it fo th xam Poblm 6 S Figu 6 Th magnitu of L is L an th z-componnt
More informationE F. and H v. or A r and F r are dual of each other.
A Duality Thom: Consid th following quations as an xampl = A = F μ ε H A E A = jωa j ωμε A + β A = μ J μ A x y, z = J, y, z 4π E F ( A = jω F j ( F j β H F ωμε F + β F = ε M jβ ε F x, y, z = M, y, z 4π
More informationCOMPSCI 230 Discrete Math Trees March 21, / 22
COMPSCI 230 Dict Math Mach 21, 2017 COMPSCI 230 Dict Math Mach 21, 2017 1 / 22 Ovviw 1 A Simpl Splling Chck Nomnclatu 2 aval Od Dpth-it aval Od Badth-it aval Od COMPSCI 230 Dict Math Mach 21, 2017 2 /
More informationKinetics. Central Force Motion & Space Mechanics
Kintics Cntal Foc Motion & Spac Mcanics Outlin Cntal Foc Motion Obital Mcanics Exampls Cntal-Foc Motion If a paticl tavls un t influnc of a foc tat as a lin of action ict towas a fix point, tn t motion
More informationLoad Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below.
oa Euatons Thoughout all of chapt 4, ou focus s on th machn tslf, thfo w wll only pfom a y smpl tatmnt of th ntwok n o to s a complt mol. W o that h, but alz that w wll tun to ths ssu n Chapt 9. So lt
More informationSchool of Electrical Engineering. Lecture 2: Wire Antennas
School of lctical ngining Lctu : Wi Antnnas Wi antnna It is an antnna which mak us of mtallic wis to poduc a adiation. KT School of lctical ngining www..kth.s Dipol λ/ Th most common adiato: λ Dipol 3λ/
More informationOverview. 1 Recall: continuous-time Markov chains. 2 Transient distribution. 3 Uniformization. 4 Strong and weak bisimulation
Rcall: continuous-tim Makov chains Modling and Vification of Pobabilistic Systms Joost-Pit Katon Lhstuhl fü Infomatik 2 Softwa Modling and Vification Goup http://movs.wth-aachn.d/taching/ws-89/movp8/ Dcmb
More informationComplex Eigenvalues. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB
Pepaed by Vince Zaccone Fo ampus Leaning ssistance Sevices at USB omplex Numbes When solving fo the oots of a quadatic equation, eal solutions can not be found when the disciminant is negative. In these
More informationON SEMANTIC CONCEPT SIMILARITY METHODS
4 ON SEMANTIC CONCEPT SIMILARITY METHODS Lu Yang*, Vinda Bhavsa* and Haold Boly** *Faculty of Comput Scinc, Univsity of Nw Bunswick Fdicton, NB, E3B 5A3, Canada **Institut fo Infomation Tchnology, National
More informationSolid state physics. Lecture 3: chemical bonding. Prof. Dr. U. Pietsch
Solid stat physics Lctu 3: chmical bonding Pof. D. U. Pitsch Elcton chag dnsity distibution fom -ay diffaction data F kp ik dk h k l i Fi H p H; H hkl V a h k l Elctonic chag dnsity of silicon Valnc chag
More informationEE243 Advanced Electromagnetic Theory Lec # 22 Scattering and Diffraction. Reading: Jackson Chapter 10.1, 10.3, lite on both 10.2 and 10.
Appid M Fa 6, Nuuth Lctu # V //6 43 Advancd ctomagntic Thoy Lc # Scatting and Diffaction Scatting Fom Sma Obcts Scatting by Sma Dictic and Mtaic Sphs Coction of Scatts Sphica Wav xpansions Scaa Vcto Rading:
More informationCBSE-XII-2013 EXAMINATION (MATHEMATICS) The value of determinant of skew symmetric matrix of odd order is always equal to zero.
CBSE-XII- EXAMINATION (MATHEMATICS) Cod : 6/ Gnal Instuctions : (i) All qustions a compulso. (ii) Th qustion pap consists of 9 qustions dividd into th sctions A, B and C. Sction A compiss of qustions of
More informationCS-184: Computer Graphics. Today
CS-184: Compute Gaphics Lectue #6: 3D Tansfomations and Rotations Pof. James O Bien Univesity of Califonia, Bekeley V2006-F-06-1.0 Today Tansfomations in 3D Rotations Matices Eule angles Eponential maps
More informationPhysics 111. Lecture 38 (Walker: ) Phase Change Latent Heat. May 6, The Three Basic Phases of Matter. Solid Liquid Gas
Physics 111 Lctu 38 (Walk: 17.4-5) Phas Chang May 6, 2009 Lctu 38 1/26 Th Th Basic Phass of Matt Solid Liquid Gas Squnc of incasing molcul motion (and ngy) Lctu 38 2/26 If a liquid is put into a sald contain
More informationWE LIKE IT! MAPPING IMAGE PREFERENCES ON THE COUNTING GRID
WE LIKE IT! MAPPING IMAGE PREFERENCES ON THE COUNTING GRID P. Lovato 1 A. Pina 2 D.S. Chng 3 C. Sgalin 1 N. Sb 5 M. Cistani 1,4 1 Univsity of Vona, Italy 2 Micosoft Rsach, mon, WA 3 Hankuk Univsity of
More informationand integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform
NANO 70-Nots Chapt -Diactd bams Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio. Idal cystals a iiit this, so th will b som iiitis lii about. Usually, th iiit quatity oly ists
More informationMA 262, Spring 2018, Final exam Version 01 (Green)
MA 262, Spring 218, Final xam Vrsion 1 (Grn) INSTRUCTIONS 1. Switch off your phon upon ntring th xam room. 2. Do not opn th xam booklt until you ar instructd to do so. 3. Bfor you opn th booklt, fill in
More informationGRAVITATION. (d) If a spring balance having frequency f is taken on moon (having g = g / 6) it will have a frequency of (a) 6f (b) f / 6
GVITTION 1. Two satllits and o ound a plant P in cicula obits havin adii 4 and spctivly. If th spd of th satllit is V, th spd of th satllit will b 1 V 6 V 4V V. Th scap vlocity on th sufac of th ath is
More informationPhysics 240: Worksheet 15 Name
Physics 40: Woksht 15 Nam Each of ths poblms inol physics in an acclatd fam of fnc Althouh you mind wants to ty to foc you to wok ths poblms insid th acclatd fnc fam (i.. th so-calld "won way" by som popl),
More informationCircuit Synthesizable Guaranteed Passive Modeling for Multiport Structures
Cicuit Synthesizable Guaanteed Passive Modeling fo Multipot Stuctues Zohaib Mahmood, Luca Daniel Massachusetts Institute of Technology BMAS Septembe-23, 2010 Outline Motivation fo Compact Dynamical Passive
More informationLecture 3.2: Cosets. Matthew Macauley. Department of Mathematical Sciences Clemson University
Lctu 3.2: Costs Matthw Macauly Dpatmnt o Mathmatical Scincs Clmson Univsity http://www.math.clmson.du/~macaul/ Math 4120, Modn Algba M. Macauly (Clmson) Lctu 3.2: Costs Math 4120, Modn Algba 1 / 11 Ovviw
More informationWhat Makes Production System Design Hard?
What Maks Poduction Systm Dsign Had? 1. Things not always wh you want thm whn you want thm wh tanspot and location logistics whn invntoy schduling and poduction planning 2. Rsoucs a lumpy minimum ffctiv
More informationGreat Idea #4: Parallelism. CS 61C: Great Ideas in Computer Architecture. Pipelining Hazards. Agenda. Review of Last Lecture
CS 61C: Gat das i Comput Achitctu Pipliig Hazads Gu Lctu: Jui Hsia 4/12/2013 Spig 2013 Lctu #31 1 Gat da #4: Paalllism Softwa Paalll Rqus Assigd to comput.g. sach Gacia Paalll Thads Assigd to co.g. lookup,
More informationWho is this Great Team? Nickname. Strangest Gift/Friend. Hometown. Best Teacher. Hobby. Travel Destination. 8 G People, Places & Possibilities
Who i thi Gt Tm? Exi Sh th foowing i of infomtion bot of with o tb o tm mt. Yo o not hv to wit n of it own. Yo wi b givn on 5 mint to omih thi tk. Stngt Gift/Fin Niknm Homtown Bt Th Hobb Tv Dtintion Robt
More informationLecture 2: Frequency domain analysis, Phasors. Announcements
EECS 5 SPRING 24, ctu ctu 2: Fquncy domain analyi, Phao EECS 5 Fall 24, ctu 2 Announcmnt Th cou wb it i http://int.c.bkly.du/~5 Today dicuion ction will mt Th Wdnday dicuion ction will mo to Tuday, 5:-6:,
More information8 - GRAVITATION Page 1
8 GAVITATION Pag 1 Intoduction Ptolmy, in scond cntuy, gav gocntic thoy of plantay motion in which th Eath is considd stationay at th cnt of th univs and all th stas and th plants including th Sun volving
More informationCheetah: Fast Graph Kernel Tracking on Dynamic Graphs
Cheetah: Fast Gaph Kenel Tacking on Dynamic Gaphs Pesente: Liangyue Li Joint wok with Hanghang Tong (ASU), Yanghua Xiao (Fudan), Wei Fan (Baidu) 1 Aizona State Univesity Gaphs ae Eveywhee Collaboation
More informationT 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 informationInformation Filtering and Retrieval lecture SS 2007
Infomation Filteing and Retieval lectue SS 7 D. Dominik Kuopka Pof. D. Mathias Weske Repetition: limitations of models without tem intedependency Real Wold usage, poblems appea Mophology? Synonymy? adaptation
More informationCS-184: Computer Graphics. Today. Lecture #5: 3D Transformations and Rotations. Wednesday, September 7, 11. Transformations in 3D Rotations
CS-184: Compute Gaphics Lectue #5: D Tansfomations and Rotations Pof. James O Bien Univesity of Califonia, Bekeley V011-F-05-1.0 Today Tansfomations in D Rotations Matices Eule angles Eponential maps Quatenions
More informationOutline. Thanks to Ian Blockland and Randy Sobie for these slides Lifetimes of Decaying Particles Scattering Cross Sections Fermi s Golden Rule
Outlin Thanks to Ian Blockland and andy obi for ths slids Liftims of Dcaying Particls cattring Cross ctions Frmi s Goldn ul Physics 424 Lctur 12 Pag 1 Obsrvabls want to rlat xprimntal masurmnts to thortical
More informationII.3. DETERMINATION OF THE ELECTRON SPECIFIC CHARGE BY MEANS OF THE MAGNETRON METHOD
II.3. DETEMINTION OF THE ELETON SPEIFI HGE Y MENS OF THE MGNETON METHOD. Wok pupos Th wok pupos is to dtin th atio btwn th absolut alu of th lcton chag and its ass, /, using a dic calld agnton. In this
More informationALPHABET. 0Letter Practice
ALPHABET 0Ltt Pat Ltt Pat - Aa A A A A a a a Cl A s A a a A A Cl a s A a k Aa a Cut ut th ltt s a glu thm th ght st. Catal A Las a 2014 Lau Thms.msthmsstasus.m a a A a A A Ltt Pat - B B B B B Cl B s m
More informationDiffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28
Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of
More informationSUPPLEMENTARY INFORMATION
SUPPLMNTARY INFORMATION. Dtmin th gat inducd bgap cai concntation. Th fild inducd bgap cai concntation in bilay gaphn a indpndntly vaid by contolling th both th top bottom displacmnt lctical filds D t
More informationPeriod vs. Length of a Pendulum
Gaphcal Mtho n Phc Gaph Intptaton an Lnazaton Pat 1: Gaphng Tchnqu In Phc w u a vat of tool nclung wo, quaton, an gaph to mak mol of th moton of objct an th ntacton btwn objct n a tm. Gaph a on of th bt
More informationInstrumentation for Characterization of Nanomaterials (v11) 11. Crystal Potential
Istumtatio o Chaactizatio o Naomatials (v). Cystal Pottial Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio om cystal. Idal cystals a iiit this, so th will b som iiitis lii
More informationDiffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28
Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of
More informationRectification and Depth Computation
Dpatmnt of Comput Engnng Unvst of Cafona at Santa Cuz Rctfcaton an Dpth Computaton CMPE 64: mag Anass an Comput Vson Spng 0 Ha ao 4/6/0 mag cosponncs Dpatmnt of Comput Engnng Unvst of Cafona at Santa Cuz
More informationInformation Retrieval Advanced IR models. Luca Bondi
Advanced IR models Luca Bondi Advanced IR models 2 (LSI) Pobabilistic Latent Semantic Analysis (plsa) Vecto Space Model 3 Stating point: Vecto Space Model Documents and queies epesented as vectos in the
More informationChapter 8: Electron Configurations and Periodicity
Elctron Spin & th Pauli Exclusion Principl Chaptr 8: Elctron Configurations and Priodicity 3 quantum numbrs (n, l, ml) dfin th nrgy, siz, shap, and spatial orintation of ach atomic orbital. To xplain how
More informationQuestion 1: The dipole
Septembe, 08 Conell Univesity, Depatment of Physics PHYS 337, Advance E&M, HW #, due: 9/5/08, :5 AM Question : The dipole Conside a system as discussed in class and shown in Fig.. in Heald & Maion.. Wite
More informationA Heuristic Approach to Detect Feature Interactions in Requirements
A Huistic Appoach to Dtct Fatu Intactions in Rquimnts Maitta Hisl Janin Souquiès Fakultät fü Infomatik LORIA Univsité Nancy2 Univsität Magdbug B.P. 239 Bâtimnt LORIA D-39016 Magdbug, Gmany F-54506 Vandœuv-ls-Nancy,
More informationFourier transforms (Chapter 15) Fourier integrals are generalizations of Fourier series. The series representation
Pof. D. I. Nass Phys57 (T-3) Sptmb 8, 03 Foui_Tansf_phys57_T3 Foui tansfoms (Chapt 5) Foui intgals a gnalizations of Foui sis. Th sis psntation a0 nπx nπx f ( x) = + [ an cos + bn sin ] n = of a function
More informationMerging Uncertain Multi-Version XML Documents
Meging Uncetain Multi-Vesion XML Documents M. Lamine BA, Talel Abdessalem & Piee Senellat ACM DocEng 2013-1st Intenational Wokshop on Document Changes (Floence, Italy) Septembe 10 th, 2013 M. L. Ba, T.
More information11: Echo formation and spatial encoding
11: Echo formation and spatial ncoding 1. What maks th magntic rsonanc signal spatiall dpndnt? 2. How is th position of an R signal idntifid? Slic slction 3. What is cho formation and how is it achivd?
More informationGRAVITATION 4) R. max. 2 ..(1) ...(2)
GAVITATION PVIOUS AMCT QUSTIONS NGINING. A body is pojctd vtically upwads fom th sufac of th ath with a vlocity qual to half th scap vlocity. If is th adius of th ath, maximum hight attaind by th body
More informationMultiple Experts with Binary Features
Multiple Expets with Binay Featues Ye Jin & Lingen Zhang Decembe 9, 2010 1 Intoduction Ou intuition fo the poect comes fom the pape Supevised Leaning fom Multiple Expets: Whom to tust when eveyone lies
More information2011 HSC Mathematics Extension 1 Solutions
0 HSC Mathmatics Etsio Solutios Qustio, (a) A B 9, (b) : 9, P 5 0, 5 5 7, si cos si d d by th quotit ul si (c) 0 si cos si si cos si 0 0 () I u du d u cos d u.du cos (f) f l Now 0 fo all l l fo all Rag
More information2.25 Advanced Fluid Mechanics
MIT Depatment of Mechanical Engineeing.5 Advanced Fluid Mechanics Poblem 6.1 This poblem is fom Advanced Fluid Mechanics Poblems by A.H. Shapio and A.A. Sonin The sketch shows a cicula beaing pad which
More informationThe Hydrogen Atom. Chapter 7
Th Hyog Ato Chapt 7 Hyog ato Th vy fist pobl that Schöig hislf tackl with his w wav quatio Poucig th oh s gy lvls a o! lctic pottial gy still plays a ol i a subatoic lvl btw poto a lcto V 4 Schöig q. fo
More information(, ) which is a positively sloping curve showing (Y,r) for which the money market is in equilibrium. The P = (1.4)
ots lctu Th IS/LM modl fo an opn conomy is basd on a fixd pic lvl (vy sticky pics) and consists of a goods makt and a mony makt. Th goods makt is Y C+ I + G+ X εq (.) E SEK wh ε = is th al xchang at, E
More informationGAUSS PLANETARY EQUATIONS IN A NON-SINGULAR GRAVITATIONAL POTENTIAL
GAUSS PLANETARY EQUATIONS IN A NON-SINGULAR GRAVITATIONAL POTENTIAL Ioannis Iaklis Haanas * and Michal Hany# * Dpatmnt of Physics and Astonomy, Yok Univsity 34 A Pti Scinc Building Noth Yok, Ontaio, M3J-P3,
More informationCS-184: Computer Graphics. Today. Lecture #5: 3D Transformations and Rotations. 05-3DTransformations.key - September 21, 2016
1 CS-184: Compute Gaphics Lectue #5: D Tansfomations and Rotations Pof. James O Bien Univesity of Califonia, Bekeley V016-S-05-1.0 Today Tansfomations in D Rotations Matices Eule angles Eponential maps
More informationGUIDE FOR SUPERVISORS 1. This event runs most efficiently with two to four extra volunteers to help proctor students and grade the student
GUIDE FOR SUPERVISORS 1. This vn uns mos fficinly wih wo o fou xa voluns o hlp poco sudns and gad h sudn scoshs. 2. EVENT PARAMETERS: Th vn supviso will povid scoshs. You will nd o bing a im, pns and pncils
More informationBodo Pareigis. Abstract. category. Because of their noncommutativity quantum groups do not have this
Quantum Goups { Th Functoial Sid Bodo aigis Sptmb 21, 2000 Abstact Quantum goups can b intoducd in vaious ways. W us thi functoial constuction as automophism goups of noncommutativ spacs. This constuction
More informationY 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall
Staning Wav Intrfrnc btwn th incint & rflct wavs Staning wav A string with on n fix on a wall Incint: y, t) Y cos( t ) 1( Y 1 ( ) Y (St th incint wav s phas to b, i.., Y + ral & positiv.) Rflct: y, t)
More informationGRADES OF MODALITY L. F. COBLE
GRADES OF MODALITY L. F. COBLE I. Despite its title, this paper does not deal with what Quine discussed in his "Three Grades o f Modal Involvement" [3]. I t may, however, apply somewhat to the sort of
More informationPH672 WINTER Problem Set #1. Hint: The tight-binding band function for an fcc crystal is [ ] (a) The tight-binding Hamiltonian (8.
PH67 WINTER 5 Poblm St # Mad, hapt, poblm # 6 Hint: Th tight-binding band function fo an fcc cstal is ( U t cos( a / cos( a / cos( a / cos( a / cos( a / cos( a / ε [ ] (a Th tight-binding Hamiltonian (85
More informationPHYS Summer Professor Caillault Homework Solutions
PHYS 1111 - Summe 2007 - Pofesso Caillault Homewok Solutions Chapte 3 13. Pictue the Poblem: The whale dives along a staight line tilted 20.0 below hoizontal fo 150 m as shown in the figue. Stategy: Resolve
More informationThe Research on Syntactic Features in Semantic Role Labeling
23 6 2009 11 J OU RNAL OF CH IN ESE IN FORMA TION PROCESSIN G Vol. 23, No. 6 Nov., 2009 : 100320077 (2009) 0620011208,,,, (, 215006) :,,,( NULL ),,,; CoNLL22005 Shared Task WSJ 77. 54 %78. 75 %F1, : ;;;;
More informationCredits. May Enhanced photo from clipart.com. June Enhanced photo from NASA. July Composite of photos from clipart.com.
04 Cdits All spac photos cam fom NASA wbsit and hav bn nhancd. A dsciption of th photo is givn whn availabl. Imag Cdit: NASA, NOAO, ESA and Th Hubbl Hitag Tam (STScI/AURA) All oth photos w takn fom clipat.com,
More information18.06 Problem Set 4 Solution
8.6 Poblem Set 4 Solution Total: points Section 3.5. Poblem 2: (Recommended) Find the lagest possible numbe of independent vectos among ) ) ) v = v 4 = v 5 = v 6 = v 2 = v 3 =. Solution (4 points): Since
More informationADVANCED SUBSIDIARY (AS) General Certificate of Education Mathematics Assessment Unit F1. assessing. Module FP1: Further Pure Mathematics 1
ADVACED SUBSIDIARY (AS) Geneal Cetificate of Education 15 Mathematics Assessment Unit F1 assessing Module F1: Futhe ue Mathematics 1 [AMF11] WEDESDAY 4 UE, MRIG MAR SCHEME 958.1 F GCE ADVACED/ADVACED SUBSIDIARY
More informationUse precise language and domain-specific vocabulary to inform about or explain the topic. CCSS.ELA-LITERACY.WHST D
Lesson eight What are characteristics of chemical reactions? Science Constructing Explanations, Engaging in Argument and Obtaining, Evaluating, and Communicating Information ENGLISH LANGUAGE ARTS Reading
More informationStudy on the Classification and Stability of Industry-University- Research Symbiosis Phenomenon: Based on the Logistic Model
Jounal of Emging Tnds in Economics and Managmnt Scincs (JETEMS 3 (1: 116-1 Scholalink sach Institut Jounals, 1 (ISS: 141-74 Jounal jtms.scholalinksach.og of Emging Tnds Economics and Managmnt Scincs (JETEMS
More information812 Credit / Debit Adjustment Version: 1.0 Draft
82 Cit / Dbit Ajustmnt Vrsion: 0 Draft Bakr & Taylor, Inc X2V400 Publishr Implmntation Guilin for EDI Cit/Dbit Ajustmnt - 82 82 Cit/Dbit Ajustmnt Functional Group=CD This Draft Stanar for Trial Us contains
More informationθ θ φ EN2210: Continuum Mechanics Homework 2: Polar and Curvilinear Coordinates, Kinematics Solutions 1. The for the vector i , calculate:
EN0: Continm Mchanics Homwok : Pola and Cvilina Coodinats, Kinmatics Soltions School of Engining Bown Univsity x δ. Th fo th vcto i ij xx i j vi = and tnso S ij = + 5 = xk xk, calclat: a. Thi componnts
More informationHomework: Due
hw-.nb: //::9:5: omwok: Du -- Ths st (#7) s du on Wdnsday, //. Th soluton fom Poblm fom th xam s found n th mdtm solutons. ü Sakua Chap : 7,,,, 5. Mbach.. BJ 6. ü Mbach. Th bass stats of angula momntum
More informationThe Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus)
Th Rig of Gc d Lif Rom 5:12-21 (5:12-14, 17 focu) Th Ifluc of O h d ud Adolph H J o ph Smith B i t l m t Fid Idi Gdhi Ci Lu Gu ich N itz y l M d i M ch Nlo h Vig T L M uhmmd B m i o t T Ju Chit w I N h
More informationThe Implementation of the Conditions for the Existence of the Most Specific Generalizations w.r.t. General EL-TBoxes
The Implementation of the Conditions fo the Existence of the Most Specific Genealizations w..t. Geneal EL-TBoxes Adian Nuadiansyah Technische Univesität Desden Supevised by: Anni-Yasmin Tuhan Febuay 12,
More informationc. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f
Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the
More informationGCSE MATHEMATICS FORMULAE SHEET HIGHER TIER
Pythagoas Volume of cone = Theoem c a a + b = c hyp coss section adj b opp length Intenational GCSE MATHEMATICS FORMULAE SHEET HIGHER TIER Cuved suface aea of cone = adj = hyp opp = hyp opp = adj o sin
More informationS U E K E AY S S H A R O N T IM B E R W IN D M A R T Z -PA U L L IN. Carlisle Franklin Springboro. Clearcreek TWP. Middletown. Turtlecreek TWP.
F R A N K L IN M A D IS O N S U E R O B E R T LE IC H T Y A LY C E C H A M B E R L A IN T W IN C R E E K M A R T Z -PA U L L IN C O R A O W E N M E A D O W L A R K W R E N N LA N T IS R E D R O B IN F
More informationu x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula
7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting
More informationESCI 341 Atmospheric Thermodynamics Lesson 16 Pseudoadiabatic Processes Dr. DeCaria
ESCI 34 Atmohi hmoynami on 6 Puoaiabati Po D DCaia fn: Man, A an FE obitaill, 97: A omaion of th uialnt otntial tmatu an th tati ngy, J Atmo Si, 7, 37-39 Btt, AK, 974: Futh ommnt on A omaion of th uialnt
More informationph People Grade Level: basic Duration: minutes Setting: classroom or field site
ph Popl Adaptd from: Whr Ar th Frogs? in Projct WET: Curriculum & Activity Guid. Bozman: Th Watrcours and th Council for Environmntal Education, 1995. ph Grad Lvl: basic Duration: 10 15 minuts Stting:
More informationInstruction Execution
MIPS Piplining Cpt280 D Cuti Nlon Intuction Excution C intuction: x = a + b; Ambly intuction: a a,b,x Stp 1: Stp 2: Stp 3: Stp : Stp 5: Stp 6: Ftch th intuction Dtmin it i an a intuction Ftch th ata a
More informationPropagation of Light About Rapidly Rotating Neutron Stars. Sheldon Campbell University of Alberta
Ppagatin f Light Abut Rapily Rtating Nutn Stas Shln Campbll Univsity f Albta Mtivatin Tlscps a nw pcis nugh t tct thmal spcta fm cmpact stas. What flux is masu by an bsv lking at a apily tating lativistic
More informationFI 3103 Quantum Physics
7//7 FI 33 Quantum Physics Axan A. Iskana Physics of Magntism an Photonics sach oup Institut Tknoogi Banung Schoing Equation in 3D Th Cnta Potntia Hyognic Atom 7//7 Schöing quation in 3D Fo a 3D pobm,
More informationSPECTRAL SEQUENCES: FRIEND OR FOE?
SPECTRAL SEQUENCES: FRIEND OR FOE? RAVI VAKIL Spectal sequences ae a poweful book-keeping tool fo poving things involving complicated commutative diagams. They wee intoduced by Leay in the 94 s at the
More informationA POWER IDENTITY FOR SECOND-ORDER RECURRENT SEQUENCES
A OWER IDENTITY FOR SECOND-ORDER RECURRENT SEQUENCES V. E. Hoggatt,., San ose State College, San ose, Calif. and D. A. Lind, Univesity of Viginia, Chalottesville, V a. 1. INTRODUCTION The following hold
More informationEEO 401 Digital Signal Processing Prof. Mark Fowler
EEO 41 Digital Signal Pocessing Pof. Mak Fowle Note Set #31 Linea Phase FIR Design Optimum Equiipple (Paks-McClellan) Reading: Sect. 1.2.4 1.2.6 of Poakis & Manolakis 1/2 Motivation The window method and
More informationRoadmap. XML Indexing. DataGuide example. DataGuides. Strong DataGuides. Multiple DataGuides for same data. CPS Topics in Database Systems
Roadmap XML Indxing CPS 296.1 Topics in Databas Systms Indx fabric Coopr t al. A Fast Indx for Smistructurd Data. VLDB, 2001 DataGuid Goldman and Widom. DataGuids: Enabling Qury Formulation and Optimization
More informationbiologically-inspired computing lecture 9 Informatics luis rocha 2015 INDIANA UNIVERSITY biologically Inspired computing
luis ocha 25 lectue 9 -inspied luis ocha 25 Sections I485/H4 couse outlook Assignments: 35% Students will complete 4/5 assignments based on algoithms pesented in class Lab meets in I (West) 9 on Lab Wednesdays
More informationRevision MIPS Pipelined Architecture
Rviion MIPS Piplin Achitctu D. Eng. Am T. Abl-Hami ELECT 1002 Sytm-n-a-Chip Dign Sping 2009 MIPS: A "Typical" RISC ISA 32-bit fix fomat intuction (3 fomat) 32 32-bit GPR (R0 contain zo, DP tak pai) 3-a,
More informationFree carriers in materials
Lctu / F cais in matials Mtals n ~ cm -3 Smiconductos n ~ 8... 9 cm -3 Insulatos n < 8 cm -3 φ isolatd atoms a >> a B a B.59-8 cm 3 ϕ ( Zq) q atom spacing a Lctu / "Two atoms two lvls" φ a T splitting
More informationPart I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident
Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao
More informationIn the name of Allah Proton Electromagnetic Form Factors
I th a of Allah Poto Elctoagtc o actos By : Maj Hazav Pof A.A.Rajab Shahoo Uvsty of Tchology Atoc o acto: W cos th tactos of lcto bas wth atos assu to b th gou stats. Th ct lcto ay gt scatt lastcally wth
More informationGeometrical Analysis of the Worm-Spiral Wheel Frontal Gear
Gomtical Analysis of th Wom-Spial Whl Fontal Ga SOFIA TOTOLICI, ICOLAE OACEA, VIRGIL TEODOR, GABRIEL FRUMUSAU Manufactuing Scinc and Engining Dpatmnt, Dunaa d Jos Univsity of Galati, Domnasca st., 8000,
More informationPHYS ,Fall 05, Term Exam #1, Oct., 12, 2005
PHYS1444-,Fall 5, Trm Exam #1, Oct., 1, 5 Nam: Kys 1. circular ring of charg of raius an a total charg Q lis in th x-y plan with its cntr at th origin. small positiv tst charg q is plac at th origin. What
More informationn gativ b ias to phap s 5 Q mou ntd ac oss a 50 Q co-a xial l, i t whn bias no t back-bia s d, so t hat p ow fl ow wi ll not b p ositiv. Th u s, if si
DIOD E AND ITS APPLI AT C I O N: T h diod is a p-t p, y intin s ic, n-typ diod consis ting of a naow lay of p- typ smiconducto and a naow lay of n-typ smiconducto, wi th a thick gion of intins ic o b twn
More informationHelping you learn to save. Pigby s tips and tricks
Hlpg yu lan t av Pigby tip and tick Hlpg vy littl av Pigby ha bn tachg hi find all abut ny and hw t av f what ty want. Tuffl i avg f a nw tappy bubbl d and Pi can t wait t b abl t buy nw il pat. Pigby
More informationLikelihood vs. Information in Aligning Biopolymer Sequences. UCSD Technical Report CS Timothy L. Bailey
Likelihood vs. Infomation in Aligning Biopolyme Sequences UCSD Technical Repot CS93-318 Timothy L. Bailey Depatment of Compute Science and Engineeing Univesity of Califonia, San Diego 1 Febuay, 1993 ABSTRACT:
More informationTriangulating the Real Projective Plane MACIS 07
Tiangulating the Real Pojective Plane Midul Aanjaneya Moniue Teillaud MACIS 07 The Real Pojective Plane V () R P = R {0} / if = λ fo λ R {0} P the shee model The Real Pojective Plane P = R {0} / if = λ
More informationCDS 101: Lecture 7.1 Loop Analysis of Feedback Systems
CDS : Lct 7. Loop Analsis of Fback Sstms Richa M. Ma Goals: Show how to compt clos loop stabilit fom opn loop poptis Dscib th Nqist stabilit cition fo stabilit of fback sstms Dfin gain an phas magin an
More informationWhere k is either given or determined from the data and c is an arbitrary constant.
Exponntial growth and dcay applications W wish to solv an quation that has a drivativ. dy ky k > dx This quation says that th rat of chang of th function is proportional to th function. Th solution is
More informationKernels. ffl A kernel K is a function of two objects, for example, two sentence/tree pairs (x1; y1) and (x2; y2)
Krnls krnl K is a function of two ojcts, for xampl, two sntnc/tr pairs (x1; y1) an (x2; y2) K((x1; y1); (x2; y2)) Intuition: K((x1; y1); (x2; y2)) is a masur of th similarity (x1; y1) twn (x2; y2) an ormally:
More informationMid Year Examination F.4 Mathematics Module 1 (Calculus & Statistics) Suggested Solutions
Mid Ya Eamination 3 F. Matmatics Modul (Calculus & Statistics) Suggstd Solutions Ma pp-: 3 maks - Ma pp- fo ac qustion: mak. - Sam typ of pp- would not b countd twic fom wol pap. - In any cas, no pp maks
More information