Theorem-proving Verification of Multi-clock Synchronous Circuits on Multimodal Logic
•Download as PPTX, PDF•
0 likes•131 views
Formal verification methods for synchronous circuits are widely used, but almost all of the methods are limited to single-clock synchronous circuits. In this paper, we propose a formal verification method for multi-clock synchronous circuits. The proposed verification method is in theorem-proving manner and based on multimodal logic. We also show an example of verification of a clock switching circuit by using the method.
Report
Share
Report
Share
Recommended
Hidden markov model explained
1. Hidden Markov Models (HMMs) are used to model sequential data where the underlying process generating the observable outputs is not visible but assumed to be a Markov process with hidden states.
2. HMMs define transition probabilities between hidden states and emission probabilities of observable outputs for each state.
3. There are three typical problems for HMMs: likelihood computation, decoding the most likely sequence of hidden states, and learning the transition and emission probabilities from data.
Secant Method
The document discusses the secant method for finding the roots of non-linear equations. It introduces the secant method which uses successive secant lines through points on the graph of a function to better approximate roots. The methodology section explains that a secant line is defined by two initial points and the next point is where the secant line crosses the x-axis. The algorithm involves calculating the next estimate from the two initial guesses and checking if the error is below a tolerance level. Applications include using the secant method for earthquake engineering analysis and limitations include potential division by zero errors or root jumping.
Viterbi algorithm
The Viterbi algorithm is used to find the most likely sequence of hidden states in a Hidden Markov Model. It was first proposed in 1967 and uses dynamic programming to calculate the probability of different state sequences given a series of observations. The algorithm outputs the single best state sequence by tracking the highest probability path recursively through the model. It has applications in areas like communications, speech recognition, and bioinformatics.
Seismic data processing lecture 3
This document covers key topics in seismic data processing including complex numbers, vectors, matrices, determinants, eigenvalues, singular values, matrix inversion, series, Taylor series, Fourier series, delta functions, and Fourier integrals. It provides examples of using Taylor series to approximate nonlinear systems as linear systems and using Fourier series to approximate periodic functions. The importance of Fourier transforms for spectral analysis and various geophysical applications is also discussed.
REVISION- UNIT 2 -ANALYSIS OF CONTINUOUS TIME SIGNALS
The document discusses continuous-time signals and Fourier analysis. It covers continuous-time exponential Fourier series and the trigonometric form of Fourier series. The trigonometric Fourier series expresses a periodic signal as a sum of sines and cosines, with no cosine terms if the signal is purely odd and no sine terms if the signal is purely even. If a signal is symmetrical about the time axis, the a0 term is equal to zero. The document also mentions the convolution property of Fourier transforms.
Hidden markov model
This document provides an overview of hidden Markov models (HMMs). It defines HMMs as statistical Markov models that include both observed and hidden states. The key components of an HMM are states (Q), observations (V), initial state probabilities (p), state transition probabilities (A), and emission probabilities (E). HMMs find applications in areas like protein structure prediction, sequence alignment, and gene finding. The Viterbi algorithm is described as a dynamic programming approach for finding the most likely sequence of hidden states in an HMM. Advantages of HMMs include their statistical power and modularity, while disadvantages include assumptions of state independence and potential for overfitting.
Fourier transform
This document provides an introduction to Fourier series. It lists the names and student IDs of the presenters. It then discusses Joseph Fourier, the founder of Fourier series, and provides definitions and properties of Fourier series including that they can represent both continuous and discontinuous periodic functions using sine and cosine terms. Examples of functions that can and cannot be represented by Fourier series are given. The document also discusses applications of Fourier series to problems involving heat transfer and vibrating systems.
Sol67
The document analyzes the motion of an inverted pendulum with an oscillating support. It uses Lagrangian mechanics to derive an equation of motion for the pendulum's angle θ. For small oscillations of θ, the equation is approximated as θ̈ + θaω2cos(ωt) - ω02 = 0. This shows the pendulum's motion depends on the frequency and amplitude of the support oscillations. If the support frequency ω is high enough, the pendulum undergoes stable oscillations instead of falling over. An analytical approximation of θ as a small oscillation correlated with the support motion is derived, explaining this stabilizing effect.
Recommended
Hidden markov model explained
1. Hidden Markov Models (HMMs) are used to model sequential data where the underlying process generating the observable outputs is not visible but assumed to be a Markov process with hidden states.
2. HMMs define transition probabilities between hidden states and emission probabilities of observable outputs for each state.
3. There are three typical problems for HMMs: likelihood computation, decoding the most likely sequence of hidden states, and learning the transition and emission probabilities from data.
Secant Method
The document discusses the secant method for finding the roots of non-linear equations. It introduces the secant method which uses successive secant lines through points on the graph of a function to better approximate roots. The methodology section explains that a secant line is defined by two initial points and the next point is where the secant line crosses the x-axis. The algorithm involves calculating the next estimate from the two initial guesses and checking if the error is below a tolerance level. Applications include using the secant method for earthquake engineering analysis and limitations include potential division by zero errors or root jumping.
Viterbi algorithm
The Viterbi algorithm is used to find the most likely sequence of hidden states in a Hidden Markov Model. It was first proposed in 1967 and uses dynamic programming to calculate the probability of different state sequences given a series of observations. The algorithm outputs the single best state sequence by tracking the highest probability path recursively through the model. It has applications in areas like communications, speech recognition, and bioinformatics.
Seismic data processing lecture 3
This document covers key topics in seismic data processing including complex numbers, vectors, matrices, determinants, eigenvalues, singular values, matrix inversion, series, Taylor series, Fourier series, delta functions, and Fourier integrals. It provides examples of using Taylor series to approximate nonlinear systems as linear systems and using Fourier series to approximate periodic functions. The importance of Fourier transforms for spectral analysis and various geophysical applications is also discussed.
REVISION- UNIT 2 -ANALYSIS OF CONTINUOUS TIME SIGNALS
The document discusses continuous-time signals and Fourier analysis. It covers continuous-time exponential Fourier series and the trigonometric form of Fourier series. The trigonometric Fourier series expresses a periodic signal as a sum of sines and cosines, with no cosine terms if the signal is purely odd and no sine terms if the signal is purely even. If a signal is symmetrical about the time axis, the a0 term is equal to zero. The document also mentions the convolution property of Fourier transforms.
Hidden markov model
This document provides an overview of hidden Markov models (HMMs). It defines HMMs as statistical Markov models that include both observed and hidden states. The key components of an HMM are states (Q), observations (V), initial state probabilities (p), state transition probabilities (A), and emission probabilities (E). HMMs find applications in areas like protein structure prediction, sequence alignment, and gene finding. The Viterbi algorithm is described as a dynamic programming approach for finding the most likely sequence of hidden states in an HMM. Advantages of HMMs include their statistical power and modularity, while disadvantages include assumptions of state independence and potential for overfitting.
Fourier transform
This document provides an introduction to Fourier series. It lists the names and student IDs of the presenters. It then discusses Joseph Fourier, the founder of Fourier series, and provides definitions and properties of Fourier series including that they can represent both continuous and discontinuous periodic functions using sine and cosine terms. Examples of functions that can and cannot be represented by Fourier series are given. The document also discusses applications of Fourier series to problems involving heat transfer and vibrating systems.
Sol67
The document analyzes the motion of an inverted pendulum with an oscillating support. It uses Lagrangian mechanics to derive an equation of motion for the pendulum's angle θ. For small oscillations of θ, the equation is approximated as θ̈ + θaω2cos(ωt) - ω02 = 0. This shows the pendulum's motion depends on the frequency and amplitude of the support oscillations. If the support frequency ω is high enough, the pendulum undergoes stable oscillations instead of falling over. An analytical approximation of θ as a small oscillation correlated with the support motion is derived, explaining this stabilizing effect.
Teknik Simulasi
This document discusses properties of pseudo-random numbers and methods for generating random numbers computationally. It covers:
- Properties of pseudo-random numbers including being continuous between 0 and 1 and uniformly distributed.
- Common methods for generating pseudo-random numbers including table lookup, linear congruential generators (LCG), and feedback shift registers.
- Desirable properties for random number generators including being fast, requiring little memory, having a long cycle or period, and producing numbers that are close to uniform and independent.
2.2 polynomial functions of higher degree
1. This document discusses how to graph polynomial functions of higher degree. Polynomial functions are continuous and smooth curves without sharp corners.
2. To graph polynomials, you first apply the leading coefficient test to determine end behavior. You then find the zeros and y-intercepts. Plotting some points on either side of the zeros allows you to sketch the basic shape of the curve.
3. The number of relative extrema a polynomial can have is one less than its degree. Every polynomial of degree n has exactly n roots according to the Fundamental Theorem of Algebra.
Hmm
This document provides an introduction to hidden Markov models (HMMs). It explains what HMMs are, where they are used, and why they are useful. Key aspects of HMMs covered include the Markov chain process, notation used in HMMs, an example of applying an HMM to temperature data, and the three main problems HMMs are used to solve: scoring observation sequences, finding optimal state sequences, and training a model. The document also outlines the forward, backward, and other algorithms used to efficiently solve these three problems.
HMM (Hidden Markov Model)
This document provides an introduction to hidden Markov models (HMMs). It discusses that HMMs can be used to model sequential processes where the underlying states cannot be directly observed, only the outputs of the states. The document outlines the basic components of an HMM including states, transition probabilities, emission probabilities, and gives examples of HMMs for coin tossing and weather. It also briefly discusses the history of HMMs and their applications in fields like bioinformatics for problems such as gene finding.
Applied numerical methods lec4
This document discusses the bracketing method for finding the roots of equations. It begins by introducing bracketing methods and noting that they require initial guesses that bracket a root. It then provides an example of using a graphical method to find the root of an equation by plotting the function and observing where it crosses the x-axis. Finally, it describes the bisection method in more detail, noting that it iteratively narrows the range containing the root until the desired accuracy is reached.
Lesson 14 a - parametric equations
Parametric equations define a curve where x and y are defined in terms of a third variable called a parameter. The graph of parametric equations consists of all points (x,y) obtained by allowing the parameter to vary over its domain. Eliminating the parameter between the two equations yields a non-parametric equation of the curve. Examples are provided of eliminating parameters between various parametric equations to obtain the curve and sketching the resulting graphs. Exercises are given to further practice eliminating parameters and sketching curves.
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
1. The document discusses Fourier transforms, Laplace transforms, and their applications. Fourier transforms represent non-periodic signals as a function of frequency by decomposing them into simpler constituent parts. Laplace transforms transform time domain signals to the complex s-domain.
2. Key aspects covered include the Fourier analysis and synthesis equations, properties of the Fourier transform such as its magnitude and phase spectra. Conditions for the existence of Fourier transforms are explained. The region of convergence where the Laplace transform converges is also defined.
3. Examples are provided to demonstrate the calculation of Fourier and Laplace transforms of simple signals and determining their regions of convergence. Poles and zeros of transforms are also explained.
Slops of the Straight lines
This document discusses slope and how to calculate it from the coordinates of two points on a line. It defines slope as the tangent of the angle of inclination of the line with respect to the x-axis. It provides the formula for calculating slope given two points and discusses how to determine if two lines are parallel, perpendicular, or the angle between them based on their slopes.
Normal equations for linear regression?
This document discusses the normal equations method and QR decomposition method for solving linear regression problems. It notes that while the normal equations method is simpler, the QR decomposition method is numerically more stable. Specifically, it notes that the normal equations method is only backward stable if the data matrix X is well-conditioned, whereas the QR method is always backward stable. It concludes that the normal equations method is useful for teaching but to be aware of its disadvantages compared to the QR method.
Angle between 2 lines
The document discusses finding the angle between two lines given by their gradients (slopes). It provides the formula for calculating the tangent of the acute angle between the lines as (m1 - m2) / (1 + m1m2), where m1 and m2 are the gradients of the two lines. It then works through three examples of applying the formula to find the acute angle between pairs of lines.
Fourier-transform analysis of a unilateral fin line and its derivatives
This document presents a Fourier-transform analysis of a unilateral n-line and its derivatives. The key points are:
1) A unilateral n-line is transformed into an equivalent problem of multiple suspended substrate microstrip lines using the image theorem and Fourier transform.
2) New rigorous dispersion relations are derived in the form of rapidly convergent series solutions, providing an accurate yet efficient method for numerical computation.
3) The dispersion relations for derivatives of the unilateral n-line including suspended substrate microstrip lines, microstrip lines, slot lines and coplanar waveguides are also presented.
Secant method
Numerical methods and computer programming, Secant methods
Md Nafiz Hossain
Department of Civil Engineering.
Vibration of Continuous Structures
What is a continuous structure?
How to analyse the vibration of string, bars and shafts?
How to analyse the vibration of beams?
#WikiCourses
https://wikicourses.wikispaces.com/Topic+Vibration+of+Continuous+Structures
https://eau-esa.wikispaces.com/Vibration+of+structures
Random number generation
Random Number Generation techniques, Pseudo Random Number generation techniques. How Random numbers are generated? Linear Congruential Generator.
My References : https://www.youtube.com/watch?v=fEWigU1dcp8 .
Short Summary : https://www.slideshare.net/VinitDantkale/summary-of-random-number-generation
Used in Information Theory and Coding, Cryptography, Information network and Security, mathematics.
A multiphase lattice Boltzmann model with sharp interfaces
Poster from DSFD 2011 concerning surface tension and narrow interfaces in multiphase lattice Boltzmann simulations
Stock Market Prediction using Hidden Markov Models and Investor sentiment
This presentation describes hidden Markov Models to predict financial markets indices using the weekly sentiment survey from the American Association of Individual Investors.
The first section describes the hidden Markov model (HMM), followed by selection of features (investors' sentiment) and labeled data (S&P 500 index).
The second section dives into HMMs for continuous observations and detection of regime shifts/structural breaks using an auto-regressive Markov chain
The last section is devoted to alternative models to HMM.
Control assignment#1
This document contains 7 problems related to analyzing discrete-time systems. Problem 1 involves determining the input-output relationship of a system formed by connecting two other systems in series. Problem 2 analyzes properties like linearity and time-invariance for a given system. Problems 3-4 check these properties for additional systems and statements. Problem 5 calculates the step response and response to other inputs for a given system. Problem 6 determines the steady state periodic response of a system to a periodic input using MATLAB code. Problem 7 involves finding controller parameters to place closed loop poles and determining the steady state output for a feedback system.
Important Questions of fourier series with theoretical study Engg. Mathem...
This document provides information about Fourier series and even/odd functions from the Jahangirbad Institute of Technology. It defines Fourier series and even/odd functions, lists their properties, and provides 14 important questions about finding Fourier series for various periodic functions over different intervals. The questions aim to find the Fourier series and deduce trigonometric identities.
Spline Interpolation
Spline interpolation is a technique for generating new data points within the range of a discrete set of known data points. It uses piecewise polynomials, typically cubic polynomials, to fit curves to these data points. The document discusses linear and quadratic spline interpolation and provides an example of using quadratic splines to interpolate the velocity of a rocket at different times and calculate the velocity, distance, and acceleration at t=16 seconds.
Desafío cs sociales 1
Facundo Quiroga nació el 27 de noviembre de 1788 en La Rioja, vivió en La Rioja y Buenos Aires, y recibió alguna formación militar en Buenos Aires en 1815. Tuvo como enemigo político a Sarmiento y se casó con Dolores Fernández Cabezas.
09 - Program verification
Program verification involves formally proving that a program satisfies certain properties, such as having no defects, by establishing that the program meets its specification. This is done by defining preconditions and postconditions and using weakest preconditions to reason about how the program transforms states. Testing involves running a program with sample inputs and checking that the outputs are as expected to find defects empirically.
More Related Content
What's hot
Teknik Simulasi
This document discusses properties of pseudo-random numbers and methods for generating random numbers computationally. It covers:
- Properties of pseudo-random numbers including being continuous between 0 and 1 and uniformly distributed.
- Common methods for generating pseudo-random numbers including table lookup, linear congruential generators (LCG), and feedback shift registers.
- Desirable properties for random number generators including being fast, requiring little memory, having a long cycle or period, and producing numbers that are close to uniform and independent.
2.2 polynomial functions of higher degree
1. This document discusses how to graph polynomial functions of higher degree. Polynomial functions are continuous and smooth curves without sharp corners.
2. To graph polynomials, you first apply the leading coefficient test to determine end behavior. You then find the zeros and y-intercepts. Plotting some points on either side of the zeros allows you to sketch the basic shape of the curve.
3. The number of relative extrema a polynomial can have is one less than its degree. Every polynomial of degree n has exactly n roots according to the Fundamental Theorem of Algebra.
Hmm
This document provides an introduction to hidden Markov models (HMMs). It explains what HMMs are, where they are used, and why they are useful. Key aspects of HMMs covered include the Markov chain process, notation used in HMMs, an example of applying an HMM to temperature data, and the three main problems HMMs are used to solve: scoring observation sequences, finding optimal state sequences, and training a model. The document also outlines the forward, backward, and other algorithms used to efficiently solve these three problems.
HMM (Hidden Markov Model)
This document provides an introduction to hidden Markov models (HMMs). It discusses that HMMs can be used to model sequential processes where the underlying states cannot be directly observed, only the outputs of the states. The document outlines the basic components of an HMM including states, transition probabilities, emission probabilities, and gives examples of HMMs for coin tossing and weather. It also briefly discusses the history of HMMs and their applications in fields like bioinformatics for problems such as gene finding.
Applied numerical methods lec4
This document discusses the bracketing method for finding the roots of equations. It begins by introducing bracketing methods and noting that they require initial guesses that bracket a root. It then provides an example of using a graphical method to find the root of an equation by plotting the function and observing where it crosses the x-axis. Finally, it describes the bisection method in more detail, noting that it iteratively narrows the range containing the root until the desired accuracy is reached.
Lesson 14 a - parametric equations
Parametric equations define a curve where x and y are defined in terms of a third variable called a parameter. The graph of parametric equations consists of all points (x,y) obtained by allowing the parameter to vary over its domain. Eliminating the parameter between the two equations yields a non-parametric equation of the curve. Examples are provided of eliminating parameters between various parametric equations to obtain the curve and sketching the resulting graphs. Exercises are given to further practice eliminating parameters and sketching curves.
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
1. The document discusses Fourier transforms, Laplace transforms, and their applications. Fourier transforms represent non-periodic signals as a function of frequency by decomposing them into simpler constituent parts. Laplace transforms transform time domain signals to the complex s-domain.
2. Key aspects covered include the Fourier analysis and synthesis equations, properties of the Fourier transform such as its magnitude and phase spectra. Conditions for the existence of Fourier transforms are explained. The region of convergence where the Laplace transform converges is also defined.
3. Examples are provided to demonstrate the calculation of Fourier and Laplace transforms of simple signals and determining their regions of convergence. Poles and zeros of transforms are also explained.
Slops of the Straight lines
This document discusses slope and how to calculate it from the coordinates of two points on a line. It defines slope as the tangent of the angle of inclination of the line with respect to the x-axis. It provides the formula for calculating slope given two points and discusses how to determine if two lines are parallel, perpendicular, or the angle between them based on their slopes.
Normal equations for linear regression?
This document discusses the normal equations method and QR decomposition method for solving linear regression problems. It notes that while the normal equations method is simpler, the QR decomposition method is numerically more stable. Specifically, it notes that the normal equations method is only backward stable if the data matrix X is well-conditioned, whereas the QR method is always backward stable. It concludes that the normal equations method is useful for teaching but to be aware of its disadvantages compared to the QR method.
Angle between 2 lines
The document discusses finding the angle between two lines given by their gradients (slopes). It provides the formula for calculating the tangent of the acute angle between the lines as (m1 - m2) / (1 + m1m2), where m1 and m2 are the gradients of the two lines. It then works through three examples of applying the formula to find the acute angle between pairs of lines.
Fourier-transform analysis of a unilateral fin line and its derivatives
This document presents a Fourier-transform analysis of a unilateral n-line and its derivatives. The key points are:
1) A unilateral n-line is transformed into an equivalent problem of multiple suspended substrate microstrip lines using the image theorem and Fourier transform.
2) New rigorous dispersion relations are derived in the form of rapidly convergent series solutions, providing an accurate yet efficient method for numerical computation.
3) The dispersion relations for derivatives of the unilateral n-line including suspended substrate microstrip lines, microstrip lines, slot lines and coplanar waveguides are also presented.
Secant method
Numerical methods and computer programming, Secant methods
Md Nafiz Hossain
Department of Civil Engineering.
Vibration of Continuous Structures
What is a continuous structure?
How to analyse the vibration of string, bars and shafts?
How to analyse the vibration of beams?
#WikiCourses
https://wikicourses.wikispaces.com/Topic+Vibration+of+Continuous+Structures
https://eau-esa.wikispaces.com/Vibration+of+structures
Random number generation
Random Number Generation techniques, Pseudo Random Number generation techniques. How Random numbers are generated? Linear Congruential Generator.
My References : https://www.youtube.com/watch?v=fEWigU1dcp8 .
Short Summary : https://www.slideshare.net/VinitDantkale/summary-of-random-number-generation
Used in Information Theory and Coding, Cryptography, Information network and Security, mathematics.
A multiphase lattice Boltzmann model with sharp interfaces
Poster from DSFD 2011 concerning surface tension and narrow interfaces in multiphase lattice Boltzmann simulations
Stock Market Prediction using Hidden Markov Models and Investor sentiment
This presentation describes hidden Markov Models to predict financial markets indices using the weekly sentiment survey from the American Association of Individual Investors.
The first section describes the hidden Markov model (HMM), followed by selection of features (investors' sentiment) and labeled data (S&P 500 index).
The second section dives into HMMs for continuous observations and detection of regime shifts/structural breaks using an auto-regressive Markov chain
The last section is devoted to alternative models to HMM.
Control assignment#1
This document contains 7 problems related to analyzing discrete-time systems. Problem 1 involves determining the input-output relationship of a system formed by connecting two other systems in series. Problem 2 analyzes properties like linearity and time-invariance for a given system. Problems 3-4 check these properties for additional systems and statements. Problem 5 calculates the step response and response to other inputs for a given system. Problem 6 determines the steady state periodic response of a system to a periodic input using MATLAB code. Problem 7 involves finding controller parameters to place closed loop poles and determining the steady state output for a feedback system.
Important Questions of fourier series with theoretical study Engg. Mathem...
This document provides information about Fourier series and even/odd functions from the Jahangirbad Institute of Technology. It defines Fourier series and even/odd functions, lists their properties, and provides 14 important questions about finding Fourier series for various periodic functions over different intervals. The questions aim to find the Fourier series and deduce trigonometric identities.
Spline Interpolation
Spline interpolation is a technique for generating new data points within the range of a discrete set of known data points. It uses piecewise polynomials, typically cubic polynomials, to fit curves to these data points. The document discusses linear and quadratic spline interpolation and provides an example of using quadratic splines to interpolate the velocity of a rocket at different times and calculate the velocity, distance, and acceleration at t=16 seconds.
What's hot (19)
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier-transform analysis of a unilateral fin line and its derivatives
Fourier-transform analysis of a unilateral fin line and its derivatives
A multiphase lattice Boltzmann model with sharp interfaces
A multiphase lattice Boltzmann model with sharp interfaces
Stock Market Prediction using Hidden Markov Models and Investor sentiment
Stock Market Prediction using Hidden Markov Models and Investor sentiment
Important Questions of fourier series with theoretical study Engg. Mathem...
Important Questions of fourier series with theoretical study Engg. Mathem...
Viewers also liked
Desafío cs sociales 1
Facundo Quiroga nació el 27 de noviembre de 1788 en La Rioja, vivió en La Rioja y Buenos Aires, y recibió alguna formación militar en Buenos Aires en 1815. Tuvo como enemigo político a Sarmiento y se casó con Dolores Fernández Cabezas.
09 - Program verification
Program verification involves formally proving that a program satisfies certain properties, such as having no defects, by establishing that the program meets its specification. This is done by defining preconditions and postconditions and using weakest preconditions to reason about how the program transforms states. Testing involves running a program with sample inputs and checking that the outputs are as expected to find defects empirically.
A Survey of functional verification techniques
In this paper, we present a survey of various techniques used in functional verification of industry hardware designs. Although the use of formal verification techniques has been increasing over time, there is still a need for an immediate practical solution resulting in an increased interest in hybrid verification techniques. Hybrid techniques combine formal and informal (traditional simulation based) techniques to take the advantage of both the worlds. A typical hybrid technique aims to address the verification bottleneck by enhancing the state space coverage.
Automated theorem proving for special functions: the next phase
Keynote Lecture for the conference SNC 2014 (Symbolic-Numeric Computation).
Shanghai, China, July 2014.
20130928 automated theorem_proving_harrison
This document provides an overview of automated theorem proving. It discusses:
1) The history and background of automated theorem proving, from Hobbes and Leibniz proposing algorithmic logic to modern computer-based approaches.
2) The theoretical limitations of automated reasoning due to results like Godel's incompleteness theorems, but also practical applications like verifying mathematics and computer systems.
3) How automated reasoning involves expressing statements formally and then manipulating those expressions algorithmically, as anticipated by Leibniz centuries ago.
Program Verification / Automated Theorem Proving
This document provides an overview of Spec#, which is a specification language that extends C# with support for design by contract features like preconditions, postconditions, and object invariants. This allows programs to be verified for correctness. The architecture of Spec# compiles the specifications into verification conditions that are passed to an automatic theorem prover called Boogie to formally prove properties about programs. Spec# aims to make program verification practical and cost effective for developing high quality software.
Functional verification techniques EW16 session
Functional verification is one of the key bottlenecks in the rapid design of integrated circuits. It is estimated that verification in its entirety accounts for up to 60% of design resources, including duration, computer resources and total personnel. The three primary tools used in logic and functional verification of commercial integrated circuits are simulation (at various levels), emulation at the chip level, and formal verification.
Formal Verification Techniques
Formal verification is the process of proving or disproving properties of a design using mathematical methods. It can be applied at the block level to check specifications and eliminate bugs, but bringing it to the system-on-chip level presents challenges like understanding module interactions and slowing down tools. Formal verification has advantages like being vectorless and automatically checking properties, but challenges include capacity limits of current tools and difficulty verifying features like analog and memory models. An efficient strategy is needed to integrate formal verification at both the block and chip levels.
Formal verification
This document discusses formal verification in VLSI systems. It begins by explaining that formal verification uses mathematical proofs to show a system works as intended, as an alternative to testing which is limited and costly for large VLSI designs. It then covers various techniques in formal verification including Kripke structures to model systems, temporal logic to specify properties, and model checking to automatically verify properties by exhaustive search. The document provides examples and discusses the challenges of state explosion in formal verification.
Viewers also liked (10)
Automated theorem proving for special functions: the next phase
Automated theorem proving for special functions: the next phase
Similar to Theorem-proving Verification of Multi-clock Synchronous Circuits on Multimodal Logic
Semi-Classical Transport Theory.ppt
This document outlines the key aspects of using particle-based Monte Carlo simulations to solve the Boltzmann transport equation (BTE) for modeling semiconductor device transport. It describes how the BTE can be solved by decomposing carrier transport into free flight periods between scattering events. Random flight times are generated from the probability distribution of scattering rates. After each free flight, a scattering mechanism is chosen randomly based on its probability. New carrier momentum and energy are determined after each scattering event to model transport.
Phase diagram for a zero-temperature Glauber dynamics under partially synchro...
The document describes a model of zero-temperature Glauber dynamics for a one-dimensional Ising spin chain undergoing partially synchronous updating. Monte Carlo simulations are used to study the phase transitions of the system as the number of spins updated per time step (cL) varies according to different probability distributions. The model considers both cluster and random sequential updating schemes, where c is assigned at each time step from a distribution before flipping spins based on their energy differences. The goal is to examine how varying the updating parameter c according to different distributions affects the critical behavior of the system.
test generation
This document discusses test generation for digital circuits. It covers fault detection and location in digital systems, as well as various test generation methods for combinational and sequential logic circuits. For combinational circuits, it describes path sensitization and Boolean difference methods. For sequential circuits, it discusses converting the circuit to combinational form and verifying the state table. The document also discusses design for testability, including testability measures and techniques like LSSD. Reed-Muller expansion is presented as a method to derive and implement logic functions.
seminar_final
This document describes research on modeling and optimizing the dynamics and gait of multi-link swimming robots using a "perfect fluid" model. The researchers formulated the dynamics of an articulated multi-link swimming robot moving in a planar environment. They reduced the system to first-order equations and developed simulations to examine performance for harmonic inputs and optimize displacement through inputs. Experiments were also planned using prototype robotic swimmers to compare with the theoretical model.
ATPG of reversible circuits
This document outlines different approaches for generating test patterns for reversible circuits, including integer linear programming (ILP), circuit decomposition, and SAT-based methods. ILP formulations guarantee a complete and minimal test set but do not scale well for large circuits. Circuit decomposition breaks the circuit into smaller subcircuits and applies ILP to each, iteratively building a test set. SAT-based ATPG encodes the circuit and fault conditions as constraints for a SAT solver to determine a test pattern or prove none exists.
Quantum Computation and Algorithms
The document provides an overview of quantum computation and algorithms. It introduces concepts from quantum physics like quantum states, observables, and measurement. It discusses how classical computation can be done using reversible gates. It also covers quantum gates, universal quantum gate sets, and the quantum complexity class BQP. A key example covered is Grover's search algorithm for searching an unstructured database on a quantum computer. The document aims to give a quick introduction to the foundations and applications of quantum computation.
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
E.E. Essential Knowledge Sereies
My Online Courses: https://www.byparams.com/courses
Transfer function, frequency response, and Bode plot
Week3 ap3421 2019_part1
This document provides a summary of a quantum information lecture on multiple qubit states, gates, and measurements. It outlines the topics to be covered, including multi-qubit states represented by coefficients, multi-qubit gates like CNOT, and multi-qubit measurements. It also discusses how to determine if two qubits are entangled and defines universal gate sets that can implement any unitary operation on qubits.
Problem i ph o 14
This document contains 5 theoretical physics problems from the 1983 International Physics Olympiad (IPhO).
1) The first problem involves calculating the path length and speed of a particle moving in one dimension under a force and reflecting off a wall.
2) The second problem involves calculating properties of electric oscillations in an LC circuit with alternating current, including the maximum power frequency and amplitude of current oscillations.
3) The third problem involves calculating ray paths and deviations for light passing through a system of dispersive prisms.
4) The fourth problem involves using Compton scattering to calculate the de Broglie wavelength of an electron before collision based on wavelengths of photons before and after two scattering events.
MathCAD - Synchronicity Algorithm.pdf
The document describes an algorithm to determine the common or synchronization period (Tc) of two independent asynchronous events with periods of ta and tb. The algorithm involves 4 steps: 1) Determine the maximum (t2) and minimum (t1) periods. 2) Calculate the difference in periods (Δt). 3) Determine the number of t2 periods in Δt (N2). 4) The synchronization period is Tc = N2 * t1. Two examples applying the algorithm are also provided.
Epidemic processes on switching networks
Presentation slides for the following two papers:
- Leo Speidel, Konstantin Klemm, Víctor M. Eguíluz, Naoki Masuda.
New Journal of Physics, 18, 073013 (2016).
- Tomokatsu Onaga, James P. Gleeson, Naoki Masuda.
Physical Review Letters, 119, 108301 (2017).
Jere Koskela slides
International Conference on Monte Carlo techniques
Closing conference of thematic cycle
Paris July 5-8th 2016
Campus les cordeliers
Jere Koskela's slides
Chaotic Communication for mobile applica
- Chaos is the aperiodic behavior in deterministic systems that exhibits sensitivity to initial conditions. Systems can be categorized as deterministic, stochastic, or chaotic.
- Chaotic communication systems use chaotic signals as carriers due to their noise-like properties like broad spectrum and self-synchronization. Digital messages have been successfully sent over long distances using chaotic modulation.
- Examples of chaotic systems include the Lorenz, Rossler, and Chen systems which are continuous dynamical systems, and the logistic map and tent map which are discrete dynamical systems. Chaotic systems demonstrate properties like sensitivity to initial conditions and system parameters.
Chaotic substitution box design for block ciphers
Presntation for my paper titled "Chaotic substitution box design for block ciphers" published at the SPIN conference AMITY school of engineering
poster_portrait
This document summarizes a simulation of two electrons in silicon under an externally applied potential. The simulation models the electron wavefunctions in two dimensions using a Schrodinger-Poisson solver. It calculates the quadrupole interaction between electrons through iterative calculations of the electron wavefunctions and their electrostatic interactions. Results show the quadrupole coupling increases with more prolate wavefunctions and is sufficient for use in quantum logic gates at realistic scales. Future work could provide more accurate results at higher resolution or extend the simulation to three dimensions.
1542 inner products
Alice wants to teleport an unknown quantum state ψ to Bob using prior entanglement and classical communication. They share one half of an entangled Bell state β each. Alice combines her half of β with ψ and performs a teleportation circuit involving CNOT and Hadamard gates. She then measures her two qubits and sends the results to Bob. Based on the received classical bits, Bob applies a Pauli operator to reconstruct the state ψ exactly at his location.
MMsemester project
This document is a semester project report submitted by Preeti Sahu to the Physics Department at Syracuse University. It summarizes her mathematical modeling of cellular oscillations driven by contractility and turnover in the actomyosin cytoskeleton. The report introduces increasingly complex mechanical models of cell contractility and viscosity. It then presents a model incorporating actomyosin turnover, showing the fixed point becomes unstable with oscillations emerging around the equilibrium state.
Week_10.2.pdf
1) The document discusses dynamic characteristics of measurement systems, focusing on zero-order, first-order, and second-order systems.
2) First-order systems exhibit an exponential response to a step input, reaching 63.2% of the final value after one time constant. The time constant can be determined experimentally from the step response.
3) Second-order systems can exhibit underdamped, critically damped, or overdamped responses depending on the damping ratio. The natural frequency and damping ratio characterize the system's dynamic behavior.
Discrete Nonlinear Optimal Control of S/C Formations Near The L1 and L2 poi...
Talk charts from 2005 AAS/AIAA Astrodynamics
Specialists Conference, held Aug 7-11, 2005, in Lake Tahoe, CA.
MASTER_THESIS-libre
1. The document discusses entanglement generation and state transfer in a Heisenberg spin-1/2 chain under an external magnetic field.
2. It analyzes the fidelity and concurrence of the system over time and temperature using the density matrix and Hamiltonian equations for a 2-qubit system.
3. The results show that maximally entangled states are difficult to achieve but desirable for quantum computation applications like quantum teleportation.
Similar to Theorem-proving Verification of Multi-clock Synchronous Circuits on Multimodal Logic (20)
Phase diagram for a zero-temperature Glauber dynamics under partially synchro...
Phase diagram for a zero-temperature Glauber dynamics under partially synchro...
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
Discrete Nonlinear Optimal Control of S/C Formations Near The L1 and L2 poi...
Discrete Nonlinear Optimal Control of S/C Formations Near The L1 and L2 poi...
More from Shunji Nishimura
Approximate-At-Most-k Encoding of SAT for Soft Constraints
This document proposes an approximate encoding method for at-most-k constraints that reduces boolean expressions compared to conventional encodings, though it does not cover all possible solutions. It recursively applies at-most constraints by multiplying the number of variables. For a 2x2 recursive model, it achieves a 44% solution coverage using only 15% of the literals required by a sequential counter encoding. The approximate encoding is intended for use with soft constraints to efficiently search for better solutions, rather than finding all possible solutions.
Classification of Sequential Circuits as Causal Functions
This document proposes a new behavioral classification of sequential circuits that categorizes synchronous circuits and multi-clock domain circuits in the same class. The classification is based on whether the circuit's behavior is time-preserving, meaning the temporal progress of inputs results in the inclusion of output sets, or not time-preserving. This unifies the treatment of synchronous circuits and multi-clock domain circuits while capturing their behavioral differences from asynchronous circuits. Formal expressions and concepts like dependent types and domain restriction are discussed in applying this classification approach.
Typing during Lectures as an Alternative for Blackboard Writing
Blackboard writing is one of the most basic method to give a lecture for a long time, but these days, the necessity of handwriting is decreasing due to the widespread use of digital devices. This study proposes an alternative method for writing blackboards: to input contents through PC keyboards and show them on a projector screen.
Stateless Circuit Model toward a Theorem-proving Hardware Description Language
（定理証明ハードウェア記述言語のためのステートレス回路モデル）
コンピュータ・ハードウェアを網羅的に検証する方法としてはモデル検査手法が広く普及しているが，検証対象の規模に対して計算資源が十分でない場合に検証結果が得られないという，状態爆発問題がある．本論文ではこの問題を解決するために定理証明の手法に注目し，定理証明HDL(Hardware Description Language)を実現するための回路モデルを提案している．
Broad-sense Synchronous Circuits on Partially Ordered Time
This document proposes a new definition of "broad-sense synchronous circuits" that generalizes conventional definitions. Broad-sense synchronous circuits are defined as those with an order-preserving referential map, which determines the time points a circuit can refer to in its feedback. This definition includes traditionally synchronous circuits using flip-flops but does not require them, and excludes memory-equipped circuits that can refer to arbitrary past times. The proposed definition aims to locate an appropriate level of generality between existing too-narrow and too-broad definitions of synchronous circuits.
同期回路の機能的定義による同期概念の形式化
同期回路は多くの場合Dフリップフロップ(D-FF)同期回路を指すが，D-FF同期回路のみが同期という概念の全てを十分に表しているとは考えられない．つまり，既存の同期回路というクラスは概念的に定められたクラスではないため，理論的立場からの，より良い同期回路クラスの定義が存在しうる．本稿では回路内部の構造に言及することなく，回路の外部からの視点，つまり機能的な視点から同期回路を論じ，“広義の同期回路”という概念を提案する．これにより従来の意味での同期回路及びディジタル回路全体へのより深い理解が得られるはずである．
多重様相論理による遅延依存非同期回路の形式検証体系
一般に遅延依存(Delay Sensitive)の非同期回路は遅延非依存(Delay Insensitive, DI)の非同期回路と比べて設計・検証のコストが高いが，得られる回路はスピードと回路面積に優れている．遅延依存回路の検証コストが高い要因の一つとして形式手法によるプロパティ・チェックができない点が挙げられるが，本稿ではこれを可能とする形式検証体系を提案する．提案の検証体系は様相論理の一種である多重様相論理に基づいており，回路中のある信号が ゲートを通る前と通った後を別の世界として扱うことで遅延の抽象化を行っている．この検証体系を用いた例として遅延依存のFIFOの検証を示す．
Generalized Isomorphism between Synchronous Circuits and State Machines
1) The document presents a generalized theory that models synchronous circuits and state machines using category theory.
2) It defines an evaluation operator and comprehensive latches to model circuits containing latches and flip-flops.
3) A natural transformation is used to transform the time structure of a circuit, showing an isomorphism between a D-latch circuit and corresponding state machine.
タイミング制約を含んだ回路記述方式とその意味論
数学的な理論に基づく厳密な検証が可能となることから，各種の形式検証手法が広がりつつあるが，その検証対象は同期回路に限られている．非同期回路については，遅延値が不明な回路記述のみを対象としての検証は意味をなさないからである．本稿では形式検証の対象を同期回路以外にも広げるべく，タイミング制約を含んだ回路記述方式とその意味論を提案する．提案の記述方式は，プログラミング言語のクラスArrowの概念を用いて構成要素中心の考え方を可能にする．また，その意味論は様相論理のクリプキ意味論を用い，抽象的な遅延の概念を導入する．提案の回路記述とその意味論により，非同期回路についても形式検証が可能となることを示す．また，実用化に向けた試みとして定理証明言語Agda上の実装もあわせて示す．
様相論理によるマルチクロック同期回路の形式検証体系
マルチクロック同期回路の形式検証(プロパティ・チェック)を可能にする検証体系を提案します。また、この体系を用いた例としてクロック切替え回路の検証を示します。
同期回路-ステート・マシン対応の一般化
圏論を用いて回路の表現及びその振るまい評価を可能とする新たなモデルを構築する．このモデルの下に，同期素子のクラスGLatchを新たに定義し，任意のGLatch同期回路に対して同じ振るまいを持つステートマシンを対応付られることを示す．
More from Shunji Nishimura (15)
Approximate-At-Most-k Encoding of SAT for Soft Constraints
Approximate-At-Most-k Encoding of SAT for Soft Constraints
Classification of Sequential Circuits as Causal Functions
Classification of Sequential Circuits as Causal Functions
Typing during Lectures as an Alternative for Blackboard Writing
Typing during Lectures as an Alternative for Blackboard Writing
Stateless Circuit Model toward a Theorem-proving Hardware Description Language
Stateless Circuit Model toward a Theorem-proving Hardware Description Language
Broad-sense Synchronous Circuits on Partially Ordered Time
Broad-sense Synchronous Circuits on Partially Ordered Time
Generalized Isomorphism between Synchronous Circuits and State Machines
Generalized Isomorphism between Synchronous Circuits and State Machines
Recently uploaded
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
A review on techniques and modelling methodologies used for checking electrom...
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
The Python for beginners. This is an advance computer language.
Python language is very important language at this time. we can easily understand this language by these notes.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, SerbiaLiterature Review Basics and Understanding Reference Management.pptx
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Recently uploaded (20)
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
Recycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part III
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Literature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptx
Theorem-proving Verification of Multi-clock Synchronous Circuits on Multimodal Logic
- 1. 1 Problem : For multi-clock synchronous circuit, model-checking verification needs to specify the relations between clocks. ex. at least 2 edges of clock B occur in a period of clock A. Because the state space explodes without the relations. Aim : Formal verification without the relations between clocks. We adopt theorem-proving method. Theorem-proving Verification of Multi-clock Synchronous Circuits on Multimodal Logic Shunji Nishimura
- 2. Method : 2 comb. circuit 0 ⓪ st0 = f0 (in, st0, st1) ① st1 = f1 (in, st0, st1) ○ st = f (in, st) in temporal logic in 1 in multimodal logic this study …previous … st0 single clock multi-clock st1 comb. circuit in st NEXT operator Theorem-proving Verification of Multi-clock Synchronous Circuits on Multimodal Logic
- 3. Theorem-proving Verification of Multi-clock Synchronous Circuits on Multimodal Logic 3 clk0 clk1 sel1 en0 en1 out derives □(sel1 = 0) ⇒ ◇□(out = clk0). This means ”when sel1 is always 0, clk0 will come out eventually.” Verification ex. : clock selector □ : GLOBALLY ◇ : FUTURE
Editor's Notes
- 1
- 2
- 3