Concurrent Error Detection for Reliable SHA-3 Design
|
|
- Sharyl Adelia Casey
- 6 years ago
- Views:
Transcription
1 5/18/ Cncurrent Errr Detectin fr Reliable SHA-3 Design Pei LUO 1 Cheng LI 2 Yunsi FEI 1 1. Nrtheastern Universit Energ-Efficient and Secure Sstems Lab Electrical & Cmputer Engineering Department Nrtheastern Universit 2. Intel Labs
2 5/18/ Outline Mtivatin Preliminar f SHA-3 Prtectin f peratins in SHA-3 Fault injectin attacks simulatin results Cnclusin
3 5/18/ Mtivatin Widel use f Keccak SHA-3 has been standardied b NIST [1] Keccak based candidates enter the 2 nd rund f CAESAR cmpetitin cmpetitin fr authenticated encrptin Fault injectin attacks n SHA-3 Single-bit faults injected at the penultimate rund input can be used t cnquer SHA-3 [2] Our wrk shws that attackers need nl 17 single-bte faults t cnquer SHA-3 Technlg scales dwn transient faults increase - reliabilit [1] Dwrkin Mrris J. "SHA-3 Standard: Permutatin-Based Hash and Etendable-Output Functins." Federal Inf. Prcess. Stds. NIST FIPS-202 August [2] Bagheri Nasur Navid Ghaedi and Smitra Kumar Sanadha. "Differential Fault Analsis f SHA-3." Prgress in Crptlg INDOCRYPT Springer Internatinal Publishing
4 5/18/ Mtivatin Hw t prtect SHA-3 against randm errrs and fault injectin attacks? Intrduce redundanc int the sstem Imprve reliabilit but nt against fault injectins Make use f rund rtatin invariance prpert [1] [2] Intrduce high redundanc f either area r time cnsumptin f ROT 1 f ROT Intrduce errr detectin cdes Parit checking cde is efficient and widel used Ke pint: hw t make use f the features f Keccak [1] Baat-Sarmadi et al. "Efficient and cncurrent reliable realiatin f the secure crptgraphic SHA-3 algrithm." Cmputer-Aided Design f Integrated Circuits and Sstems IEEE Transactins n : [2] Lu Pei et al. "An Imprvement f Bth Securit and Reliabilit fr Keccak Implementatins n Smart Card."
5 5/18/ Outline Mtivatin Preliminar f SHA-3 Prtectin f each peratin in SHA-3 Fault injectin attacks simulatin results Cnclusin
6 5/18/ Preliminar f SHA-3
7 5/18/ Preliminar f SHA-3 24 runds 5 peratins in each rund
8 Preliminar f SHA i 4 0 i 4 0 i + θ θ θ θ 5/18/2016 8
9 5/18/ Preliminar f SHA-3 ρ changes the psitins f bits alng each lane
10 5/18/ Preliminar f SHA-3 changes π the psitins f bits inside each slice
11 Preliminar f SHA invlves nnlinear peratins : i i i + + χ χ χ χ χ 5/18/
12 5/18/ Outline Mtivatin Preliminar f SHA-3 Prtectin f peratins in SHA-3 Fault injectin attacks simulatin results Cnclusin
13 5/18/ Prtectin structure θ θ Prtectr ρ' ρ' Prtectr χ ι χ' Prtectr
14 θ Prtectin f 1 i θ θ Which can be simplified as: 5/18/
15 θ Prtectin f ] [ ] [ i i P P θ θ θ θ [0...63] 1 ] [ ] [ i + P P θ θ 5/18/ Parit checking f peratin θ is ver efficient
16 5/18/ Prtectin f ρ and π Bth ρ and π are bit rtatin peratins withut changing the value Bth ρ and π are implemented using wire in hardware n registers intrduced Faults in ρ will prpagate directl int π Prtectin f ρ and π: Can be mitted fr higher efficienc Can be cmbined tgether
17 pitfall a - f Prtectin χ b a e e a e d d e d c c d c b b c b a a a e e d d c c b b a e d c b a peratin as the input f ne rw f Dente e d c b a χ 5/18/ If a flips with a 50% prbabilit the errr ma nt change the parit
18 χ Prtectin f 2 1 in which ] [ 2 ] [ ] [ ] [ i i and and i i P P P P χ χ χ χ χ χ χ 5/18/ Avid t cmpress bits in each rw Invlves nl AND and XOR peratins
19 5/18/ Outline Mtivatin Preliminar f SHA-3 Prtectin f each peratin in SHA-3 Fault injectin attacks simulatin results Cnclusin
20 5/18/ Fault injectin attacks simulatin Mdeled in VHDL [1] 45 nm Opencell librar Snthesied in Cadence Encunter RTL Cmpiler Placed and ruted using Cadence Encunter Overhead estimated using Cncurrent Surces 1.1 V 25 Celsius degree Faults injected at gate level Randml inject stuck-at-0 and stuck-at-1 faults int up t ten gates [1]
21 5/18/ Simulatin results Prpsed: cmbine prtectin f χ and ι ρ and π unprtected Design 2: prtect χ and ι separatel ρ and π unprtected Design 3: cmbine prtectin f χ and ι prtect ρ and π tgether um 2 Area Timing Pwer Nrmalied % ns Nrmalied % mw Nrmalied % Errr Cverage Original % Prpsed % Design % Design %
22 5/18/ Simulatin results Prpsed: cmbine prtectin f χ and ι leave ρ and π unprtected Design 2: prtect χ and ι separatel leave ρ and π unprtected Design 3: cmbine prtectin f χ and ι prtect ρ and π tgether um 2 Area Timing Pwer Nrmalied % ns Nrmalied % mw Nrmalied % Errr Cverage Original % Prpsed % Design % Design %
23 5/18/ Simulatin results Prpsed: cmbine prtectin f χ and ι leave ρ and π unprtected Design 2: prtect χ and ι separatel leave ρ and π unprtected Design 3: cmbine prtectin f χ and ι prtect ρ and π tgether um 2 Area Timing Pwer Nrmalied % ns Nrmalied % mw Nrmalied % Errr Cverage Original % Prpsed % Design % Design %
24 5/18/ Simulatin results The prpsed scheme has lw verhead and high errr cverage Prtectin f χ and ι can be cmbined fr lwer verhead Prtectin f ρ and π can be saved fr hardware implementatins Prtectin f ρ and π shuld be implemented fr pipelined design
25 5/18/ Outline Mtivatin Preliminar f SHA-3 Prtectin f each peratin in SHA-3 Fault injectin attacks simulatin results Cnclusin
26 5/18/ Cnclusin SHA-3 shuld be prtected against randm errrs r fault injectin attacks Our wrk Eplit the features f SHA-3 fr efficient errr detectin design Overhead is small while the errr detectin rate is high Future wrk is t eplre mre efficient errr detectin methds fr SHA-3
27 5/18/ Acknwledgment The authrs wuld like t thank Dr. Re Xiafei Gu at Intel fr his help This wrk was supprted in part b Natinal Science Fundatin under grants SaTC and MRI
28 5/18/ Thanks!
ECE 545 Project Deliverables
ECE 545 Prject Deliverables Tp-level flder: _ Secnd-level flders: 1_assumptins 2_blck_diagrams 3_interface 4_ASM_charts 5_surce_cde 6_verificatin 7_timing_analysis 8_results
More informationPhysical Layer: Outline
18-: Intrductin t Telecmmunicatin Netwrks Lectures : Physical Layer Peter Steenkiste Spring 01 www.cs.cmu.edu/~prs/nets-ece Physical Layer: Outline Digital Representatin f Infrmatin Characterizatin f Cmmunicatin
More informationMultiple Source Multiple. using Network Coding
Multiple Surce Multiple Destinatin Tplgy Inference using Netwrk Cding Pegah Sattari EECS, UC Irvine Jint wrk with Athina Markpulu, at UCI, Christina Fraguli, at EPFL, Lausanne Outline Netwrk Tmgraphy Gal,
More informationA Scalable Recurrent Neural Network Framework for Model-free
A Scalable Recurrent Neural Netwrk Framewrk fr Mdel-free POMDPs April 3, 2007 Zhenzhen Liu, Itamar Elhanany Machine Intelligence Lab Department f Electrical and Cmputer Engineering The University f Tennessee
More informationLeast Squares Optimal Filtering with Multirate Observations
Prc. 36th Asilmar Cnf. n Signals, Systems, and Cmputers, Pacific Grve, CA, Nvember 2002 Least Squares Optimal Filtering with Multirate Observatins Charles W. herrien and Anthny H. Hawes Department f Electrical
More informationDetermining the Accuracy of Modal Parameter Estimation Methods
Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system
More informationChapter 3 Digital Transmission Fundamentals
Chapter 3 Digital Transmissin Fundamentals Errr Detectin and Crrectin CSE 3213, Winter 2010 Instructr: Frhar Frzan Mdul-2 Arithmetic Mdul 2 arithmetic is perfrmed digit y digit n inary numers. Each digit
More information, which yields. where z1. and z2
The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin
More informationBootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >
Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);
More informationBuilding research leadership consortia for Quantum Technology Research Hubs. Call type: Expression of Interest
Building research leadership cnsrtia fr Quantum Technlgy Research Hubs Call type: Expressin f Interest Clsing date: 17:00, 07 August 2018 Hw t apply: Expressin f Interest (EI) fr research leaders t attend
More informationCHAPTER 2 Algebraic Expressions and Fundamental Operations
CHAPTER Algebraic Expressins and Fundamental Operatins OBJECTIVES: 1. Algebraic Expressins. Terms. Degree. Gruping 5. Additin 6. Subtractin 7. Multiplicatin 8. Divisin Algebraic Expressin An algebraic
More informationmaking triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y=
Intrductin t Vectrs I 21 Intrductin t Vectrs I 22 I. Determine the hrizntal and vertical cmpnents f the resultant vectr by cunting n the grid. X= y= J. Draw a mangle with hrizntal and vertical cmpnents
More informationA New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation
III-l III. A New Evaluatin Measure J. Jiner and L. Werner Abstract The prblems f evaluatin and the needed criteria f evaluatin measures in the SMART system f infrmatin retrieval are reviewed and discussed.
More informationTime, Synchronization, and Wireless Sensor Networks
Time, Synchrnizatin, and Wireless Sensr Netwrks Part II Ted Herman University f Iwa Ted Herman/March 2005 1 Presentatin: Part II metrics and techniques single-hp beacns reginal time znes ruting-structure
More informationMethods for Determination of Mean Speckle Size in Simulated Speckle Pattern
0.478/msr-04-004 MEASUREMENT SCENCE REVEW, Vlume 4, N. 3, 04 Methds fr Determinatin f Mean Speckle Size in Simulated Speckle Pattern. Hamarvá, P. Šmíd, P. Hrváth, M. Hrabvský nstitute f Physics f the Academy
More informationENG2410 Digital Design Arithmetic Circuits
ENG24 Digital Design Arithmetic Circuits Fall 27 S. Areibi Schl f Engineering University f Guelph Recall: Arithmetic -- additin Binary additin is similar t decimal arithmetic N carries + + Remember: +
More informationPerfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart
Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Sandy D. Balkin Dennis K. J. Lin y Pennsylvania State University, University Park, PA 16802 Sandy Balkin is a graduate student
More informationLecture 02 CSE 40547/60547 Computing at the Nanoscale
PN Junctin Ntes: Lecture 02 CSE 40547/60547 Cmputing at the Nanscale Letʼs start with a (very) shrt review f semi-cnducting materials: - N-type material: Obtained by adding impurity with 5 valence elements
More informationCHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS
CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS 1 Influential bservatins are bservatins whse presence in the data can have a distrting effect n the parameter estimates and pssibly the entire analysis,
More informationChapter 3 Digital Transmission Fundamentals
Chapter 3 Digital Transmissin Fundamentals Errr Detectin and Crrectin Errr Cntrl Digital transmissin systems intrduce errrs, BER ranges frm 10-3 fr wireless t 10-9 fr ptical fiber Applicatins require certain
More informationFall 2013 Physics 172 Recitation 3 Momentum and Springs
Fall 03 Physics 7 Recitatin 3 Mmentum and Springs Purpse: The purpse f this recitatin is t give yu experience wrking with mmentum and the mmentum update frmula. Readings: Chapter.3-.5 Learning Objectives:.3.
More informationCPM plans: the short, the medium and the long
plans: the shrt, the medium and the lng Summary f recent prgress Next steps New Test sftware/firmware Slice test/beam test requirements Hw can we use current s? D we need mre new s? rductin testing requirements
More informationENG2410 Digital Design Sequencing and Control
ENG24 igital esign equencing and ntrl atapath cnsists f: Parts f PU Registers, Multiplers, dders, ubtractrs and lgic t perfrm peratins n data (mb Lgic) ntrl unit Generates signals t cntrl data-path ccepts
More informationEarly detection of mining truck failure by modelling its operation with neural networks classification algorithms
RU, Rand GOLOSINSKI, T.S. Early detectin f mining truck failure by mdelling its peratin with neural netwrks classificatin algrithms. Applicatin f Cmputers and Operatins Research ill the Minerals Industries,
More informationLinearization of the Output of a Wheatstone Bridge for Single Active Sensor. Madhu Mohan N., Geetha T., Sankaran P. and Jagadeesh Kumar V.
Linearizatin f the Output f a Wheatstne Bridge fr Single Active Sensr Madhu Mhan N., Geetha T., Sankaran P. and Jagadeesh Kumar V. Dept. f Electrical Engineering, Indian Institute f Technlgy Madras, Chennai
More informationChapter 3: Cluster Analysis
Chapter 3: Cluster Analysis } 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries } 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA
More informationTooth Surface Design for Variable Transmission Ratio Bevel Gearing
Applied Mathematics, 05, 6, 685-695 Published Online September 05 in SciRes. http://www.scirp.rg/jurnal/am http://dx.di.rg/0.436/am.05.6050 Tth Surface Design fr Variable Transmissin Rati Bevel Gearing
More informationSupport-Vector Machines
Supprt-Vectr Machines Intrductin Supprt vectr machine is a linear machine with sme very nice prperties. Haykin chapter 6. See Alpaydin chapter 13 fr similar cntent. Nte: Part f this lecture drew material
More informationLCA14-206: Scheduler tooling and benchmarking. Tue-4-Mar, 11:15am, Zoran Markovic, Vincent Guittot
LCA14-206: Scheduler tling and benchmarking Tue-4-Mar, 11:15am, Zran Markvic, Vincent Guittt Scheduler Tls and Benchmarking Frm Energy Aware mini-summit @ Ksummit 2013 extract frm [1]: Ing Mlnar came in
More informationRigid Body Dynamics (continued)
Last time: Rigid dy Dynamics (cntinued) Discussin f pint mass, rigid bdy as useful abstractins f reality Many-particle apprach t rigid bdy mdeling: Newtn s Secnd Law, Euler s Law Cntinuus bdy apprach t
More informationPublic Key Cryptography. Tim van der Horst & Kent Seamons
Public Key Cryptgraphy Tim van der Hrst & Kent Seamns Last Updated: Oct 5, 2017 Asymmetric Encryptin Why Public Key Crypt is Cl Has a linear slutin t the key distributin prblem Symmetric crypt has an expnential
More informationLED Quantity 3 SL-SPOT 3 UH
IP Pb Pb-free RHS CMPLIANT SL-SPTSeries //// high pwer LEDs lighting RDERING INFRMATIN Mdel SL-SPT UH SL-SPT UH SL-SPT UH SL-SPT UH SL-SPT UH FEATURES SPECIFICATIN CLR RANGE SURCE LIFE LED TYPE BEAM ANGLE
More informationROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS
Particle Acceleratrs, 1986, Vl. 19, pp. 99-105 0031-2460/86/1904-0099/$15.00/0 1986 Grdn and Breach, Science Publishers, S.A. Printed in the United States f America ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS
More informationPower plants Robustificaton based On fault DetectIon (PRODI)
SEVENTH FRAMEWORK PROGRAMME THEME 3: INFORMATION AND COMMUNICATION TECHNOLOGIES Pwer plants Rbustificatn based On fault DetectIn (PRODI) Prf. Zeljk Djurvic Faculty f Electrical Engineering University f
More informationRevised 2/07. Projectile Motion
LPC Phsics Reised /07 Prjectile Mtin Prjectile Mtin Purpse: T measure the dependence f the range f a prjectile n initial elcit height and firing angle. Als, t erif predictins made the b equatins gerning
More informationPerformance Bounds for Detect and Avoid Signal Sensing
Perfrmance unds fr Detect and Avid Signal Sensing Sam Reisenfeld Real-ime Infrmatin etwrks, University f echnlgy, Sydney, radway, SW 007, Australia samr@uts.edu.au Abstract Detect and Avid (DAA) is a Cgnitive
More informationUBIMET. Climate Change Adaptation Strategies
UBIMET Climate Change Adaptatin Strategies UBIMET INSTITUTE FOR UBIQUITOUS METEOROLOGY Internatinal Meterlgical Institute Funded in 2004 by a meterlgist and a chemist Glbal scpe / headquarters in Vienna,
More informationCambridge Assessment International Education Cambridge Ordinary Level. Published
Cambridge Assessment Internatinal Educatin Cambridge Ordinary Level ADDITIONAL MATHEMATICS 4037/1 Paper 1 Octber/Nvember 017 MARK SCHEME Maximum Mark: 80 Published This mark scheme is published as an aid
More informationFive Whys How To Do It Better
Five Whys Definitin. As explained in the previus article, we define rt cause as simply the uncvering f hw the current prblem came int being. Fr a simple causal chain, it is the entire chain. Fr a cmplex
More informationApplication Of Mealy Machine And Recurrence Relations In Cryptography
Applicatin Of Mealy Machine And Recurrence Relatins In Cryptgraphy P. A. Jytirmie 1, A. Chandra Sekhar 2, S. Uma Devi 3 1 Department f Engineering Mathematics, Andhra University, Visakhapatnam, IDIA 2
More informationCS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007
CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is
More informationAPPLICATION GUIDE (v4.1)
2.2.3 VitalSensrs VS-300 Sensr Management Statin Remte/Relay Guide Implementing Remte-IN/Relay-OUT Digital I/O Fieldbus Objective: Equipment: Becme familiar with the instrument wiring requirements fr the
More informationDistributions, spatial statistics and a Bayesian perspective
Distributins, spatial statistics and a Bayesian perspective Dug Nychka Natinal Center fr Atmspheric Research Distributins and densities Cnditinal distributins and Bayes Thm Bivariate nrmal Spatial statistics
More informationLecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff
Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised
More informationNTP Clock Discipline Principles
NTP Clck Discipline Principles David L. Mills University f Delaware http://www.eecis.udel.edu/~mills mailt:mills@udel.edu Sir Jhn Tenniel; Alice s Adventures in Wnderland,Lewis Carrll 24-Aug-04 1 Traditinal
More informationMath Foundations 20 Work Plan
Math Fundatins 20 Wrk Plan Units / Tpics 20.8 Demnstrate understanding f systems f linear inequalities in tw variables. Time Frame December 1-3 weeks 6-10 Majr Learning Indicatrs Identify situatins relevant
More informationo o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions.
BASD High Schl Frmal Lab Reprt GENERAL INFORMATION 12 pt Times New Rman fnt Duble-spaced, if required by yur teacher 1 inch margins n all sides (tp, bttm, left, and right) Always write in third persn (avid
More informationAlgebraic properties of SHA-3 and notable cryptanalysis results
Algebraic properties of SHA-3 and notable cryptanalysis results Christina Boura University of Versailles, France ICMC 2015, January 9, 2014 1 / 51 Cryptographic Hash Functions H : {0,1} {0,1} n m H h =
More informationPhysics 2010 Motion with Constant Acceleration Experiment 1
. Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin
More informationComprehensive Exam Guidelines Department of Chemical and Biomolecular Engineering, Ohio University
Cmprehensive Exam Guidelines Department f Chemical and Bimlecular Engineering, Ohi University Purpse In the Cmprehensive Exam, the student prepares an ral and a written research prpsal. The Cmprehensive
More informationA Simple Set of Test Matrices for Eigenvalue Programs*
Simple Set f Test Matrices fr Eigenvalue Prgrams* By C. W. Gear** bstract. Sets f simple matrices f rder N are given, tgether with all f their eigenvalues and right eigenvectrs, and simple rules fr generating
More information2/3 Axis Position Indicator
SERIES Z-89 2/3 Axis Psitin Indicatr Pwer dwn memry Selectable decimal pint Multi edge functin Pulse factr Reference value External reset r preset inputs Digital brightness cntrl Z89-000-E_21-06.dc Dku
More information0606 ADDITIONAL MATHEMATICS
PAPA CAMBRIDGE CAMBRIDGE INTERNATIONAL EXAMINATIONS Cambridge Internatinal General Certificate f Secndary Educatin MARK SCHEME fr the Octber/Nvember 0 series 0606 ADDITIONAL MATHEMATICS 0606/ Paper, maimum
More informationScalability Evaluation of Big Data Processing Services in Clouds
Bench 2018@Seattle Scalability Evaluatin f Big Data Prcessing Services in Cluds Wei Huang 1,2, Cngfeng Jiang 1,2, Zujie Ren 1,2, Huayu Si 1,2, Jian Wan 3 1 Key Labratry f Cmplex Systems Mdeling and Simulatin,
More informationPeripheral Zone Card.
Peripheral Zne Card Cmpatible with Standard r Dide Bases Up t * devices per circuit (*device range dependant) Individually Cnfigured Zne circuits Shrt = Alarm Optin Intrinsic Safety Optin Nn-latching Optin
More informationSpace Shuttle Ascent Mass vs. Time
Space Shuttle Ascent Mass vs. Time Backgrund This prblem is part f a series that applies algebraic principles in NASA s human spaceflight. The Space Shuttle Missin Cntrl Center (MCC) and the Internatinal
More informationA.H. Helou Ph.D.~P.E.
1 EVALUATION OF THE STIFFNESS MATRIX OF AN INDETERMINATE TRUSS USING MINIMIZATION TECHNIQUES A.H. Helu Ph.D.~P.E. :\.!.\STRAC'l' Fr an existing structure the evaluatin f the Sti"ffness matrix may be hampered
More informationLecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff
Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised
More informationLevel Control in Horizontal Tank by Fuzzy-PID Cascade Controller
Wrld Academy f Science, Engineering and Technlgy 5 007 Level Cntrl in Hrizntal Tank by Fuzzy-PID Cascade Cntrller Satean Tunyasrirut, and Santi Wangnipparnt Abstract The paper describes the Fuzzy PID cascade
More informationDesign and Simulation of Dc-Dc Voltage Converters Using Matlab/Simulink
American Jurnal f Engineering Research (AJER) 016 American Jurnal f Engineering Research (AJER) e-issn: 30-0847 p-issn : 30-0936 Vlume-5, Issue-, pp-9-36 www.ajer.rg Research Paper Open Access Design and
More informationImage Processing Adam Finkelstein & Tim Weyrich Princeton University
Syllabus I. Image prcessing II. Mdeling Cmputer Animatin III. Rendering Rendering IV. Animatin (Michael Bstck, CS426, Fall99) Image Prcessing Adam Finkelstein & Tim Weyrich Princetn University (Rusty Cleman,
More informationthe results to larger systems due to prop'erties of the projection algorithm. First, the number of hidden nodes must
M.E. Aggune, M.J. Dambrg, M.A. El-Sharkawi, R.J. Marks II and L.E. Atlas, "Dynamic and static security assessment f pwer systems using artificial neural netwrks", Prceedings f the NSF Wrkshp n Applicatins
More informationENG2410 Digital Design Sequential Circuits: Part A
ENG2410 Digital Design Sequential Circuits: Part A Fall 2017 S. Areibi Schl f Engineering University f Guelph Week #6 Tpics Sequential Circuit Definitins Latches Flip-Flps Delays in Sequential Circuits
More informationChecking the resolved resonance region in EXFOR database
Checking the reslved resnance regin in EXFOR database Gttfried Bertn Sciété de Calcul Mathématique (SCM) Oscar Cabells OECD/NEA Data Bank JEFF Meetings - Sessin JEFF Experiments Nvember 0-4, 017 Bulgne-Billancurt,
More informationMain Menu. SEG Houston 2009 International Exposition and Annual Meeting. Summary
CO elcity Measurements and Mdels r Temperatures dwn t -10 C and up t 00 C and Pressures up t 100 MPa Min Sun* and De-hua Han, Rck Physics Lab, University Hustn Micheal Batzle, Clrad Schl Mines Summary
More informationEdexcel GCSE Physics
Edexcel GCSE Physics Tpic 10: Electricity and circuits Ntes (Cntent in bld is fr Higher Tier nly) www.pmt.educatin The Structure f the Atm Psitively charged nucleus surrunded by negatively charged electrns
More informationAMERICAN PETROLEUM INSTITUTE API RP 581 RISK BASED INSPECTION BASE RESOURCE DOCUMENT BALLOT COVER PAGE
Ballt ID: Title: USING LIFE EXTENSION FACTOR (LEF) TO INCREASE BUNDLE INSPECTION INTERVAL Purpse: 1. Prvides a methd t increase a bundle s inspectin interval t accunt fr LEF. 2. Clarifies Table 8.6.5 Als
More informationGuaranteeing Reliability with Vibration Simulation and Testing. Dr. Nathan Blattau
Guaranteeing Reliability with Vibratin Simulatin and Testing Dr. Nathan Blattau . Nathan Blattau, Ph.D. - Senir Vice President Has been invlved in the packaging and reliability f electrnic equipment fr
More informationPackaging in trays T 850 Traysealer
Packaging in trays T 850 Traysealer 2 MULTIVAC is a majr manufacturer f autmatic traysealers. Each machine is individually designed t each custmer s specific requirements in terms f tray and prduct infeed,
More informationTHERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC TESTS OF ELECTRONIC ASSEMBLIES
PREFERRED RELIABILITY PAGE 1 OF 5 PRACTICES PRACTICE NO. PT-TE-1409 THERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC Practice: Perfrm all thermal envirnmental tests n electrnic spaceflight hardware in a flight-like
More informationand the custmer, by seeing all the tests run crrectly, t reduce defect rates in such a way that the successive test-cycle verhead becmes neglectable,
Experiment abut Test-first prgramming atthias. üller and Oliver Hagner Cmputer Science Department University f Karlsruhe Am Fasanengarten 5, 76 128 Karlsruhe, Germany fmuellermjhagnerg@ipd.uka.de Abstract
More informationNUMBERS, MATHEMATICS AND EQUATIONS
AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t
More informationThis project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number
This prject has received funding frm the Eurpean Unin s Hrizn 2020 research and innvatin prgramme under grant agreement number 727524. Credit t & http://www.h3uni.rg/ https://ec.eurpa.eu/jrc/en/publicatin/eur-scientific-andtechnical-research-reprts/behaviural-insights-appliedplicy-eurpean-reprt-2016
More informationIn the OLG model, agents live for two periods. they work and divide their labour income between consumption and
1 The Overlapping Generatins Mdel (OLG) In the OLG mdel, agents live fr tw perids. When ung the wrk and divide their labur incme between cnsumptin and savings. When ld the cnsume their savings. As the
More informationChapter 3 Kinematics in Two Dimensions; Vectors
Chapter 3 Kinematics in Tw Dimensins; Vectrs Vectrs and Scalars Additin f Vectrs Graphical Methds (One and Tw- Dimensin) Multiplicatin f a Vectr b a Scalar Subtractin f Vectrs Graphical Methds Adding Vectrs
More information1. Transformer A transformer is used to obtain the approximate output voltage of the power supply. The output of the transformer is still AC.
PHYSIS 536 Experiment 4: D Pwer Supply I. Intrductin The prcess f changing A t D is investigated in this experiment. An integrated circuit regulatr makes it easy t cnstruct a high-perfrmance vltage surce
More informationStudy of DDR Asymmetric Rt/Ft in Existing IBIS-AMI Flow
Study f DDR Asymmetric Rt/Ft in Existing IBIS-AMI Flw Asian IBIS Summit Tky, Japan Nvember 2th, 28 Wei-kai Shih, SPISim Wei-kai.Shih@spisim.cm Wei-hsing Huang, SPISim Wei-huang.Huang@spisim.cm Agenda:
More informationChurn Prediction using Dynamic RFM-Augmented node2vec
Churn Predictin using Dynamic RFM-Augmented nde2vec Sandra Mitrvić, Jchen de Weerdt, Bart Baesens & Wilfried Lemahieu Department f Decisin Sciences and Infrmatin Management, KU Leuven 18 September 2017,
More informationHess Law - Enthalpy of Formation of Solid NH 4 Cl
Hess Law - Enthalpy f Frmatin f Slid NH 4 l NAME: OURSE: PERIOD: Prelab 1. Write and balance net inic equatins fr Reactin 2 and Reactin 3. Reactin 2: Reactin 3: 2. Shw that the alebraic sum f the balanced
More informationInternal vs. external validity. External validity. This section is based on Stock and Watson s Chapter 9.
Sectin 7 Mdel Assessment This sectin is based n Stck and Watsn s Chapter 9. Internal vs. external validity Internal validity refers t whether the analysis is valid fr the ppulatin and sample being studied.
More informationAdministrativia. Assignment 1 due thursday 9/23/2004 BEFORE midnight. Midterm exam 10/07/2003 in class. CS 460, Sessions 8-9 1
Administrativia Assignment 1 due thursday 9/23/2004 BEFORE midnight Midterm eam 10/07/2003 in class CS 460, Sessins 8-9 1 Last time: search strategies Uninfrmed: Use nly infrmatin available in the prblem
More informationHubble s Law PHYS 1301
1 PHYS 1301 Hubble s Law Why: The lab will verify Hubble s law fr the expansin f the universe which is ne f the imprtant cnsequences f general relativity. What: Frm measurements f the angular size and
More informationUnit Project Descriptio
Unit Prject Descriptin: Using Newtn s Laws f Mtin and the scientific methd, create a catapult r trebuchet that will sht a marshmallw at least eight feet. After building and testing yur machine at hme,
More informationBASD HIGH SCHOOL FORMAL LAB REPORT
BASD HIGH SCHOOL FORMAL LAB REPORT *WARNING: After an explanatin f what t include in each sectin, there is an example f hw the sectin might lk using a sample experiment Keep in mind, the sample lab used
More informationLast Updated: Oct 14, 2017
RSA Last Updated: Oct 14, 2017 Recap Number thery What is a prime number? What is prime factrizatin? What is a GCD? What des relatively prime mean? What des c-prime mean? What des cngruence mean? What
More informationA Comparison of Methods for Computing the Eigenvalues and Eigenvectors of a Real Symmetric Matrix. By Paul A. White and Robert R.
A Cmparisn f Methds fr Cmputing the Eigenvalues and Eigenvectrs f a Real Symmetric Matrix By Paul A. White and Rbert R. Brwn Part I. The Eigenvalues I. Purpse. T cmpare thse methds fr cmputing the eigenvalues
More informationChapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms
Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical
More informationPurpose: Use this reference guide to effectively communicate the new process customers will use for creating a TWC ID. Mobile Manager Call History
Purpse: Use this reference guide t effectively cmmunicate the new prcess custmers will use fr creating a TWC ID. Overview Beginning n January 28, 2014 (Refer t yur Knwledge Management System fr specific
More informationGENESIS Structural Optimization for ANSYS Mechanical
P3 STRUCTURAL OPTIMIZATION (Vl. II) GENESIS Structural Optimizatin fr ANSYS Mechanical An Integrated Extensin that adds Structural Optimizatin t ANSYS Envirnment New Features and Enhancements Release 2017.03
More informationHiding in plain sight
Hiding in plain sight Principles f stegangraphy CS349 Cryptgraphy Department f Cmputer Science Wellesley Cllege The prisners prblem Stegangraphy 1-2 1 Secret writing Lemn juice is very nearly clear s it
More informationLarge Sample Hypothesis Tests for a Population Proportion
Ntes-10.3a Large Sample Hypthesis Tests fr a Ppulatin Prprtin ***Cin Tss*** 1. A friend f yurs claims that when he tsses a cin he can cntrl the utcme. Yu are skeptical and want him t prve it. He tsses
More informationFigure 1a. A planar mechanism.
ME 5 - Machine Design I Fall Semester 0 Name f Student Lab Sectin Number EXAM. OPEN BOOK AND CLOSED NOTES. Mnday, September rd, 0 Write n ne side nly f the paper prvided fr yur slutins. Where necessary,
More informationCMSC 425: Lecture 9 Basics of Skeletal Animation and Kinematics
CMSC 425: Lecture 9 Basics f Skeletal Animatin and Kinematics Reading: Chapt f Gregr, Game Engine Architecture. The material n kinematics is a simplificatin f similar cncepts develped in the field f rbtics,
More informationHigh penetration of renewable resources and the impact on power system stability. Dharshana Muthumuni
High penetratin f renewable resurces and the impact n pwer system stability Dharshana Muthumuni Outline Intrductin Discussin f case studies Suth Australia system event f September 2016 System Study integratin
More informationA Fast and Key-Efficient Reduction from Chosen-Ciphertext to Known-Plaintext Security
Intrductin wprfs Encryptin frm wprfs Cnclusins A Fast and Key-Efficient Reductin frm Chsen-Ciphertext t Knwn-Plaintext Security Ueli Maurer Jhan Sjödin Department f Cmputer Science ETH Zurich, Switzerland
More informationSynchronous Motor V-Curves
Synchrnus Mtr V-Curves 1 Synchrnus Mtr V-Curves Intrductin Synchrnus mtrs are used in applicatins such as textile mills where cnstant speed peratin is critical. Mst small synchrnus mtrs cntain squirrel
More informationSubject description processes
Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses
More informationand the Doppler frequency rate f R , can be related to the coefficients of this polynomial. The relationships are:
Algrithm fr Estimating R and R - (David Sandwell, SIO, August 4, 2006) Azimith cmpressin invlves the alignment f successive eches t be fcused n a pint target Let s be the slw time alng the satellite track
More informationName: Block: Date: Science 10: The Great Geyser Experiment A controlled experiment
Science 10: The Great Geyser Experiment A cntrlled experiment Yu will prduce a GEYSER by drpping Ments int a bttle f diet pp Sme questins t think abut are: What are yu ging t test? What are yu ging t measure?
More information