Figure 1: Schematic of an SEM [source: ]

Size: px
Start display at page:

Download "Figure 1: Schematic of an SEM [source: ]"

Transcription

1 EECI Course: -9 May 1 by R. Sanfelice Hybri Control Systems Eelco van Horssen E.P.v.Horssen@tue.nl Project: Scanning Electron Microscopy Introuction In Scanning Electron Microscopy (SEM) a (bunle) beam of electrons, guie by an electromagnetic lens system, hits a specimen target (sample). This excites the specimen which can be etecte. The specimen may e.g. reflect the electron, can release seconary electrons or x-rays may be inuce as a result. This varies with the material the specimen consists of. Various etectors can be use to measure the effect. A schematic representation of an SEM is epicte in Figure 1. Figure 1: Schematic of an SEM [source: ] The relation between the original energy of the beam an the effect at the etector level can be use to ientify the material of the specimen at a specific spot. This focus spot is where the electron beam is bunle to a small iameter. The ientification is one by integrating the sensor value, accumulating the etector energy, over a specific time, the well time. This gives a value in the image. In SEM the focus spot is move over the area that is of interest of specimen in a (raster) pattern. This raster pattern is often a line by line sweep. The specimen area is grie, such that each gri area correspons to a in the image. While the focus spot is in a specific area of the gri, the etector value will contribute to the value of the corresponing. During a line sweep, the focus spot flows over the specimen. When it reaches the ege of the area that is of interest, it jumps to the start of the next line. When it reaches the en of the last line it 1

2 returns to the start of the first line. (Note that, in general, lines have an equal number of s, but is not necessarily the case) Note: In general the focus spot is not an ieal point, but is a istribution aroun a center point. This allows for an area of the specimen to be excite, the result of this excitation can be etecte in various ways. Assumptions Ieal focus spot: the location of the focus spot on the specimen is represente by a point on the specimen. (This spot coul correspon to the center of the beam istribution) Ieal bunle size: if the beam sweeps in a straight line from mile of the left ege of the area to the right, it will result in a value that is sufficiently representative of the specimen material in the area. Preetermine scan area: bouns for the focus spot are known

3 System moel A schematic of the system is show in in Figure. Figure : Scanning of a specimen in an SEM The following hybri moel H ( C, F, D, G,*) represents the movement of the focus spot p p p p with position ( xy, ) over the specimen, using a line-by-line raster pattern with non-consistent number of s per line. xs j 1 j n x xs 1 j n vsweep x vsweep x y j n Fp( z, u) y, Gpz, u y, z y, u n j n j j xs j 1 j n xe j 1 j n..., n C ( z, u) : ( z, u) x k x x k, j k, k 1,, p s e D ( z, u) : ( z, u) x x k, j k, k 1,,..., n p e Where, vsweep, an n 1 are the with/height (taken equal), the sweep well spee, an the number of lines in the raster, respectively, which are given constants. The bouns 3

4 (eges of the raster) for the focus spot, x an x, are the start an en positions for each line, s respectively. Each element of the array correspons to a line in the raster, where we have that e e x k x k for each k, such that the scan position lies in the positive quarant. Note that, for a well-efine gri, line k. e x k x k m is an integer value representing the number of s in k The system is a hybri system since state x has nontrivial flow (continuous) an jump (iscrete) ynamics. During a line sweep the system flows in positive x irection. At the en of the line the system jumps to the start of the next line. Note: A counter (iscrete ynamics) coul be ae, but it is not very interesting in this project since it oes not a hybri ynamics (only iscrete). Note: The scanning raster coul be rotate, such that the sweep is both in x an y-irection. This can be solve by a coorinate transformation. Extensions: Varying sweep spees per or line coul be use. The system coul jump at the ege of any an to any new ege. Disturbances may affect the x an y position of the beam uring flow. Disturbances may affect the jump map for the x an y position of the beam. Moeling the set point control system that controls the x an y position of the beam as a negative feeback on the error in the (x,y)-position.

5 linecounter j y position x position Simulations The scans will normally start at the beginning of a line. The system is initialize with initial state z x, y, j xs k, 1, k k for some integer1 k n. If the input u is kept constant, then the solutions of the system, the hybri arcs, are non-trivial, complete an compact. Also they are perioic, since the system will return to the initial state after a fixe perio of time, which epens on the inputs an the scan raster. Simulations of the system for initial conition z x, y, j xs 1,,1 Figure 3, Figure an Figure. Parameters chosen for the simulation are are shown in 1 vsweep well. an a curve pattern for the scanning raster: 7 lines by 1 columns with n 7 the three corner s remove. The simulation horizon is taken to be 1 secons or 1 jumps Figure 3: Trajectories of the states of the system

6 x y x Figure : Position of the focus point of the SEM, starting at the re circle in ark blue an ening at the re cross in ark re after just over one scan perio. The gri squares that have a thick line going through them are the s that are scanne t j Figure : Hybri arc of the x-position of the beam.

7 Analysis The system H satisfies the hybri basic conitions (HBCs): I. C an D are close subsets of n : C is a close line an D is a point in x, for each line number j. The number of lines n is iscrete an finite. The union of a finite number of close sets is finite. II. F is single value, F is continuous an C is in the omain of F. III. G is single value, G is continuous an D is in the omain of G. The trajectories of the system are perioic, this is inherent to the repetitive nature of the scanning proceure. No feeback of position errors is implemente. Therefore isturbances an uncertainties in the ynamics will prouce errors that will propagate in the trajectories of the system, giving a perturbe system H. The beam position may go out of the area of interest an prouce poor scan results. Position error feeback uring flow or position reset uring jumps coul cope with this to minimize the scan error. The feeback coul make perturbe trajectories converge to the nominal trajectory that is moele an simulate in this ocument. The nominal trajectory is then a compact set A, that is stable an locally pre-attractive, for the system H. This implies robustness if H satisfies the HBCs if a well-esigne feeback controller is implemente for the position error. Note that in practice it is very ifficult to measure the beam position without affecting the beam itself. Conclusion In this report it is shown that the scanning of a region of interest of a specimen in Scanning Electron Microscopy can be moele as a hybri ynamical system. The sweeping of the electron beam over the specimen can be escribe by a flow map, the scan area is escribe by a flow set, the movement of the beam to the start of a new line is escribe by a jump map, an the en of a line of s is escribe by a jump set. Simulations show the trajectories of the system, the hybri arc, with flows an jumps. A feeback metho for the error in the beam position, yieling robustness for the case where isturbances or uncertainties are affecting the system, is escribe. Suggestions are mae for useful extensions to the moel, which lie beyon the scope of this ocument. 7

More Raster Line Issues. Bresenham Circles. Once More: 8-Pt Symmetry. Only 1 Octant Needed. Spring 2013 CS5600

More Raster Line Issues. Bresenham Circles. Once More: 8-Pt Symmetry. Only 1 Octant Needed. Spring 2013 CS5600 Spring 03 Lecture Set 3 Bresenham Circles Intro to Computer Graphics From Rich Riesenfel Spring 03 More Raster Line Issues Fat lines with multiple pixel with Symmetric lines n point geometry how shoul

More information

Politehnica University of Timisoara Mobile Computing, Sensors Network and Embedded Systems Laboratory. Testing Techniques

Politehnica University of Timisoara Mobile Computing, Sensors Network and Embedded Systems Laboratory. Testing Techniques Politehnica University of Timisoara Mobile Computing, Sensors Network an Embee Systems Laboratory ing Techniques What is testing? ing is the process of emonstrating that errors are not present. The purpose

More information

Estimating Velocity Fields on a Freeway from Low Resolution Video

Estimating Velocity Fields on a Freeway from Low Resolution Video Estimating Velocity Fiels on a Freeway from Low Resolution Vieo Young Cho Department of Statistics University of California, Berkeley Berkeley, CA 94720-3860 Email: young@stat.berkeley.eu John Rice Department

More information

Fuzzy Learning Variable Admittance Control for Human-Robot Cooperation

Fuzzy Learning Variable Admittance Control for Human-Robot Cooperation Fuzzy Learning ariable Amittance Control for Human-Robot Cooperation Fotios Dimeas an Nikos Aspragathos Abstract This paper presents a metho for variable amittance control in human-robot cooperation tasks,

More information

P. Fua and Y. G. Leclerc. SRI International. 333 Ravenswood Avenue, Menlo Park, CA

P. Fua and Y. G. Leclerc. SRI International. 333 Ravenswood Avenue, Menlo Park, CA Moel Driven Ege Detection P. Fua an Y. G. Leclerc SI International 333 avenswoo Avenue, Menlo Park, CA 9425 (fua@ai.sri.com leclerc@ai.sri.com) Machine Vision an Applications, 3, 199 Abstract Stanar ege

More information

AN INVESTIGATION OF FOCUSING AND ANGULAR TECHNIQUES FOR VOLUMETRIC IMAGES BY USING THE 2D CIRCULAR ULTRASONIC PHASED ARRAY

AN INVESTIGATION OF FOCUSING AND ANGULAR TECHNIQUES FOR VOLUMETRIC IMAGES BY USING THE 2D CIRCULAR ULTRASONIC PHASED ARRAY AN INVESTIGATION OF FOCUSING AND ANGULAR TECHNIQUES FOR VOLUMETRIC IMAGES BY USING THE D CIRCULAR ULTRASONIC PHASED ARRAY S. Monal Lonon South Bank University; Engineering an Design 103 Borough Roa, Lonon

More information

Online Appendix to: Generalizing Database Forensics

Online Appendix to: Generalizing Database Forensics Online Appenix to: Generalizing Database Forensics KYRIACOS E. PAVLOU an RICHARD T. SNODGRASS, University of Arizona This appenix presents a step-by-step iscussion of the forensic analysis protocol that

More information

Comparative Study of Projection/Back-projection Schemes in Cryo-EM Tomography

Comparative Study of Projection/Back-projection Schemes in Cryo-EM Tomography Comparative Stuy of Projection/Back-projection Schemes in Cryo-EM Tomography Yu Liu an Jong Chul Ye Department of BioSystems Korea Avance Institute of Science an Technology, Daejeon, Korea ABSTRACT In

More information

Learning Subproblem Complexities in Distributed Branch and Bound

Learning Subproblem Complexities in Distributed Branch and Bound Learning Subproblem Complexities in Distribute Branch an Boun Lars Otten Department of Computer Science University of California, Irvine lotten@ics.uci.eu Rina Dechter Department of Computer Science University

More information

Bends, Jogs, And Wiggles for Railroad Tracks and Vehicle Guide Ways

Bends, Jogs, And Wiggles for Railroad Tracks and Vehicle Guide Ways Ben, Jogs, An Wiggles for Railroa Tracks an Vehicle Guie Ways Louis T. Klauer Jr., PhD, PE. Work Soft 833 Galer Dr. Newtown Square, PA 19073 lklauer@wsof.com Preprint, June 4, 00 Copyright 00 by Louis

More information

Non-Uniform Sensor Deployment in Mobile Wireless Sensor Networks

Non-Uniform Sensor Deployment in Mobile Wireless Sensor Networks 01 01 01 01 01 00 01 01 Non-Uniform Sensor Deployment in Mobile Wireless Sensor Networks Mihaela Carei, Yinying Yang, an Jie Wu Department of Computer Science an Engineering Floria Atlantic University

More information

Section 19. Thin Prisms

Section 19. Thin Prisms Section 9 Thin Prisms 9- OPTI-50 Optical Design an Instrumentation I opyright 08 John E. Greivenkamp Thin Prism Deviation Thin prisms introuce small angular beam eviations an are useful as alignment evices.

More information

Section 20. Thin Prisms

Section 20. Thin Prisms OPTI-0/0 Geometrical an Instrumental Optics opyright 08 John E. Greivenkamp 0- Section 0 Thin Prisms Thin Prism Deviation Thin prisms introuce small angular beam eviations an are useful as alignment evices.

More information

Tracking and Regulation Control of a Mobile Robot System With Kinematic Disturbances: A Variable Structure-Like Approach

Tracking and Regulation Control of a Mobile Robot System With Kinematic Disturbances: A Variable Structure-Like Approach W. E. Dixon e-mail: wixon@ces.clemson.eu D. M. Dawson e-mail: awson@ces.clemson.eu E. Zergeroglu e-mail: ezerger@ces.clemson.eu Department of Electrical & Computer Engineering, Clemson University, Clemson,

More information

Using Vector and Raster-Based Techniques in Categorical Map Generalization

Using Vector and Raster-Based Techniques in Categorical Map Generalization Thir ICA Workshop on Progress in Automate Map Generalization, Ottawa, 12-14 August 1999 1 Using Vector an Raster-Base Techniques in Categorical Map Generalization Beat Peter an Robert Weibel Department

More information

THE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE

THE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE БСУ Международна конференция - 2 THE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE Evgeniya Nikolova, Veselina Jecheva Burgas Free University Abstract:

More information

A MIMO Fuzzy Controller for tracking: Robot control. Carl Crane Professor, Mechanical Engineering University of Florida Gainesville, FL 32611

A MIMO Fuzzy Controller for tracking: Robot control. Carl Crane Professor, Mechanical Engineering University of Florida Gainesville, FL 32611 A MIMO Fuzzy Controller for tracking: Robot control Paul A.C. Mason Assistant Professor, Kevin Walchko Research Assistant Carl Crane Professor, Mechanical Engineering University of Floria Gainesville,

More information

Local Path Planning with Proximity Sensing for Robot Arm Manipulators. 1. Introduction

Local Path Planning with Proximity Sensing for Robot Arm Manipulators. 1. Introduction Local Path Planning with Proximity Sensing for Robot Arm Manipulators Ewar Cheung an Vlaimir Lumelsky Yale University, Center for Systems Science Department of Electrical Engineering New Haven, Connecticut

More information

Exercises of PIV. incomplete draft, version 0.0. October 2009

Exercises of PIV. incomplete draft, version 0.0. October 2009 Exercises of PIV incomplete raft, version 0.0 October 2009 1 Images Images are signals efine in 2D or 3D omains. They can be vector value (e.g., color images), real (monocromatic images), complex or binary

More information

Computer Organization

Computer Organization Computer Organization Douglas Comer Computer Science Department Purue University 250 N. University Street West Lafayette, IN 47907-2066 http://www.cs.purue.eu/people/comer Copyright 2006. All rights reserve.

More information

State Indexed Policy Search by Dynamic Programming. Abstract. 1. Introduction. 2. System parameterization. Charles DuHadway

State Indexed Policy Search by Dynamic Programming. Abstract. 1. Introduction. 2. System parameterization. Charles DuHadway State Inexe Policy Search by Dynamic Programming Charles DuHaway Yi Gu 5435537 503372 December 4, 2007 Abstract We consier the reinforcement learning problem of simultaneous trajectory-following an obstacle

More information

UNIT 9 INTERFEROMETRY

UNIT 9 INTERFEROMETRY UNIT 9 INTERFEROMETRY Structure 9.1 Introuction Objectives 9. Interference of Light 9.3 Light Sources for 9.4 Applie to Flatness Testing 9.5 in Testing of Surface Contour an Measurement of Height 9.6 Interferometers

More information

Evolutionary Optimisation Methods for Template Based Image Registration

Evolutionary Optimisation Methods for Template Based Image Registration Evolutionary Optimisation Methos for Template Base Image Registration Lukasz A Machowski, Tshilizi Marwala School of Electrical an Information Engineering University of Witwatersran, Johannesburg, South

More information

Inverse Model to Determine the Optimal Number of Drops of RDC Column Using Fuzzy Approach

Inverse Model to Determine the Optimal Number of Drops of RDC Column Using Fuzzy Approach Inverse Moel to Determine the Optimal Number of Drops of RDC Column Using Fuzzy Approach 1 HAFEZ IBRAHIM, 2 JAMALLUDIN TALIB, 3 NORMAH MAAN Department of Mathematics Universiti Teknologi Malaysia 81310

More information

Optimal path planning in a constant wind with a bounded turning rate

Optimal path planning in a constant wind with a bounded turning rate Optimal path planning in a constant win with a boune turning rate Timothy G. McGee, Stephen Spry an J. Karl Herick Center for Collaborative Control of Unmanne Vehicles, University of California, Berkeley,

More information

Fast Fractal Image Compression using PSO Based Optimization Techniques

Fast Fractal Image Compression using PSO Based Optimization Techniques Fast Fractal Compression using PSO Base Optimization Techniques A.Krishnamoorthy Visiting faculty Department Of ECE University College of Engineering panruti rishpci89@gmail.com S.Buvaneswari Visiting

More information

FINDING OPTICAL DISPERSION OF A PRISM WITH APPLICATION OF MINIMUM DEVIATION ANGLE MEASUREMENT METHOD

FINDING OPTICAL DISPERSION OF A PRISM WITH APPLICATION OF MINIMUM DEVIATION ANGLE MEASUREMENT METHOD Warsaw University of Technology Faculty of Physics Physics Laboratory I P Joanna Konwerska-Hrabowska 6 FINDING OPTICAL DISPERSION OF A PRISM WITH APPLICATION OF MINIMUM DEVIATION ANGLE MEASUREMENT METHOD.

More information

AnyTraffic Labeled Routing

AnyTraffic Labeled Routing AnyTraffic Labele Routing Dimitri Papaimitriou 1, Pero Peroso 2, Davie Careglio 2 1 Alcatel-Lucent Bell, Antwerp, Belgium Email: imitri.papaimitriou@alcatel-lucent.com 2 Universitat Politècnica e Catalunya,

More information

Coupling the User Interfaces of a Multiuser Program

Coupling the User Interfaces of a Multiuser Program Coupling the User Interfaces of a Multiuser Program PRASUN DEWAN University of North Carolina at Chapel Hill RAJIV CHOUDHARY Intel Corporation We have evelope a new moel for coupling the user-interfaces

More information

Characterizing Decoding Robustness under Parametric Channel Uncertainty

Characterizing Decoding Robustness under Parametric Channel Uncertainty Characterizing Decoing Robustness uner Parametric Channel Uncertainty Jay D. Wierer, Wahee U. Bajwa, Nigel Boston, an Robert D. Nowak Abstract This paper characterizes the robustness of ecoing uner parametric

More information

Classical Mechanics Examples (Lagrange Multipliers)

Classical Mechanics Examples (Lagrange Multipliers) Classical Mechanics Examples (Lagrange Multipliers) Dipan Kumar Ghosh Physics Department, Inian Institute of Technology Bombay Powai, Mumbai 400076 September 3, 015 1 Introuction We have seen that the

More information

A fringe period unwrapping technique for digital fringe profilometry based on spatial shift estimation

A fringe period unwrapping technique for digital fringe profilometry based on spatial shift estimation University of Wollongong Research Online Faculty of Informatics - Papers (Archive Faculty of Engineering an Information Sciences 29 A fringe perio unrapping technique for igital fringe profilometry base

More information

WATER MIST SPRAY MODELLING WITH FDS

WATER MIST SPRAY MODELLING WITH FDS PROCEEDINGS, Fire an Evacuation Moeling Technical Conference 0 Baltimore, Marylan, August 5-6, 0 WATER MIST SPRAY MODELLING WITH FDS Simo Hostikka, Jukka Vaari, Topi Sikanen, Antti Paajanen VTT Technical

More information

Appearance Sensing distance Output configuration Operation mode Model. Appearance Sensing distance Output configuration Operation mode Model

Appearance Sensing distance Output configuration Operation mode Model. Appearance Sensing distance Output configuration Operation mode Model Spatter-resistant Proximity Sensor EEQ CSM_EEQ_DS_E Spatter-resistant Fluororesincoate Proximity Sensor Superior spatter resistance. Long Sensing-istance s ae for sensing istances up to mm. Pre-wire Smartclick

More information

Offloading Cellular Traffic through Opportunistic Communications: Analysis and Optimization

Offloading Cellular Traffic through Opportunistic Communications: Analysis and Optimization 1 Offloaing Cellular Traffic through Opportunistic Communications: Analysis an Optimization Vincenzo Sciancalepore, Domenico Giustiniano, Albert Banchs, Anreea Picu arxiv:1405.3548v1 [cs.ni] 14 May 24

More information

A new fuzzy visual servoing with application to robot manipulator

A new fuzzy visual servoing with application to robot manipulator 2005 American Control Conference June 8-10, 2005. Portlan, OR, USA FrA09.4 A new fuzzy visual servoing with application to robot manipulator Marco A. Moreno-Armenariz, Wen Yu Abstract Many stereo vision

More information

A Neural Network Model Based on Graph Matching and Annealing :Application to Hand-Written Digits Recognition

A Neural Network Model Based on Graph Matching and Annealing :Application to Hand-Written Digits Recognition ITERATIOAL JOURAL OF MATHEMATICS AD COMPUTERS I SIMULATIO A eural etwork Moel Base on Graph Matching an Annealing :Application to Han-Written Digits Recognition Kyunghee Lee Abstract We present a neural

More information

Advanced method of NC programming for 5-axis machining

Advanced method of NC programming for 5-axis machining Available online at www.scienceirect.com Proceia CIRP (0 ) 0 07 5 th CIRP Conference on High Performance Cutting 0 Avance metho of NC programming for 5-axis machining Sergej N. Grigoriev a, A.A. Kutin

More information

Automation of Bird Front Half Deboning Procedure: Design and Analysis

Automation of Bird Front Half Deboning Procedure: Design and Analysis Automation of Bir Front Half Deboning Proceure: Design an Analysis Debao Zhou, Jonathan Holmes, Wiley Holcombe, Kok-Meng Lee * an Gary McMurray Foo Processing echnology Division, AAS Laboratory, Georgia

More information

Regularized Laplacian Zero Crossings as Optimal Edge Integrators

Regularized Laplacian Zero Crossings as Optimal Edge Integrators Regularize aplacian Zero rossings as Optimal Ege Integrators R. KIMME A.M. BRUKSTEIN Department of omputer Science Technion Israel Institute of Technology Technion ity, Haifa 32, Israel Abstract We view

More information

Feedback Error Learning Neural Network Applied to a Scara Robot

Feedback Error Learning Neural Network Applied to a Scara Robot Feeback Error Learning Neural Network Applie to a Scara Robot Fernano Passol Dept. of Electrical Engineering University of Passo Funo Passo Funo, Brazil passol@upf.tche.br Abstract This paper escribes

More information

Approximation with Active B-spline Curves and Surfaces

Approximation with Active B-spline Curves and Surfaces Approximation with Active B-spline Curves an Surfaces Helmut Pottmann, Stefan Leopolseer, Michael Hofer Institute of Geometry Vienna University of Technology Wiener Hauptstr. 8 10, Vienna, Austria pottmann,leopolseer,hofer

More information

Architecture Design of Mobile Access Coordinated Wireless Sensor Networks

Architecture Design of Mobile Access Coordinated Wireless Sensor Networks Architecture Design of Mobile Access Coorinate Wireless Sensor Networks Mai Abelhakim 1 Leonar E. Lightfoot Jian Ren 1 Tongtong Li 1 1 Department of Electrical & Computer Engineering, Michigan State University,

More information

Non-Uniform Sensor Deployment in Mobile Wireless Sensor Networks

Non-Uniform Sensor Deployment in Mobile Wireless Sensor Networks 0 0 0 0 0 0 0 0 on-uniform Sensor Deployment in Mobile Wireless Sensor etworks Mihaela Carei, Yinying Yang, an Jie Wu Department of Computer Science an Engineering Floria Atlantic University Boca Raton,

More information

Appearance Sensing distance Output configuration Operation mode Model. Appearance Sensing distance Output configuration Operation mode Model

Appearance Sensing distance Output configuration Operation mode Model. Appearance Sensing distance Output configuration Operation mode Model Spatter-resistant Proximity Sensor EEQ CSM_EEQ_DS_E Spatter-resistant Fluororesincoate Proximity Sensor Superior spatter resistance. Long Sensing-istance s ae for sensing istances up to mm. DC -Wire s.

More information

Robust Camera Calibration for an Autonomous Underwater Vehicle

Robust Camera Calibration for an Autonomous Underwater Vehicle obust Camera Calibration for an Autonomous Unerwater Vehicle Matthew Bryant, Davi Wettergreen *, Samer Aballah, Alexaner Zelinsky obotic Systems Laboratory Department of Engineering, FEIT Department of

More information

Learning convex bodies is hard

Learning convex bodies is hard Learning convex boies is har Navin Goyal Microsoft Research Inia navingo@microsoftcom Luis Raemacher Georgia Tech lraemac@ccgatecheu Abstract We show that learning a convex boy in R, given ranom samples

More information

Module13:Interference-I Lecture 13: Interference-I

Module13:Interference-I Lecture 13: Interference-I Moule3:Interference-I Lecture 3: Interference-I Consier a situation where we superpose two waves. Naively, we woul expect the intensity (energy ensity or flux) of the resultant to be the sum of the iniviual

More information

Estimation of large-amplitude motion and disparity fields: Application to intermediate view reconstruction

Estimation of large-amplitude motion and disparity fields: Application to intermediate view reconstruction c 2000 SPIE. Personal use of this material is permitte. However, permission to reprint/republish this material for avertising or promotional purposes or for creating new collective works for resale or

More information

Comparison of Methods for Increasing the Performance of a DUA Computation

Comparison of Methods for Increasing the Performance of a DUA Computation Comparison of Methos for Increasing the Performance of a DUA Computation Michael Behrisch, Daniel Krajzewicz, Peter Wagner an Yun-Pang Wang Institute of Transportation Systems, German Aerospace Center,

More information

Using Ray Tracing for Site-Specific Indoor Radio Signal Strength Analysis 1

Using Ray Tracing for Site-Specific Indoor Radio Signal Strength Analysis 1 Using Ray Tracing for Site-Specific Inoor Raio Signal Strength Analysis 1 Michael Ni, Stephen Mann, an Jay Black Computer Science Department, University of Waterloo, Waterloo, Ontario, NL G1, Canaa Abstract

More information

Multi-camera tracking algorithm study based on information fusion

Multi-camera tracking algorithm study based on information fusion International Conference on Avance Electronic Science an Technolog (AEST 016) Multi-camera tracking algorithm stu base on information fusion a Guoqiang Wang, Shangfu Li an Xue Wen School of Electronic

More information

Skyline Community Search in Multi-valued Networks

Skyline Community Search in Multi-valued Networks Syline Community Search in Multi-value Networs Rong-Hua Li Beijing Institute of Technology Beijing, China lironghuascut@gmail.com Jeffrey Xu Yu Chinese University of Hong Kong Hong Kong, China yu@se.cuh.eu.h

More information

A multiple wavelength unwrapping algorithm for digital fringe profilometry based on spatial shift estimation

A multiple wavelength unwrapping algorithm for digital fringe profilometry based on spatial shift estimation University of Wollongong Research Online Faculty of Engineering an Information Sciences - Papers: Part A Faculty of Engineering an Information Sciences 214 A multiple wavelength unwrapping algorithm for

More information

Development of Noise Measurements. Part 6. Opposing Method in Stepless Shifting Regulation

Development of Noise Measurements. Part 6. Opposing Method in Stepless Shifting Regulation Sensors & Transucers, Vol. 55, Issue 8, August 03, pp. 300-304 Sensors & Transucers 03 by IFSA http://www.sensorsportal.com Development of Noise Measurements. Part 6. Opposing Metho in Stepless Shifting

More information

Research Article Circle Plus Partial Helical Scan Scheme for a Flat Panel Detector-Based Cone Beam Breast X-Ray CT

Research Article Circle Plus Partial Helical Scan Scheme for a Flat Panel Detector-Based Cone Beam Breast X-Ray CT Hinawi Publishing Corporation International Journal of Biomeical Imaging Volume 2009, Article ID 637867, 11 pages oi:10.1155/2009/637867 Research Article Circle Plus Partial Helical Scan Scheme for a Flat

More information

MR DAMPER OPTIMAL PLACEMENT FOR SEMI-ACTIVE CONTROL OF BUILDINGS USING AN EFFICIENT MULTI- OBJECTIVE BINARY GENETIC ALGORITHM

MR DAMPER OPTIMAL PLACEMENT FOR SEMI-ACTIVE CONTROL OF BUILDINGS USING AN EFFICIENT MULTI- OBJECTIVE BINARY GENETIC ALGORITHM 24th International Symposium on on Automation & Robotics in in Construction (ISARC 2007) Construction Automation Group I.I.T. Maras MR DAMPER OPTIMAL PLACEMENT FOR SEMI-ACTIVE CONTROL OF BUILDINGS USING

More information

Yet Another Parallel Hypothesis Search for Inverse Entailment Hiroyuki Nishiyama and Hayato Ohwada Faculty of Sci. and Tech. Tokyo University of Scien

Yet Another Parallel Hypothesis Search for Inverse Entailment Hiroyuki Nishiyama and Hayato Ohwada Faculty of Sci. and Tech. Tokyo University of Scien Yet Another Parallel Hypothesis Search for Inverse Entailment Hiroyuki Nishiyama an Hayato Ohwaa Faculty of Sci. an Tech. Tokyo University of Science, 2641 Yamazaki, Noa-shi, CHIBA, 278-8510, Japan hiroyuki@rs.noa.tus.ac.jp,

More information

Digital fringe profilometry based on triangular fringe patterns and spatial shift estimation

Digital fringe profilometry based on triangular fringe patterns and spatial shift estimation University of Wollongong Research Online Faculty of Engineering an Information Sciences - Papers: Part A Faculty of Engineering an Information Sciences 4 Digital fringe profilometry base on triangular

More information

10. WAVE OPTICS ONE MARK QUESTIONS

10. WAVE OPTICS ONE MARK QUESTIONS 1 10. WAVE OPTICS ONE MARK QUESTIONS 1. Define wavefront.. What is the shape of wavefront obtaine from a point source at a (i) small istance (ii) large istance? 3. Uner what conitions a cylinrical wavefront

More information

Real-time concepts for Software/Hardware Engineering

Real-time concepts for Software/Hardware Engineering Real-time concepts for Software/Harware Engineering Master s thesis of M.C.W. Geilen Date: August 996 Coaches: ing.p.h.a. van er Putten ir.j.p.m. Voeten Supervisor: prof.ir.m.p.j. Stevens Section of Information

More information

MICROARRAY IMAGE GRIDDING USING GRID LINE REFINEMENT TECHNIQUE

MICROARRAY IMAGE GRIDDING USING GRID LINE REFINEMENT TECHNIQUE DOI: 10.21917/ijivp.2015.0148 MICROARRAY IMAGE GRIDDING USING GRID LINE REFINEMENT TECHNIQUE V.G. Biju 1 an P. Mythili 2 School of Engineering, Cochin University of Science an Technology, Inia E-mail:

More information

On Effectively Determining the Downlink-to-uplink Sub-frame Width Ratio for Mobile WiMAX Networks Using Spline Extrapolation

On Effectively Determining the Downlink-to-uplink Sub-frame Width Ratio for Mobile WiMAX Networks Using Spline Extrapolation On Effectively Determining the Downlink-to-uplink Sub-frame With Ratio for Mobile WiMAX Networks Using Spline Extrapolation Panagiotis Sarigianniis, Member, IEEE, Member Malamati Louta, Member, IEEE, Member

More information

Linear First-Order PDEs

Linear First-Order PDEs MODULE 2: FIRST-ORDER PARTIAL DIFFERENTIAL EQUATIONS 9 Lecture 2 Linear First-Orer PDEs The most general first-orer linear PDE has the form a(x, y)z x + b(x, y)z y + c(x, y)z = (x, y), (1) where a, b,

More information

Generalized Edge Coloring for Channel Assignment in Wireless Networks

Generalized Edge Coloring for Channel Assignment in Wireless Networks Generalize Ege Coloring for Channel Assignment in Wireless Networks Chun-Chen Hsu Institute of Information Science Acaemia Sinica Taipei, Taiwan Da-wei Wang Jan-Jan Wu Institute of Information Science

More information

A Plane Tracker for AEC-automation Applications

A Plane Tracker for AEC-automation Applications A Plane Tracker for AEC-automation Applications Chen Feng *, an Vineet R. Kamat Department of Civil an Environmental Engineering, University of Michigan, Ann Arbor, USA * Corresponing author (cforrest@umich.eu)

More information

On a Method of Finding Homoclinic and Heteroclinic Orbits in. Multidimensional Dynamical Systems

On a Method of Finding Homoclinic and Heteroclinic Orbits in. Multidimensional Dynamical Systems Applie Mathematics & Information Sciences 4(3) (), 383 394 An International Journal c Diie W Publishing Corporation, U. S. A. On a Metho of Fining Homoclinic an Heteroclinic Orbits in Multiimensional Dynamical

More information

PLANCESS RANK ACCELERATOR

PLANCESS RANK ACCELERATOR PLANCESS RANK ACCELERATOR PHYSICS FOR JEE MAIN & ADVANCED Wave Optics 4000+questions with topic wise exercises 000+ problems of IIT-JEE & AIEEE exams of last 5 years 4 Levels of Exercises categorize into

More information

Design of Controller for Crawling to Sitting Behavior of Infants

Design of Controller for Crawling to Sitting Behavior of Infants Design of Controller for Crawling to Sitting Behavior of Infants A Report submitte for the Semester Project To be accepte on: 29 June 2007 by Neha Priyaarshini Garg Supervisors: Luovic Righetti Prof. Auke

More information

An Algorithm for Building an Enterprise Network Topology Using Widespread Data Sources

An Algorithm for Building an Enterprise Network Topology Using Widespread Data Sources An Algorithm for Builing an Enterprise Network Topology Using Wiesprea Data Sources Anton Anreev, Iurii Bogoiavlenskii Petrozavosk State University Petrozavosk, Russia {anreev, ybgv}@cs.petrsu.ru Abstract

More information

Quad-Rotor UAV: High-Fidelity Modeling and Nonlinear PID Control

Quad-Rotor UAV: High-Fidelity Modeling and Nonlinear PID Control AIAA Moeling an Simulation Technologies Conference - 5 August, Toronto, Ontario Canaa AIAA -86 Qua-Rotor UAV: High-ielity Moeling an Nonlinear PID Control Alaein Bani Milhim an Youmin Zhang Concoria University,

More information

INVESTIGATION OF EFFECT OF NOZZLE GEOMETRY ON SPRAY WITH A 3-D EULERIAN-LAGRANGIAN SPRAY MODEL COUPLED WITH THE NOZZLE CAVITATING FLOW

INVESTIGATION OF EFFECT OF NOZZLE GEOMETRY ON SPRAY WITH A 3-D EULERIAN-LAGRANGIAN SPRAY MODEL COUPLED WITH THE NOZZLE CAVITATING FLOW THERMAL SCIENCE: Year 2018, Vol. 22, No., pp. 129-1248 129 INVESTIGATION OF EFFECT OF NOZZLE GEOMETRY ON SPRAY WITH A -D EULERIAN-LAGRANGIAN SPRAY MODEL COUPLED WITH THE NOZZLE CAVITATING FLOW Introuction

More information

Bayesian localization microscopy reveals nanoscale podosome dynamics

Bayesian localization microscopy reveals nanoscale podosome dynamics Nature Methos Bayesian localization microscopy reveals nanoscale poosome ynamics Susan Cox, Ewar Rosten, James Monypenny, Tijana Jovanovic-Talisman, Dylan T Burnette, Jennifer Lippincott-Schwartz, Gareth

More information

DEVELOPMENT OF DamageCALC APPLICATION FOR AUTOMATIC CALCULATION OF THE DAMAGE INDICATOR

DEVELOPMENT OF DamageCALC APPLICATION FOR AUTOMATIC CALCULATION OF THE DAMAGE INDICATOR Mechanical Testing an Diagnosis ISSN 2247 9635, 2012 (II), Volume 4, 28-36 DEVELOPMENT OF DamageCALC APPLICATION FOR AUTOMATIC CALCULATION OF THE DAMAGE INDICATOR Valentina GOLUBOVIĆ-BUGARSKI, Branislav

More information

A New Search Algorithm for Solving Symmetric Traveling Salesman Problem Based on Gravity

A New Search Algorithm for Solving Symmetric Traveling Salesman Problem Based on Gravity Worl Applie Sciences Journal 16 (10): 1387-1392, 2012 ISSN 1818-4952 IDOSI Publications, 2012 A New Search Algorithm for Solving Symmetric Traveling Salesman Problem Base on Gravity Aliasghar Rahmani Hosseinabai,

More information

Depth Sizing of Surface Breaking Flaw on Its Open Side by Short Path of Diffraction Technique

Depth Sizing of Surface Breaking Flaw on Its Open Side by Short Path of Diffraction Technique 17th Worl Conference on Nonestructive Testing, 5-8 Oct 008, Shanghai, China Depth Sizing of Surface Breaking Flaw on Its Open Sie by Short Path of Diffraction Technique Hiroyuki FUKUTOMI, Shan LIN an Takashi

More information

Non-homogeneous Generalization in Privacy Preserving Data Publishing

Non-homogeneous Generalization in Privacy Preserving Data Publishing Non-homogeneous Generalization in Privacy Preserving Data Publishing W. K. Wong, Nios Mamoulis an Davi W. Cheung Department of Computer Science, The University of Hong Kong Pofulam Roa, Hong Kong {wwong2,nios,cheung}@cs.hu.h

More information

Lab work #8. Congestion control

Lab work #8. Congestion control TEORÍA DE REDES DE TELECOMUNICACIONES Grao en Ingeniería Telemática Grao en Ingeniería en Sistemas e Telecomunicación Curso 2015-2016 Lab work #8. Congestion control (1 session) Author: Pablo Pavón Mariño

More information

Improving Performance of Sparse Matrix-Vector Multiplication

Improving Performance of Sparse Matrix-Vector Multiplication Improving Performance of Sparse Matrix-Vector Multiplication Ali Pınar Michael T. Heath Department of Computer Science an Center of Simulation of Avance Rockets University of Illinois at Urbana-Champaign

More information

Chapter 5 Proposed models for reconstituting/ adapting three stereoscopes

Chapter 5 Proposed models for reconstituting/ adapting three stereoscopes Chapter 5 Propose moels for reconstituting/ aapting three stereoscopes - 89 - 5. Propose moels for reconstituting/aapting three stereoscopes This chapter offers three contributions in the Stereoscopy area,

More information

Introduction to Inversion in Geophysics

Introduction to Inversion in Geophysics Course given at the University of Fribourg (9 April 00) Introuction to Inversion in eophysics Dr. Laurent Marescot Laurent Marescot, 00 Learning Objective an Agena Learning objective: Agena: get the basic

More information

A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization

A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization 272 INFORMS Journal on Computing 0899-1499 100 1204-0272 $05.00 Vol. 12, No. 4, Fall 2000 2000 INFORMS A Revise Simplex Search Proceure for Stochastic Simulation Response Surface Optimization DAVID G.

More information

A Comparative Evaluation of Iris and Ocular Recognition Methods on Challenging Ocular Images

A Comparative Evaluation of Iris and Ocular Recognition Methods on Challenging Ocular Images A Comparative Evaluation of Iris an Ocular Recognition Methos on Challenging Ocular Images Vishnu Naresh Boeti Carnegie Mellon University Pittsburgh, PA 523 naresh@cmu.eu Jonathon M Smereka Carnegie Mellon

More information

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors We are IntechOpen, the worl s leaing publisher of Open Access books Built by scientists, for scientists 3,800 116,000 120M Open access books available International authors an eitors Downloas Our authors

More information

4.2 Implicit Differentiation

4.2 Implicit Differentiation 6 Chapter 4 More Derivatives 4. Implicit Differentiation What ou will learn about... Implicitl Define Functions Lenses, Tangents, an Normal Lines Derivatives of Higher Orer Rational Powers of Differentiable

More information

Chalmers Publication Library

Chalmers Publication Library Chalmers Publication Library All-to-all Broacast for Vehicular Networks Base on Coe Slotte ALOHA This ocument has been ownloae from Chalmers Publication Library (CPL). It is the author s version of a work

More information

Almost Disjunct Codes in Large Scale Multihop Wireless Network Media Access Control

Almost Disjunct Codes in Large Scale Multihop Wireless Network Media Access Control Almost Disjunct Coes in Large Scale Multihop Wireless Network Meia Access Control D. Charles Engelhart Anan Sivasubramaniam Penn. State University University Park PA 682 engelhar,anan @cse.psu.eu Abstract

More information

Indicator i 20. User manual

Indicator i 20. User manual Inicator i 20 WWW.PRECIAMOLEN.COM User manual 04-50-00-1 MU / 10/2012 Contents 1. Forewor... 5 Documentary conventions... 5 Pictograms... 5 Terminology an abbreviations... 5 Aitional ocumentation... 5

More information

FTSM FAST TAKAGI-SUGENO FUZZY MODELING. Manfred Männle

FTSM FAST TAKAGI-SUGENO FUZZY MODELING. Manfred Männle FTS FAST TAKAGI-SUGENO FUZZY ODELING anfre ännle Institute for Computer Design an Fault Tolerance University of Karlsruhe, D-7628 Karlsruhe, Germany anfre.aennle@informatik.uni-karlsruhe.e Abstract Takagi-Sugeno

More information

Detecting Overlapping Communities from Local Spectral Subspaces

Detecting Overlapping Communities from Local Spectral Subspaces Detecting Overlapping Communities from Local Spectral Subspaces Kun He, Yiwei Sun Huazhong University of Science an Technology Wuhan 430074, China Email: {brooklet60, yiweisun}@hust.eu.cn Davi Binel, John

More information

Frequency Domain Parameter Estimation of a Synchronous Generator Using Bi-objective Genetic Algorithms

Frequency Domain Parameter Estimation of a Synchronous Generator Using Bi-objective Genetic Algorithms Proceeings of the 7th WSEAS International Conference on Simulation, Moelling an Optimization, Beijing, China, September 15-17, 2007 429 Frequenc Domain Parameter Estimation of a Snchronous Generator Using

More information

Intensive Hypercube Communication: Prearranged Communication in Link-Bound Machines 1 2

Intensive Hypercube Communication: Prearranged Communication in Link-Bound Machines 1 2 This paper appears in J. of Parallel an Distribute Computing 10 (1990), pp. 167 181. Intensive Hypercube Communication: Prearrange Communication in Link-Boun Machines 1 2 Quentin F. Stout an Bruce Wagar

More information

MORA: a Movement-Based Routing Algorithm for Vehicle Ad Hoc Networks

MORA: a Movement-Based Routing Algorithm for Vehicle Ad Hoc Networks : a Movement-Base Routing Algorithm for Vehicle A Hoc Networks Fabrizio Granelli, Senior Member, Giulia Boato, Member, an Dzmitry Kliazovich, Stuent Member Abstract Recent interest in car-to-car communications

More information

An Investigation in the Use of Vehicle Reidentification for Deriving Travel Time and Travel Time Distributions

An Investigation in the Use of Vehicle Reidentification for Deriving Travel Time and Travel Time Distributions An Investigation in the Use of Vehicle Reientification for Deriving Travel Time an Travel Time Distributions Carlos Sun Department of Civil an Environmental Engineering, University of Missouri-Columbia,

More information

Fundamentals of the stiffness method. Fundamentals of the stiffness method. Fundamentals of the stiffness method

Fundamentals of the stiffness method. Fundamentals of the stiffness method. Fundamentals of the stiffness method CHAPER 6 russ Analsis using Stiffness Metho Objectives เข าใจว ธ ของ stiffness metho ใช ว ธ stiffness metho ก บ russ, BM & rame จะพ ดถ งในบท หน า unamentals of the stiffness metho he stiffness metho: Is

More information

Attitude Dynamics and Control of a Dual-Body Spacecraft using Variable-Speed Control Moment Gyros

Attitude Dynamics and Control of a Dual-Body Spacecraft using Variable-Speed Control Moment Gyros Attitue Dynamics an Control of a Dual-Boy Spacecraft using Variable-Spee Control Moment Gyros Abstract Marcello Romano, Brij N. Agrawal Department of Mechanical an Astronautical Engineering, US Naval Postgrauate

More information

Department of Computer Science, POSTECH, Pohang , Korea. (x 0 (t); y 0 (t)) 6= (0; 0) and N(t) is well dened on the

Department of Computer Science, POSTECH, Pohang , Korea. (x 0 (t); y 0 (t)) 6= (0; 0) and N(t) is well dened on the Comparing Oset Curve Approximation Methos Gershon er +, In-Kwon, an Myung-Soo Kim + Department of Computer Science, Technion, IIT, Haifa 32000, Israel Department of Computer Science, POSTECH, Pohang 790-784,

More information

E2EM-X4X1 2M *2 E2EM-X4X2 2M Shielded E2EM-X8X1 2M *2 E2EM-X8X2 2M *1 M30 15 mm E2EM-X15X1 2M *2 E2EM-X15X2 2M

E2EM-X4X1 2M *2 E2EM-X4X2 2M Shielded E2EM-X8X1 2M *2 E2EM-X8X2 2M *1 M30 15 mm E2EM-X15X1 2M *2 E2EM-X15X2 2M Long-istance Proximity Sensor EEM CSM_EEM_DS_E_7_ Long-istance Proximity Sensor Long-istance etection at up to mm enables secure mounting with reuce problems ue to workpiece collisions. No polarity for

More information

Computer Graphics Chapter 7 Three-Dimensional Viewing Viewing

Computer Graphics Chapter 7 Three-Dimensional Viewing Viewing Computer Graphics Chapter 7 Three-Dimensional Viewing Outline Overview of Three-Dimensional Viewing Concepts The Three-Dimensional Viewing Pipeline Three-Dimensional Viewing-Coorinate Parameters Transformation

More information

Implicit and Explicit Functions

Implicit and Explicit Functions 60_005.q //0 :5 PM Page SECTION.5 Implicit Differentiation Section.5 EXPLORATION Graphing an Implicit Equation How coul ou use a graphing utilit to sketch the graph of the equation? Here are two possible

More information