ELEN : Project Progress Report. Second Order Delay Computation for RC networks with Non-Tree Topology

Size: px
Start display at page:

Download "ELEN : Project Progress Report. Second Order Delay Computation for RC networks with Non-Tree Topology"

Transcription

1 ELEN : Project Progress eport Second Order Delay Coputation for C networks wi Non-Tree Topology ajeshwary Tayade //003 PDF created wi pdffactory trial version

2 : Introduction Wi DSM technologies, Interconnect delay is turning out to be a ore doinating coponent of e total syste delay. A lot of work has been devoted towards accurate and efficient coputation of interconnect delay. The ost popular interconnect odel is e C-π odel which will be eployed in is project. A coprehensive coverage of e tiing etrics at are being traditionally used for delay estiation is given in []. These eods are suarized below: ) Elore Delay: Estiates e delay in ters of e step response of e equivalent C circuit. Elore observed at e step response of a C circuit can be viewed as e CDF function of a rando variable. Then e 50% delay point t d corresponds to e edian of e CDF function. The Elore delay approxiates e edian to e ean of e distribution and is given by T D = G C () where G and C are e pa conductance atrix and node capacitance vector respectively. Thus for a generalized network, Elore delay coputation requires a single atrix inversion. In [], it was shown at for C-tree topologies, Elore delay can be coputed using siple pa tracing algori instead of a atrix inversion. In [] it was proved at Elore delay fors e upper bounds on e delay for bo rap and step input signal. Due to its siplicity Elore delay has been e ost popular etric for interconnect delay estiation for years. The ain proble of Elore delay is at it neglects e resistive shielding effect [] for long nets. Thus e Elore delay can be seen as a good bound, but e estiates obtained are good only for soe regularstructure circuits such as clock tree. ) AWE: Autoatic Wavefor Evaluation [3] is a highly accurate but coputationally intensive eod, in which e syste transfer function is first obtained using e syste oents. Each oent coputation requires just e DC-analysis of e equivalent Ccircuit and us e transfer function of any order can be obtained. Once e transfer function is obtained, e syste response and delay can be observed for any generalized input function. (Note at oent coputation for a C-tree topology is siple, but for non-tree topologies it requires atrix inversion.) PDF created wi pdffactory trial version

3 3) Model Order eduction: These eods try to achieve a trade-off between e accuracy of AWE and e siplicity of Elore delay by approxiating nd or 3 rd order systes as in [4] [5]. The proble wi ese eods at it syste function obtained can be unstable and/or can produce coplex poles. Also after obtaining e syste ipulse response, non-linear operations have to be used to deterine e syste delay. 4) Probability Interpretation: This eod is a continuation of Elore s concept of viewing e syste ipulse response as a PDF of a statistical distribution. The ain idea is at we want to find e edian of e step response. So we try to atch e syste stepresponse to soe well-known CDF and e proble of delay calculation now translates into e proble of coputing e edian of is distribution. The atching in turn is done by equating e first ree central oents of e distribution (ean, variance and skewness) to e first ree circuit oents. This approach was proposed in [6] in which a tie-shifted incoplete Gaa function was used for odeling. In [7] is sae odeling is extended to atch e hoogenous portion of e step response to e gaa distribution. In [] e odeling was furer siplified by using e Weibull distribution for atching; e advantage being at e edian of e Weibull distribution is a direct function of its paraeters. These eods involves non-linear apping and hence is based on look-up-table evaluation. One ore advantage of is eod is at after e syste oents are obtained, delay calculation is independent of e circuit topology (no instability issues) which akes is eod a better choice for generalized topology. In is project e objective is to obtain e second-order delay estiates for a generalized Cesh (i.e. tree or non-tree). All capacitances are grounded and ere are no resistive pas to ground. As entioned above a tree structure provides a huge coputational gain and hence ost eods are focused towards solving for tree structures. In is project we use e Tree-Link partitioning algori to calculate e first two oents of e non-tree circuit and en use e WED (Weibull based delay) approxiation in [] to copute e second-order delay. The report is organized as follows: Section gives describes e Tree-link Partitioning eod and how it has been ipleented in e project. Section 3 describes e Weibull Distribution and WED eod. Section 4 gives e coplete procedure in brief and e ipleentation details, probles faced etc. Section 5 describes e exaples on which e eod was ipleented and section 6 suarizes e project. PDF created wi pdffactory trial version 3

4 : Non-Tree Topology and Tree-Link Partitioning As entioned in e first section, ost delay estiation eods need to copute e circuit oents. Each oent calculation can be represented as a siple dc-analysis procedure and hence can be solved using atrix inversion. For a C Tree network, i.e. a topology where ere is a unique pa fro any node to e source, we need not calculate e atrix inverse. The solution is obtained using a siple tree-traversal algori [] in O(n) tie-coplexity. However consider a general C network also called a C esh: Figure : Non Tree-circuit topology Here ere are two pas fro source S to node B, naely S-A-B and S-E-F-F-B. Thus if we want to calculate e delay at node B, it is not clear what links to use for e load-side capacitance and which ones to use for e driver-side esistance values. For such cases we cannot use siple tree traversal procedure and ight need to use a direct atrix-inverse procedure for delay calculation. A siple solution for is proble is proposed in [9], called a Tree-link Partitioning algori. The basic idea is to first obtain a spanning tree for e given network using Dep-First-Search and use e edges not part of e tree as links. The node voltages (in our case oents) are coputed for e spanning tree first using e tree-traversal procedure and en each link is added while updating e node voltages using Large Change Sensitivity analysis. The Tree/Link Partitioning eod proposed in [9] obtains e first order delay (Elore) as shown below: t di = n j= i, j C [ v ( ) v (0)] v ( ) v (0) i j i i i Now using Large Change sensitivity if e node voltages (which correspond to e oents in our case) of a circuit are known, en e result of adding a resistive branch is given by: ) vk v v = v + l Y ξ Assuing e initial and final voltages are sae in bo e cases, we obtain: () (3) PDF created wi pdffactory trial version 4

5 vk vk t vl vl t v ) ( ( ) ( ) ( ( ) ( ))) ( ) v ) (0) = v( ) v(0) Y ξ + (4) Thus e Elore delay for e non-tree circuit becoes: tˆ d ( t t ) = td Y ξ (5) ( d, k d, l + ) We need to estiate e second order delays for higher accuracy and at would require bo first and second oents. The details of e eod used for oent calculation is given in section 4. 3: Weibull Based Delay (WED) The PDF of a -paraeter Weibull distribution is given by: P WEI ( t) The CDF is given by C WEI α α ( t / β ) = αβ t e for t,α,β >0 (6) α ( t / β ) ( t) = e (7) Here α and β are e two paraeters, α is called e shape paraeter and β is e location paraeter. Figure shows plots of Weibull Distribution for different values of α and sae β. The idea is to atch e step-response of e circuit to e CDF of a Weibull distribution. This can be done by atching e statistical oents of e Weibull CDF to e circuit oents. The first two oents (naely e ean and variance) of e Weibull distribution is given by: µ WEI = βγ( + θ ) and σ = β ( Γ( + θ ) Γ ( + θ )) where θ = /α WEI (8) Given e circuit oents and, e central oents (ean and variance) are obtained as µ = and σ = (9) Now, we have σ WEI Γ( + θ ) =, (0) µ WEI Γ ( + θ ) PDF created wi pdffactory trial version 5

6 CDF of Weibull distribution for different alpha, beta= alpha= alpha= alpha= Then Matching e Circuit ean and variance to at of e Weibull distribution, we obtain: Now, Let Γ ( + θ ) = Γ ( + θ ) ; () Γ( + θ ) r = = () Γ ( + θ) Then Given e circuit oents, e value of θ can be obtained using e inverse Gaa function. Since is is a non-linear relation and is coplicated to solve, it is ipleented using a siple Look-up Table. After θ is obtained, en fro e ean atching, we get β = Γ(+ θ) The 50% delay point is en obtained using e forula for e edian of e Weibull distribution: (3) θ t 0.5 = β (ln()) (4) Thus e ain advantage of using is eod is at once e two circuit oents are obtained at each node, a siple algori (described later) can be used to get e delay irrespective of e circuit topology. 4: Procedure In e above two sections we have discussed two different papers/concepts. The first one is a eod to obtain e first order delay for a non-tree C circuit using Tree-Link partitioning, and PDF created wi pdffactory trial version 6

7 e second one is a procedure to obtain circuit delay using Weibull distribution approxiation of e step-response. In is project, we cobine e two ideas to get e second-order delay of a generalized C circuit. The WED eod requires e first two circuit oents and after at e delay calculation is just based on Look-up Tables. So e ain issue is to copute e oents of e C-non-tree circuit correctly. As entioned in section, we first get a spanning tree of e circuit and calculate e first and second order oents for is tree-circuit. Let e four oents be denoted as tree tree,, non tree, non tree. Fro equation (5) it is clear at e first order oent for e non-tree can be easily coputed by adding one link at a tie and using siple large-changesensitivity analysis. Thus e first oent for node i after adding a link k-l is given by, nontree, i tree tree k tree l,, = i Y, ξ (5) + The question now was to choose between e following two eods for coputing ) Meod : r r r r v ( s) = + s + s r r ˆ s + ˆ Thus r ˆ 0 s + K k r = s + = r k + l l Y sy ξ ξ and r + r ˆ s = r k + k l + s l Y Y ξ ξ non tree This eod was presented in e progress-report and it akes an underlying assuption at e large-change-sensitivity analysis is applicable to ac signal. The eod is shown in Figure a. ) Meod : Figure (b) shows e second eod used. We know at value of depends on at of. In e first eod e eod uses e new values i.e. tree is coputed using e non tree values. tree values, while e second The results in section 5 shows e delay values obtained using bo e eods. PDF created wi pdffactory trial version 7

8 Figure (a): Meod to copute second-order non-tree oent Figure (b): Meod to copute e second-order non-tree oent The entire procedure requires e following steps: ) Given an input interconnect geoetry in rectilinear space; create a C-circuit using e pi-odel. In y progra, e input was taken as a file and each node object knows its node capacitance and connections to oer nodes. Note at in rectilinear space, each node has only 4 possible connections, naely left, top, right and botto. The input file also has e total nuber of nodes, e unit r and unit c values and e driver resistance value. ) This collection of node now fors a graph. Perfor DFS on is graph wi e source node as e root. The DFS traverses only certain edges which for e DFS tree (or spanning tree). The rest of e edges are recorded as e Links of e graph. 3) For e above obtained DFS tree, calculate e oents for each node. Note at e node capacitance for e tree nodes is e sae as e node capacitance of e original (non-tree) circuit. The first oents for e Tree-circuit were calculated using siple pa traversal procedure. The oents obtained for each node of e DFS tree are en updated by adding one link at a tie. The first oent is updated directly using equation (5). The second oents are coputed using bo Meod and Meod as explained above. 4) The basic algori for WED is as follows: Calculate r = /^ Use a look-up table to find θ fro log0(r) Use a look-up table to obtain Γ( + θ) fro θ Let β = -/( Γ( + θ)) The 50% delay td = β(ln)^ θ 5) The Look-up table for finding θ was taken directly fro [], while at for obtaining Γ(+ θ) was generated using MATLAB. First e WED algori was tested for Tree circuits and en was used for Non-tree circuits. In e exaples below, circuit, are fro e hoework probles and e results show at e delay obtained using e WED eod is wiin acceptable range of e spice results. Circuits 3-6 are arbitrarily chosen non-tree topology circuits. PDF created wi pdffactory trial version 8

9 5: esults Here we show e actual C circuits instead of e interconnect geoetry. ) Circuit : Tree Topology Node Spice WED % error.9769e e e e e e e e-8.4 ) Circuit : Tree Topology Node Spice WED % error 3.966e e e e e e e e e e PDF created wi pdffactory trial version

10 3) Circuit 3: Non-tree, Links : (-5) Node Spice Progra % error Progra %error e e e e e e e e e e e e e e e e e e ) Circuit 4: Non-Tree, Links: (-3) Node Spice Progra % error Progra % error e e e e e e e-9.60e e e-9.943e e e e e e-9.34e e e-9.53e e PDF created wi pdffactory trial version 0

11 5) Circuit 5: Links (-4), (-5) Node Spice Progra % error Progra % error 6.308e e e e e e e e e e e e e e e e e e e e e-0.5 6) Circuit 6: Links (-4),(-5), (6-9) Node Spice Progra % error Progra % error.0384e e e e e e e e e PDF created wi pdffactory trial version

12 5.0965e e e e e e e e e e e e e e e e e e : Suary and Conclusion Fro e results it is clear at e delay coputation using Meod have really high percentage error. Meod gives considerably accurate results except of a couple of cases which can be ought of as outliers. Thus we can safely conclude at Meod should be used for higher order oent calculation using e Tree-Link Partitioning algori. In suary second-order delay for C-non tree circuits can be obtained using e Tree-link Partitioning Algori along wi e Weibull based delay approxiation wi quite good accuracy. The coputation tie is considerably low since we do a siple pa tracing for oent calculation and use look-up tables for delay calculation. This is a huge saving as copared to e odel-order reduction techniques at requires non-linear solution eods and ay run into stability issues. eference: [] Paul Penfield and Jorge ubinstein, Signal Delay in C Tree Networks, IEEE Trans. on Coputer- Aided Design, CAD-, (July 983), pp. 0-. [] L. Pileggi, Tiing Metrics for Physical Design of Deep Sub Micron Technologies, Int l Syposiu on Physical Design, April 998 [3] L. T. Pillage and.a. ohrer, Asyptotic Wavefor Evaluation for Tiing Analysis, IEEE Transactions on Coputer Aided Design, 9(4), pp , 990. [4] K. J. Kerns, I. L. Weple, A. T. Yang, Stable and Efficient eduction of Substrate Model Network using Congruence Transforation, ICCAD, Nov [5] B. Tutuianu, F. Dartu and L. Pileggi, An Explicit C-Circuit Delay Approxiation Based on e First Three Moents of e Ipulse esponse, Proc. ACM/IEEE Design Autoation Conf., 996. [6] ony Kay and Lawrence Pileggi, PIMO: Probability Interpretation of Moents for Delay Calculation, Proc. IEEE/ACM Design Autoation Conference, 998 [7] Tao-Lin, Erah Acar, L. Pileggi, h-gaa: An C Delay Metric Based on a Gaa Distribution Approxiation of e Hoogeneous esponse, Proc. IEEE Transactions on Coputer-Aided Design, 6:507-54, Deceber 997 [8] Pak K. Chan and Martine Schlag, Bounds on Signal Delay in C Mesh Network, Proc. IEEE Transactions on Coputer-Aided Design, Vol 8. No. 6, June 989 PDF created wi pdffactory trial version

13 [9] Pak K. Chan and Kevin Karplus, Coputing Signal Delay in General C networks by Tree/Link Partitioning, Proc. IEEE Transactions on Coputer-Aided Design, Vol 9. No. 8, June 990 [0] Lin, Tzu-Mu and Mead, Carver A. (983) Signal Delay in General C Networks wi Application to Tiing Siulation of Digital Integrated Circuits. []. Gupta, B. Tutuianu and L. Pileggi, The Elore Delay as a Bound for C Trees Generalized input signals Proc. IEEE Transactions on Coputer-Aided Design, Vol 6. No., June 997 [] F. Liu, C. V. Kashyap and C. J. Alpert, A Delay Metric for C Circuits Based on e Weibull Distribution, ICCAD 00 PDF created wi pdffactory trial version 3

Short Papers. Crosstalk in VLSI Interconnections

Short Papers. Crosstalk in VLSI Interconnections IEEE TRANSACTIONS ON COPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTES, VOL. 8, NO. 2, DECEBER 999 87 Short Papers Crosstalk in VLSI Interconnections Ashok Vittal, Lauren Hui Chen, algorzata arek-sadowska,

More information

Computer Aided Drafting, Design and Manufacturing Volume 26, Number 2, June 2016, Page 13

Computer Aided Drafting, Design and Manufacturing Volume 26, Number 2, June 2016, Page 13 Coputer Aided Drafting, Design and Manufacturing Volue 26, uber 2, June 2016, Page 13 CADDM 3D reconstruction of coplex curved objects fro line drawings Sun Yanling, Dong Lijun Institute of Mechanical

More information

Performance Analysis of RAID in Different Workload

Performance Analysis of RAID in Different Workload Send Orders for Reprints to reprints@benthascience.ae 324 The Open Cybernetics & Systeics Journal, 2015, 9, 324-328 Perforance Analysis of RAID in Different Workload Open Access Zhang Dule *, Ji Xiaoyun,

More information

Clustering. Cluster Analysis of Microarray Data. Microarray Data for Clustering. Data for Clustering

Clustering. Cluster Analysis of Microarray Data. Microarray Data for Clustering. Data for Clustering Clustering Cluster Analysis of Microarray Data 4/3/009 Copyright 009 Dan Nettleton Group obects that are siilar to one another together in a cluster. Separate obects that are dissiilar fro each other into

More information

Detection of Outliers and Reduction of their Undesirable Effects for Improving the Accuracy of K-means Clustering Algorithm

Detection of Outliers and Reduction of their Undesirable Effects for Improving the Accuracy of K-means Clustering Algorithm Detection of Outliers and Reduction of their Undesirable Effects for Iproving the Accuracy of K-eans Clustering Algorith Bahan Askari Departent of Coputer Science and Research Branch, Islaic Azad University,

More information

Homework 1. An Introduction to Neural Networks

Homework 1. An Introduction to Neural Networks Hoework An Introduction to Neural Networks -785: Introduction to Deep Learning Spring 09 OUT: January 4, 09 DUE: February 6, 09, :59 PM Start Here Collaboration policy: You are expected to coply with the

More information

Different criteria of dynamic routing

Different criteria of dynamic routing Procedia Coputer Science Volue 66, 2015, Pages 166 173 YSC 2015. 4th International Young Scientists Conference on Coputational Science Different criteria of dynaic routing Kurochkin 1*, Grinberg 1 1 Kharkevich

More information

Derivation of an Analytical Model for Evaluating the Performance of a Multi- Queue Nodes Network Router

Derivation of an Analytical Model for Evaluating the Performance of a Multi- Queue Nodes Network Router Derivation of an Analytical Model for Evaluating the Perforance of a Multi- Queue Nodes Network Router 1 Hussein Al-Bahadili, 1 Jafar Ababneh, and 2 Fadi Thabtah 1 Coputer Inforation Systes Faculty of

More information

Novel Image Representation and Description Technique using Density Histogram of Feature Points

Novel Image Representation and Description Technique using Density Histogram of Feature Points Novel Iage Representation and Description Technique using Density Histogra of Feature Points Keneilwe ZUVA Departent of Coputer Science, University of Botswana, P/Bag 00704 UB, Gaborone, Botswana and Tranos

More information

EE 364B Convex Optimization An ADMM Solution to the Sparse Coding Problem. Sonia Bhaskar, Will Zou Final Project Spring 2011

EE 364B Convex Optimization An ADMM Solution to the Sparse Coding Problem. Sonia Bhaskar, Will Zou Final Project Spring 2011 EE 364B Convex Optiization An ADMM Solution to the Sparse Coding Proble Sonia Bhaskar, Will Zou Final Project Spring 20 I. INTRODUCTION For our project, we apply the ethod of the alternating direction

More information

OPTIMAL COMPLEX SERVICES COMPOSITION IN SOA SYSTEMS

OPTIMAL COMPLEX SERVICES COMPOSITION IN SOA SYSTEMS Key words SOA, optial, coplex service, coposition, Quality of Service Piotr RYGIELSKI*, Paweł ŚWIĄTEK* OPTIMAL COMPLEX SERVICES COMPOSITION IN SOA SYSTEMS One of the ost iportant tasks in service oriented

More information

Colorado School of Mines. Computer Vision. Professor William Hoff Dept of Electrical Engineering &Computer Science.

Colorado School of Mines. Computer Vision. Professor William Hoff Dept of Electrical Engineering &Computer Science. Professor Willia Hoff Dept of Electrical Engineering &Coputer Science http://inside.ines.edu/~whoff/ 1 Caera Calibration 2 Caera Calibration Needed for ost achine vision and photograetry tasks (object

More information

Mapping Data in Peer-to-Peer Systems: Semantics and Algorithmic Issues

Mapping Data in Peer-to-Peer Systems: Semantics and Algorithmic Issues Mapping Data in Peer-to-Peer Systes: Seantics and Algorithic Issues Anastasios Keentsietsidis Marcelo Arenas Renée J. Miller Departent of Coputer Science University of Toronto {tasos,arenas,iller}@cs.toronto.edu

More information

A wireless sensor network for visual detection and classification of intrusions

A wireless sensor network for visual detection and classification of intrusions A wireless sensor network for visual detection and classification of intrusions ANDRZEJ SLUZEK 1,3, PALANIAPPAN ANNAMALAI 2, MD SAIFUL ISLAM 1 1 School of Coputer Engineering, 2 IntelliSys Centre Nanyang

More information

Solving the Damage Localization Problem in Structural Health Monitoring Using Techniques in Pattern Classification

Solving the Damage Localization Problem in Structural Health Monitoring Using Techniques in Pattern Classification Solving the Daage Localization Proble in Structural Health Monitoring Using Techniques in Pattern Classification CS 9 Final Project Due Dec. 4, 007 Hae Young Noh, Allen Cheung, Daxia Ge Introduction Structural

More information

An Integrated Processing Method for Multiple Large-scale Point-Clouds Captured from Different Viewpoints

An Integrated Processing Method for Multiple Large-scale Point-Clouds Captured from Different Viewpoints 519 An Integrated Processing Method for Multiple Large-scale Point-Clouds Captured fro Different Viewpoints Yousuke Kawauchi 1, Shin Usuki, Kenjiro T. Miura 3, Hiroshi Masuda 4 and Ichiro Tanaka 5 1 Shizuoka

More information

Modeling Parallel Applications Performance on Heterogeneous Systems

Modeling Parallel Applications Performance on Heterogeneous Systems Modeling Parallel Applications Perforance on Heterogeneous Systes Jaeela Al-Jaroodi, Nader Mohaed, Hong Jiang and David Swanson Departent of Coputer Science and Engineering University of Nebraska Lincoln

More information

The optimization design of microphone array layout for wideband noise sources

The optimization design of microphone array layout for wideband noise sources PROCEEDINGS of the 22 nd International Congress on Acoustics Acoustic Array Systes: Paper ICA2016-903 The optiization design of icrophone array layout for wideband noise sources Pengxiao Teng (a), Jun

More information

A GRAPH-PLANARIZATION ALGORITHM AND ITS APPLICATION TO RANDOM GRAPHS

A GRAPH-PLANARIZATION ALGORITHM AND ITS APPLICATION TO RANDOM GRAPHS A GRAPH-PLANARIZATION ALGORITHM AND ITS APPLICATION TO RANDOM GRAPHS T. Ozawa and H. Takahashi Departent of Electrical Engineering Faculty of Engineering, Kyoto University Kyoto, Japan 606 Abstract. In

More information

Feature Based Registration for Panoramic Image Generation

Feature Based Registration for Panoramic Image Generation IJCSI International Journal of Coputer Science Issues, Vol. 10, Issue 6, No, Noveber 013 www.ijcsi.org 13 Feature Based Registration for Panoraic Iage Generation Kawther Abbas Sallal 1, Abdul-Mone Saleh

More information

Relief shape inheritance and graphical editor for the landscape design

Relief shape inheritance and graphical editor for the landscape design Relief shape inheritance and graphical editor for the landscape design Egor A. Yusov Vadi E. Turlapov Nizhny Novgorod State University after N. I. Lobachevsky Nizhny Novgorod Russia yusov_egor@ail.ru vadi.turlapov@cs.vk.unn.ru

More information

Smarter Balanced Assessment Consortium Claims, Targets, and Standard Alignment for Math

Smarter Balanced Assessment Consortium Claims, Targets, and Standard Alignment for Math Sarter Balanced Assessent Consortiu s, s, Stard Alignent for Math The Sarter Balanced Assessent Consortiu (SBAC) has created a hierarchy coprised of clais targets that together can be used to ake stateents

More information

Ascending order sort Descending order sort

Ascending order sort Descending order sort Scalable Binary Sorting Architecture Based on Rank Ordering With Linear Area-Tie Coplexity. Hatrnaz and Y. Leblebici Departent of Electrical and Coputer Engineering Worcester Polytechnic Institute Abstract

More information

Geo-activity Recommendations by using Improved Feature Combination

Geo-activity Recommendations by using Improved Feature Combination Geo-activity Recoendations by using Iproved Feature Cobination Masoud Sattari Middle East Technical University Ankara, Turkey e76326@ceng.etu.edu.tr Murat Manguoglu Middle East Technical University Ankara,

More information

(Geometric) Camera Calibration

(Geometric) Camera Calibration (Geoetric) Caera Calibration CS635 Spring 217 Daniel G. Aliaga Departent of Coputer Science Purdue University Caera Calibration Caeras and CCDs Aberrations Perspective Projection Calibration Caeras First

More information

A Novel Fast Constructive Algorithm for Neural Classifier

A Novel Fast Constructive Algorithm for Neural Classifier A Novel Fast Constructive Algorith for Neural Classifier Xudong Jiang Centre for Signal Processing, School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue, Singapore

More information

The Internal Conflict of a Belief Function

The Internal Conflict of a Belief Function The Internal Conflict of a Belief Function Johan Schubert Abstract In this paper we define and derive an internal conflict of a belief function We decopose the belief function in question into a set of

More information

Detecting Anomalous Structures by Convolutional Sparse Models

Detecting Anomalous Structures by Convolutional Sparse Models Detecting Anoalous Structures by Convolutional Sparse Models Diego Carrera, Giacoo Boracchi Dipartiento di Elettronica, Inforazione e Bioingegeria Politecnico di Milano, Italy {giacoo.boracchi, diego.carrera}@polii.it

More information

Investigation of The Time-Offset-Based QoS Support with Optical Burst Switching in WDM Networks

Investigation of The Time-Offset-Based QoS Support with Optical Burst Switching in WDM Networks Investigation of The Tie-Offset-Based QoS Support with Optical Burst Switching in WDM Networks Pingyi Fan, Chongxi Feng,Yichao Wang, Ning Ge State Key Laboratory on Microwave and Digital Counications,

More information

A Hybrid Network Architecture for File Transfers

A Hybrid Network Architecture for File Transfers JOURNAL OF IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 6, NO., JANUARY 9 A Hybrid Network Architecture for File Transfers Xiuduan Fang, Meber, IEEE, Malathi Veeraraghavan, Senior Meber,

More information

Adaptive Parameter Estimation Based Congestion Avoidance Strategy for DTN

Adaptive Parameter Estimation Based Congestion Avoidance Strategy for DTN Proceedings of the nd International onference on oputer Science and Electronics Engineering (ISEE 3) Adaptive Paraeter Estiation Based ongestion Avoidance Strategy for DTN Qicai Yang, Futong Qin, Jianquan

More information

Reconstruction of Time Series using Optimal Ordering of ICA Components

Reconstruction of Time Series using Optimal Ordering of ICA Components Reconstruction of Tie Series using Optial Ordering of ICA Coponents Ar Goneid and Abear Kael Departent of Coputer Science & Engineering, The Aerican University in Cairo, Cairo, Egypt e-ail: goneid@aucegypt.edu

More information

Evaluation of a multi-frame blind deconvolution algorithm using Cramér-Rao bounds

Evaluation of a multi-frame blind deconvolution algorithm using Cramér-Rao bounds Evaluation of a ulti-frae blind deconvolution algorith using Craér-Rao bounds Charles C. Beckner, Jr. Air Force Research Laboratory, 3550 Aberdeen Ave SE, Kirtland AFB, New Mexico, USA 87117-5776 Charles

More information

Oblivious Routing for Fat-Tree Based System Area Networks with Uncertain Traffic Demands

Oblivious Routing for Fat-Tree Based System Area Networks with Uncertain Traffic Demands Oblivious Routing for Fat-Tree Based Syste Area Networks with Uncertain Traffic Deands Xin Yuan Wickus Nienaber Zhenhai Duan Departent of Coputer Science Florida State University Tallahassee, FL 3306 {xyuan,nienaber,duan}@cs.fsu.edu

More information

COLOR HISTOGRAM AND DISCRETE COSINE TRANSFORM FOR COLOR IMAGE RETRIEVAL

COLOR HISTOGRAM AND DISCRETE COSINE TRANSFORM FOR COLOR IMAGE RETRIEVAL COLOR HISTOGRAM AND DISCRETE COSINE TRANSFORM FOR COLOR IMAGE RETRIEVAL 1 Te-Wei Chiang ( 蔣德威 ), 2 Tienwei Tsai ( 蔡殿偉 ), 3 Jeng-Ping Lin ( 林正平 ) 1 Dept. of Accounting Inforation Systes, Chilee Institute

More information

The Boundary Between Privacy and Utility in Data Publishing

The Boundary Between Privacy and Utility in Data Publishing The Boundary Between Privacy and Utility in Data Publishing Vibhor Rastogi Dan Suciu Sungho Hong ABSTRACT We consider the privacy proble in data publishing: given a database instance containing sensitive

More information

Using Imperialist Competitive Algorithm in Optimization of Nonlinear Multiple Responses

Using Imperialist Competitive Algorithm in Optimization of Nonlinear Multiple Responses International Journal of Industrial Engineering & Production Research Septeber 03, Volue 4, Nuber 3 pp. 9-35 ISSN: 008-4889 http://ijiepr.iust.ac.ir/ Using Iperialist Copetitive Algorith in Optiization

More information

Image Filter Using with Gaussian Curvature and Total Variation Model

Image Filter Using with Gaussian Curvature and Total Variation Model IJECT Vo l. 7, Is s u e 3, Ju l y - Se p t 016 ISSN : 30-7109 (Online) ISSN : 30-9543 (Print) Iage Using with Gaussian Curvature and Total Variation Model 1 Deepak Kuar Gour, Sanjay Kuar Shara 1, Dept.

More information

Predicting x86 Program Runtime for Intel Processor

Predicting x86 Program Runtime for Intel Processor Predicting x86 Progra Runtie for Intel Processor Behra Mistree, Haidreza Haki Javadi, Oid Mashayekhi Stanford University bistree,hrhaki,oid@stanford.edu 1 Introduction Progras can be equivalent: given

More information

Scheduling Parallel Task Graphs on (Almost) Homogeneous Multi-cluster Platforms

Scheduling Parallel Task Graphs on (Almost) Homogeneous Multi-cluster Platforms 1 Scheduling Parallel Task Graphs on (Alost) Hoogeneous Multi-cluster Platfors Pierre-François Dutot, Tchiou N Takpé, Frédéric Suter and Henri Casanova Abstract Applications structured as parallel task

More information

Identifying Converging Pairs of Nodes on a Budget

Identifying Converging Pairs of Nodes on a Budget Identifying Converging Pairs of Nodes on a Budget Konstantina Lazaridou Departent of Inforatics Aristotle University, Thessaloniki, Greece konlaznik@csd.auth.gr Evaggelia Pitoura Coputer Science and Engineering

More information

Energy-Efficient Disk Replacement and File Placement Techniques for Mobile Systems with Hard Disks

Energy-Efficient Disk Replacement and File Placement Techniques for Mobile Systems with Hard Disks Energy-Efficient Disk Replaceent and File Placeent Techniques for Mobile Systes with Hard Disks Young-Jin Ki School of Coputer Science & Engineering Seoul National University Seoul 151-742, KOREA youngjk@davinci.snu.ac.kr

More information

IMAGE MOSAICKING FOR ESTIMATING THE MOTION OF AN UNDERWATER VEHICLE. Rafael García, Xevi Cufí and Lluís Pacheco

IMAGE MOSAICKING FOR ESTIMATING THE MOTION OF AN UNDERWATER VEHICLE. Rafael García, Xevi Cufí and Lluís Pacheco IMAGE MOSAICKING FOR ESTIMATING THE MOTION OF AN UNDERWATER VEHICLE Rafael García, Xevi Cufí and Lluís Pacheco Coputer Vision and Robotics Group Institute of Inforatics and Applications, University of

More information

Scheduling Parallel Real-Time Recurrent Tasks on Multicore Platforms

Scheduling Parallel Real-Time Recurrent Tasks on Multicore Platforms IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL., NO., NOV 27 Scheduling Parallel Real-Tie Recurrent Tasks on Multicore Platfors Risat Pathan, Petros Voudouris, and Per Stenströ Abstract We

More information

A New Generic Model for Vision Based Tracking in Robotics Systems

A New Generic Model for Vision Based Tracking in Robotics Systems A New Generic Model for Vision Based Tracking in Robotics Systes Yanfei Liu, Ada Hoover, Ian Walker, Ben Judy, Mathew Joseph and Charly Heranson lectrical and Coputer ngineering Departent Cleson University

More information

An Ad Hoc Adaptive Hashing Technique for Non-Uniformly Distributed IP Address Lookup in Computer Networks

An Ad Hoc Adaptive Hashing Technique for Non-Uniformly Distributed IP Address Lookup in Computer Networks An Ad Hoc Adaptive Hashing Technique for Non-Uniforly Distributed IP Address Lookup in Coputer Networks Christopher Martinez Departent of Electrical and Coputer Engineering The University of Texas at San

More information

International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October ISSN

International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October ISSN International Journal of Scientific & Engineering Research, Volue 4, Issue 0, October-203 483 Design an Encoding Technique Using Forbidden Transition free Algorith to Reduce Cross-Talk for On-Chip VLSI

More information

Secure Wireless Multihop Transmissions by Intentional Collisions with Noise Wireless Signals

Secure Wireless Multihop Transmissions by Intentional Collisions with Noise Wireless Signals Int'l Conf. Wireless etworks ICW'16 51 Secure Wireless Multihop Transissions by Intentional Collisions with oise Wireless Signals Isau Shiada 1 and Hiroaki Higaki 1 1 Tokyo Denki University, Japan Abstract

More information

Depth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution Method

Depth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution Method Aerican Journal of Applied Sciences 1 (3): 209-214, 2004 ISSN 1546-9239 Science Publications, 2004 Depth Estiation of 2-D Magnetic Anoalous Sources by Using Euler Deconvolution Method 1,3 M.G. El Dawi,

More information

News Events Clustering Method Based on Staging Incremental Single-Pass Technique

News Events Clustering Method Based on Staging Incremental Single-Pass Technique News Events Clustering Method Based on Staging Increental Single-Pass Technique LI Yongyi 1,a *, Gao Yin 2 1 School of Electronics and Inforation Engineering QinZhou University 535099 Guangxi, China 2

More information

NON-RIGID OBJECT TRACKING: A PREDICTIVE VECTORIAL MODEL APPROACH

NON-RIGID OBJECT TRACKING: A PREDICTIVE VECTORIAL MODEL APPROACH NON-RIGID OBJECT TRACKING: A PREDICTIVE VECTORIAL MODEL APPROACH V. Atienza; J.M. Valiente and G. Andreu Departaento de Ingeniería de Sisteas, Coputadores y Autoática Universidad Politécnica de Valencia.

More information

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, August 23, 2004, 12:38 PM) PART III: CHAPTER ONE DIFFUSERS FOR CGH S

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, August 23, 2004, 12:38 PM) PART III: CHAPTER ONE DIFFUSERS FOR CGH S COPUTER GEERATED HOLOGRAS Optical Sciences 67 W.J. Dallas (onday, August 3, 004, 1:38 P) PART III: CHAPTER OE DIFFUSERS FOR CGH S Part III: Chapter One Page 1 of 8 Introduction Hologras for display purposes

More information

MiPPS: A Generative Model for Multi-Manifold Clustering

MiPPS: A Generative Model for Multi-Manifold Clustering Manifold Learning and its Applications: Papers fro the AAAI Fall Syposiu (FS-9-) MiPPS: A Generative Model for Multi-Manifold Clustering Oluwasani Koyejo and Joydeep Ghosh Electrical and Coputer Engineering

More information

I ve Seen Enough : Incrementally Improving Visualizations to Support Rapid Decision Making

I ve Seen Enough : Incrementally Improving Visualizations to Support Rapid Decision Making I ve Seen Enough : Increentally Iproving Visualizations to Support Rapid Decision Making Sajjadur Rahan Marya Aliakbarpour 2 Ha Kyung Kong Eric Blais 3 Karrie Karahalios,4 Aditya Paraeswaran Ronitt Rubinfield

More information

Planet Scale Software Updates

Planet Scale Software Updates Planet Scale Software Updates Christos Gkantsidis 1, Thoas Karagiannis 2, Pablo Rodriguez 1, and Milan Vojnović 1 1 Microsoft Research 2 UC Riverside Cabridge, UK Riverside, CA, USA {chrisgk,pablo,ilanv}@icrosoft.co

More information

MGS-SIFT: A New Illumination Invariant Feature Based on SIFT Descriptor

MGS-SIFT: A New Illumination Invariant Feature Based on SIFT Descriptor International Journal of Coputer Theory and Engineering, Vol 5, No, February 0 MGS-SIFT: A New Illuination Invariant Feature Based on SIFT Descriptor Reza Javanard Alitappeh and Fariborz Mahoudi Abstract

More information

Distributed Multicast Tree Construction in Wireless Sensor Networks

Distributed Multicast Tree Construction in Wireless Sensor Networks Distributed Multicast Tree Construction in Wireless Sensor Networks Hongyu Gong, Luoyi Fu, Xinzhe Fu, Lutian Zhao 3, Kainan Wang, and Xinbing Wang Dept. of Electronic Engineering, Shanghai Jiao Tong University,

More information

Cassia County School District #151. Expected Performance Assessment Students will: Instructional Strategies. Performance Standards

Cassia County School District #151. Expected Performance Assessment Students will: Instructional Strategies. Performance Standards Unit 1 Congruence, Proof, and Constructions Doain: Congruence (CO) Essential Question: How do properties of congruence help define and prove geoetric relationships? Matheatical Practices: 1. Make sense

More information

6.1 Topological relations between two simple geometric objects

6.1 Topological relations between two simple geometric objects Chapter 5 proposed a spatial odel to represent the spatial extent of objects in urban areas. The purpose of the odel, as was clarified in Chapter 3, is ultifunctional, i.e. it has to be capable of supplying

More information

A Broadband Spectrum Sensing Algorithm in TDCS Based on ICoSaMP Reconstruction

A Broadband Spectrum Sensing Algorithm in TDCS Based on ICoSaMP Reconstruction MATEC Web of Conferences 73, 03073(08) https://doi.org/0.05/atecconf/087303073 SMIMA 08 A roadband Spectru Sensing Algorith in TDCS ased on I Reconstruction Liu Yang, Ren Qinghua, Xu ingzheng and Li Xiazhao

More information

Calculation of the blocking factor in heliostat fields

Calculation of the blocking factor in heliostat fields Available online at www.sciencedirect.co ScienceDirect Energy Procedia 57 (014 ) 91 300 013 ISES Solar World Congress Calculation of the blocking factor in heliostat fields Mustafa E. Elayeb a *, Rajab

More information

An Efficient Approach for Content Delivery in Overlay Networks

An Efficient Approach for Content Delivery in Overlay Networks An Efficient Approach for Content Delivery in Overlay Networks Mohaad Malli, Chadi Barakat, Walid Dabbous Projet Planète, INRIA-Sophia Antipolis, France E-ail:{alli, cbarakat, dabbous}@sophia.inria.fr

More information

DETC2002/DAC DECOMPOSITION-BASED ASSEMBLY SYNTHESIS FOR IN-PROCESS DIMENSIONAL ADJUSTABILITY. Proceedings of DETC 02

DETC2002/DAC DECOMPOSITION-BASED ASSEMBLY SYNTHESIS FOR IN-PROCESS DIMENSIONAL ADJUSTABILITY. Proceedings of DETC 02 Proceedings of DETC 0 ASME 00 Design Engineering Technical Conferences and Coputer and Inforation in Engineering Conference Montreal, Canada, Septeber 9-October, 00 DETC00/DAC-08 DECOMPOSITION-BASED ASSEMBLY

More information

COLLABORATIVE BEAMFORMING FOR WIRELESS AD-HOC NETWORKS

COLLABORATIVE BEAMFORMING FOR WIRELESS AD-HOC NETWORKS International Journal of Coputer Science and Counication Vol. 3, No. 1, January-June 2012, pp. 181-185 COLLABORATIVE BEAMFORMING FOR WIRELESS AD-HOC NETWORKS A.H. Karode 1, S.R. Suralkar 2, Manoj Bagde

More information

Intelligent Robotic System with Fuzzy Learning Controller and 3D Stereo Vision

Intelligent Robotic System with Fuzzy Learning Controller and 3D Stereo Vision Recent Researches in Syste Science Intelligent Robotic Syste with Fuzzy Learning Controller and D Stereo Vision SHIUH-JER HUANG Departent of echanical Engineering National aiwan University of Science and

More information

A Fast Multi-Objective Genetic Algorithm for Hardware-Software Partitioning In Embedded System Design

A Fast Multi-Objective Genetic Algorithm for Hardware-Software Partitioning In Embedded System Design A Fast Multi-Obective Genetic Algorith for Hardware-Software Partitioning In Ebedded Syste Design 1 M.Jagadeeswari, 2 M.C.Bhuvaneswari 1 Research Scholar, P.S.G College of Technology, Coibatore, India

More information

A simplified approach to merging partial plane images

A simplified approach to merging partial plane images A siplified approach to erging partial plane iages Mária Kruláková 1 This paper introduces a ethod of iage recognition based on the gradual generating and analysis of data structure consisting of the 2D

More information

Joint Measurement- and Traffic Descriptor-based Admission Control at Real-Time Traffic Aggregation Points

Joint Measurement- and Traffic Descriptor-based Admission Control at Real-Time Traffic Aggregation Points Joint Measureent- and Traffic Descriptor-based Adission Control at Real-Tie Traffic Aggregation Points Stylianos Georgoulas, Panos Triintzios and George Pavlou Centre for Counication Systes Research, University

More information

Verifying the structure and behavior in UML/OCL models using satisfiability solvers

Verifying the structure and behavior in UML/OCL models using satisfiability solvers IET Cyber-Physical Systes: Theory & Applications Review Article Verifying the structure and behavior in UML/OCL odels using satisfiability solvers ISSN 2398-3396 Received on 20th October 2016 Revised on

More information

Video summarization based on shot boundary detection with penalized contrasts

Video summarization based on shot boundary detection with penalized contrasts Video suarization based on shot boundary detection with penalized contrasts Paschalina Medentzidou and Constantine Kotropoulos Departent of Inforatics Aristotle University of Thessaloniki Thessaloniki

More information

Resolution. Super-Resolution Imaging. Problem

Resolution. Super-Resolution Imaging. Problem Resolution Super-Resolution Iaging Resolution: Sallest easurable detail in a visual presentation Subhasis Chaudhuri Departent of Electrical Engineering Indian institute of Technology Bobay Powai, Mubai-400

More information

Utility-Based Resource Allocation for Mixed Traffic in Wireless Networks

Utility-Based Resource Allocation for Mixed Traffic in Wireless Networks IEEE IFOCO 2 International Workshop on Future edia etworks and IP-based TV Utility-Based Resource Allocation for ixed Traffic in Wireless etworks Li Chen, Bin Wang, Xiaohang Chen, Xin Zhang, and Dacheng

More information

Analysing Real-Time Communications: Controller Area Network (CAN) *

Analysing Real-Time Communications: Controller Area Network (CAN) * Analysing Real-Tie Counications: Controller Area Network (CAN) * Abstract The increasing use of counication networks in tie critical applications presents engineers with fundaental probles with the deterination

More information

Deterministic Voting in Distributed Systems Using Error-Correcting Codes

Deterministic Voting in Distributed Systems Using Error-Correcting Codes IEEE TRASACTIOS O PARALLEL AD DISTRIBUTED SYSTEMS, VOL. 9, O. 8, AUGUST 1998 813 Deterinistic Voting in Distributed Systes Using Error-Correcting Codes Lihao Xu and Jehoshua Bruck, Senior Meber, IEEE Abstract

More information

Automatic Graph Drawing Algorithms

Automatic Graph Drawing Algorithms Autoatic Graph Drawing Algoriths Susan Si sisuz@turing.utoronto.ca Deceber 7, 996. Ebeddings of graphs have been of interest to theoreticians for soe tie, in particular those of planar graphs and graphs

More information

Gromov-Hausdorff Distance Between Metric Graphs

Gromov-Hausdorff Distance Between Metric Graphs Groov-Hausdorff Distance Between Metric Graphs Jiwon Choi St Mark s School January, 019 Abstract In this paper we study the Groov-Hausdorff distance between two etric graphs We copute the precise value

More information

λ-harmonious Graph Colouring Lauren DeDieu

λ-harmonious Graph Colouring Lauren DeDieu λ-haronious Graph Colouring Lauren DeDieu June 12, 2012 ABSTRACT In 198, Hopcroft and Krishnaoorthy defined a new type of graph colouring called haronious colouring. Haronious colouring is a proper vertex

More information

Weeks 1 3 Weeks 4 6 Unit/Topic Number and Operations in Base 10

Weeks 1 3 Weeks 4 6 Unit/Topic Number and Operations in Base 10 Weeks 1 3 Weeks 4 6 Unit/Topic Nuber and Operations in Base 10 FLOYD COUNTY SCHOOLS CURRICULUM RESOURCES Building a Better Future for Every Child - Every Day! Suer 2013 Subject Content: Math Grade 3rd

More information

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches Efficient Estiation of Inclusion Coefficient using HyperLogLog Sketches Azade Nazi, Bolin Ding, Vivek Narasayya, Surajit Chaudhuri Microsoft Research {aznazi, bolind, viveknar, surajitc}@icrosoft.co ABSTRACT

More information

Development of an Integrated Cost Estimation and Cost Control System for Construction Projects

Development of an Integrated Cost Estimation and Cost Control System for Construction Projects ABSTRACT Developent of an Integrated Estiation and Control Syste for Construction s by Salan Azhar, Syed M. Ahed and Aaury A. Caballero Florida International University 0555 W. Flagler Street, Miai, Florida

More information

Effects of Desingularization and Collocation-Point Shift on Steady Waves with Forward Speed

Effects of Desingularization and Collocation-Point Shift on Steady Waves with Forward Speed Effects of Desingularization and Collocation-Point Shift on Steady Waves with Forward Speed Yonghwan Ki* & Dick K.P. Yue** Massachusetts Institute of Technology, Departent of Ocean Engineering, Cabridge,

More information

MAC schemes - Fixed-assignment schemes

MAC schemes - Fixed-assignment schemes MAC schees - Fixed-assignent schees M. Veeraraghavan, April 6, 04 Mediu Access Control (MAC) schees are echaniss for sharing a single link. MAC schees are essentially ultiplexing schees. For exaple, on

More information

POSITION-PATCH BASED FACE HALLUCINATION VIA LOCALITY-CONSTRAINED REPRESENTATION. Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, and Kebin Huang

POSITION-PATCH BASED FACE HALLUCINATION VIA LOCALITY-CONSTRAINED REPRESENTATION. Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, and Kebin Huang IEEE International Conference on ultiedia and Expo POSITION-PATCH BASED FACE HALLUCINATION VIA LOCALITY-CONSTRAINED REPRESENTATION Junjun Jiang, Ruiin Hu, Zhen Han, Tao Lu, and Kebin Huang National Engineering

More information

Module Contact: Dr Rudy Lapeer (CMP) Copyright of the University of East Anglia Version 1

Module Contact: Dr Rudy Lapeer (CMP) Copyright of the University of East Anglia Version 1 UNIVERSITY OF EAST ANGLIA School of Coputing Sciences Main Series UG Exaination 2016-17 GRAPHICS 1 CMP-5010B Tie allowed: 2 hours Answer THREE questions. Notes are not peritted in this exaination Do not

More information

Theoretical Analysis of Local Search and Simple Evolutionary Algorithms for the Generalized Travelling Salesperson Problem

Theoretical Analysis of Local Search and Simple Evolutionary Algorithms for the Generalized Travelling Salesperson Problem Theoretical Analysis of Local Search and Siple Evolutionary Algoriths for the Generalized Travelling Salesperson Proble Mojgan Pourhassan ojgan.pourhassan@adelaide.edu.au Optiisation and Logistics, The

More information

KS3 Maths Progress Delta 2-year Scheme of Work

KS3 Maths Progress Delta 2-year Scheme of Work KS3 Maths Progress Delta 2-year Schee of Work See the spreadsheet for the detail. Essentially this is an express route through our higher-ability KS3 Maths Progress student books Delta 1, 2 and 3 as follows:

More information

On the Computation and Application of Prototype Point Patterns

On the Computation and Application of Prototype Point Patterns On the Coputation and Application of Prototype Point Patterns Katherine E. Tranbarger Freier 1 and Frederic Paik Schoenberg 2 Abstract This work addresses coputational probles related to the ipleentation

More information

Heterogeneous Radial Basis Function Networks

Heterogeneous Radial Basis Function Networks Proceedings of the International Conference on Neural Networks (ICNN ), vol. 2, pp. 23-2, June. Heterogeneous Radial Basis Function Networks D. Randall Wilson, Tony R. Martinez e-ail: randy@axon.cs.byu.edu,

More information

O-Snap: Optimization-Based Snapping for Modeling Architecture

O-Snap: Optimization-Based Snapping for Modeling Architecture O-Snap: Optiization-Based Snapping for Modeling Architecture MURAT ARIKAN Vienna University of Technology MICHAEL SCHWÄRZLER VRVis Research Center SIMON FLÖRY and MICHAEL WIMMER Vienna University of Technology

More information

A Model Free Automatic Tuning Method for a Restricted Structured Controller. by using Simultaneous Perturbation Stochastic Approximation

A Model Free Automatic Tuning Method for a Restricted Structured Controller. by using Simultaneous Perturbation Stochastic Approximation 28 Aerican Control Conference Westin Seattle Hotel, Seattle, Washington, USA June -3, 28 WeC9.5 A Model Free Autoatic Tuning Method for a Restricted Structured Controller by Using Siultaneous Perturbation

More information

IN many interactive multimedia streaming applications, such

IN many interactive multimedia streaming applications, such 840 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 8, NO. 5, MAY 06 A Geoetric Approach to Server Selection for Interactive Video Streaing Yaochen Hu, Student Meber, IEEE, DiNiu, Meber, IEEE, and Zongpeng Li, Senior

More information

Optimized stereo reconstruction of free-form space curves based on a nonuniform rational B-spline model

Optimized stereo reconstruction of free-form space curves based on a nonuniform rational B-spline model 1746 J. Opt. Soc. A. A/ Vol. 22, No. 9/ Septeber 2005 Y. J. Xiao and Y. F. Li Optiized stereo reconstruction of free-for space curves based on a nonunifor rational B-spline odel Yi Jun Xiao Departent of

More information

Hand Gesture Recognition for Human-Computer Interaction

Hand Gesture Recognition for Human-Computer Interaction Journal of Coputer Science 6 (9): 002-007, 200 ISSN 549-3636 200 Science Publications Hand Gesture Recognition for Huan-Coputer Interaction S. ohaed ansoor Rooi, R. Jyothi Priya and H. Jayalakshi Departent

More information

Fair Energy-Efficient Sensing Task Allocation in Participatory Sensing with Smartphones

Fair Energy-Efficient Sensing Task Allocation in Participatory Sensing with Smartphones Advance Access publication on 24 February 2017 The British Coputer Society 2017. All rights reserved. For Perissions, please eail: journals.perissions@oup.co doi:10.1093/cojnl/bxx015 Fair Energy-Efficient

More information

A High-Speed VLSI Fuzzy Inference Processor for Trapezoid-Shaped Membership Functions *

A High-Speed VLSI Fuzzy Inference Processor for Trapezoid-Shaped Membership Functions * JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 21, 607-626 (2005) A High-Speed VLSI Fuzzy Inference Processor for Trapezoid-Shaped Mebership Functions * SHIH-HSU HUANG AND JIAN-YUAN LAI + Departent of

More information

Ming-Wei Lee 1, Wei-Tso Lin 1, Yu-Ching Ni 2, Meei-Ling Jan 2, Yi-Chun Chen 1 * National Central University

Ming-Wei Lee 1, Wei-Tso Lin 1, Yu-Ching Ni 2, Meei-Ling Jan 2, Yi-Chun Chen 1 * National Central University Rapid Constructions of Circular-Orbit Pinhole SPECT Iaging Syste Matrices by Gaussian Interpolation Method Cobined with Geoetric Paraeter Estiations (GIMGPE Ming-Wei Lee, Wei-Tso Lin, Yu-Ching Ni, Meei-Ling

More information

ANALYSIS AND RECOVERY OF SYSTEMATIC ERRORS IN AIRBORNE LASER SYSTEM

ANALYSIS AND RECOVERY OF SYSTEMATIC ERRORS IN AIRBORNE LASER SYSTEM ANALYSIS AND RECOVERY OF SYSTEMATIC ERRORS IN AIRBORNE LASER SYSTEM Zhihe Wang*, Rong Shu,Weiing Xu, Hongyi Pu, Bo Yao Shanghai Institute of Technical Physics, CAS, 500 Yutian Road, Shanghai 200083, P.

More information

Designing High Performance Web-Based Computing Services to Promote Telemedicine Database Management System

Designing High Performance Web-Based Computing Services to Promote Telemedicine Database Management System Designing High Perforance Web-Based Coputing Services to Proote Teleedicine Database Manageent Syste Isail Hababeh 1, Issa Khalil 2, and Abdallah Khreishah 3 1: Coputer Engineering & Inforation Technology,

More information

Mirror Localization for a Catadioptric Imaging System by Projecting Parallel Lights

Mirror Localization for a Catadioptric Imaging System by Projecting Parallel Lights 2007 IEEE International Conference on Robotics and Autoation Roa, Italy, 10-14 April 2007 FrC2.5 Mirror Localization for a Catadioptric Iaging Syste by Projecting Parallel Lights Ryusuke Sagawa, Nobuya

More information

A Study of the Relationship Between Support Vector Machine and Gabriel Graph

A Study of the Relationship Between Support Vector Machine and Gabriel Graph A Study of the Relationship Between Support Vector Machine and Gabriel Graph Wan Zhang and Irwin King {wzhang, king}@cse.cuhk.edu.hk Departent of Coputer Science & Engineering The Chinese University of

More information