MRET2 λ=3.8123
0.2 λ variable
0
1000 2000 3000 4000 5000 6000 7000 8000 9000
The document discusses the analysis and design of encryption strategies based on discrete-time chaotic dynamical systems. It covers 3 key topics: 1) Why chaos-based encryption is used and how it works, 2) Important design rules for chaos-based cryptosystems, and 3) Methods for analyzing the security of chaos-based encryption, such as estimating cryptosystem parameters from ciphertext or measuring the entropy of the underlying chaotic map.
Monte Caro Simualtions, Sampling and Markov Chain Monte CarloXin-She Yang
Pseudorandom
Pseudorandom The document discusses Monte Carlo methods and Markov chain Monte Carlo (MCMC). It provides examples of using Monte Carlo simulations to estimate pi and solve Buffon's needle problem. It also discusses random walks in Markov chains, the PageRank algorithm used by Google, and challenges with high-dimensional integrals and distributions that do not have a closed-form inverse. MCMC methods are presented as a way to address these challenges.
Apresentação sobre Criptografia baseada em reticulados (lattices), realizada no contexto da disciplina de Post-Quantum Cryptography do PPGCC da UFSC.
Versão odp: http://coenc.td.utfpr.edu.br/~giron/presentations/aula_lattice.odp
Lattice Based Cryptography - GGH CryptosystemVarun Janga
This document discusses lattice-based cryptography and the GGH cryptosystem. It provides an overview of lattices and their properties. The GGH cryptosystem is based on the closest vector problem in lattices. The private key is a good basis for a lattice, while the public key is a bad basis for the same lattice. The document describes the key generation process and analyzes attacks on the GGH cryptosystem such as the embedding attack and Nguyen's attack based on leaking remainders. It also discusses advantages and disadvantages of lattice-based cryptography.
The document discusses the RSA cryptosystem. It begins by explaining that RSA is an important public-key cryptosystem based on the difficulty of factoring large integers. It then provides examples of how RSA works, including choosing prime numbers p and q to generate the public and private keys, and using modular exponentiation to encrypt and decrypt messages. The document also discusses the importance of integer factorization for the security of RSA, and considerations for designing a secure RSA system, such as choosing sufficiently large prime numbers.
The document discusses Kolmogorov complexity as a framework for understanding randomness and probability. It covers several key topics:
1) Kolmogorov complexity is defined as the length of the shortest program that produces a given string, and can be used to formalize the notion of randomness as incompressibility.
2) An algorithmic approach to probability theory is presented where a random sequence is defined as one whose prefixes have high Kolmogorov complexity. This aligns with the classical notion that random sequences satisfy laws of large numbers.
3) The complexity of sampling truly random strings from a device is discussed, and how the algorithmic and classical views of randomness relate under certain assumptions.
4) Examples are given
Solvability of Fractionl q -Difference Equations of Order 2 3 Involving ...journal ijrtem
This document summarizes a research paper that studies the existence of solutions for nonlinear fractional q-difference equations involving the p-Laplacian operator with boundary conditions where α is between 3/2 and 2. The paper represents the solution of the boundary value problem as an integral equation and proves, under certain conditions, that the nonlinear fractional boundary value problem has a unique solution using the Banach contraction mapping principle. It also provides relevant definitions and preliminary results from fractional q-calculus that are used in the analysis.
This document describes a second order transfer function model and classifies different types of second order systems based on their damping ratio (ζ). It defines an undamped system as one where ζ=0, an underdamped system as 0<ζ<1, a critically damped system as ζ=1, and an overdamped system as ζ>1. For each case, it provides the characteristic equation, location of poles in the s-plane, and form of the homogeneous solution. It also discusses transient response properties like rise time, peak time, settling time, and maximum percent overshoot for an underdamped system.
This document discusses Hidden Markov Models (HMMs) and Markov chains. It begins with an introduction to Markov processes and how HMMs are used in various domains like natural language processing. It then describes the properties of a Markov chain, which has a set of states that the system transitions between randomly at discrete time steps based on transition probabilities. The Markov property is explained as the conditional independence of future states from past states given the present state. HMMs extend Markov chains by making the state sequence hidden and only allowing observation of the output states.
Monte Caro Simualtions, Sampling and Markov Chain Monte CarloXin-She Yang
Pseudorandom
Pseudorandom The document discusses Monte Carlo methods and Markov chain Monte Carlo (MCMC). It provides examples of using Monte Carlo simulations to estimate pi and solve Buffon's needle problem. It also discusses random walks in Markov chains, the PageRank algorithm used by Google, and challenges with high-dimensional integrals and distributions that do not have a closed-form inverse. MCMC methods are presented as a way to address these challenges.
Apresentação sobre Criptografia baseada em reticulados (lattices), realizada no contexto da disciplina de Post-Quantum Cryptography do PPGCC da UFSC.
Versão odp: http://coenc.td.utfpr.edu.br/~giron/presentations/aula_lattice.odp
Lattice Based Cryptography - GGH CryptosystemVarun Janga
This document discusses lattice-based cryptography and the GGH cryptosystem. It provides an overview of lattices and their properties. The GGH cryptosystem is based on the closest vector problem in lattices. The private key is a good basis for a lattice, while the public key is a bad basis for the same lattice. The document describes the key generation process and analyzes attacks on the GGH cryptosystem such as the embedding attack and Nguyen's attack based on leaking remainders. It also discusses advantages and disadvantages of lattice-based cryptography.
The document discusses the RSA cryptosystem. It begins by explaining that RSA is an important public-key cryptosystem based on the difficulty of factoring large integers. It then provides examples of how RSA works, including choosing prime numbers p and q to generate the public and private keys, and using modular exponentiation to encrypt and decrypt messages. The document also discusses the importance of integer factorization for the security of RSA, and considerations for designing a secure RSA system, such as choosing sufficiently large prime numbers.
The document discusses Kolmogorov complexity as a framework for understanding randomness and probability. It covers several key topics:
1) Kolmogorov complexity is defined as the length of the shortest program that produces a given string, and can be used to formalize the notion of randomness as incompressibility.
2) An algorithmic approach to probability theory is presented where a random sequence is defined as one whose prefixes have high Kolmogorov complexity. This aligns with the classical notion that random sequences satisfy laws of large numbers.
3) The complexity of sampling truly random strings from a device is discussed, and how the algorithmic and classical views of randomness relate under certain assumptions.
4) Examples are given
Solvability of Fractionl q -Difference Equations of Order 2 3 Involving ...journal ijrtem
This document summarizes a research paper that studies the existence of solutions for nonlinear fractional q-difference equations involving the p-Laplacian operator with boundary conditions where α is between 3/2 and 2. The paper represents the solution of the boundary value problem as an integral equation and proves, under certain conditions, that the nonlinear fractional boundary value problem has a unique solution using the Banach contraction mapping principle. It also provides relevant definitions and preliminary results from fractional q-calculus that are used in the analysis.
This document describes a second order transfer function model and classifies different types of second order systems based on their damping ratio (ζ). It defines an undamped system as one where ζ=0, an underdamped system as 0<ζ<1, a critically damped system as ζ=1, and an overdamped system as ζ>1. For each case, it provides the characteristic equation, location of poles in the s-plane, and form of the homogeneous solution. It also discusses transient response properties like rise time, peak time, settling time, and maximum percent overshoot for an underdamped system.
This document discusses Hidden Markov Models (HMMs) and Markov chains. It begins with an introduction to Markov processes and how HMMs are used in various domains like natural language processing. It then describes the properties of a Markov chain, which has a set of states that the system transitions between randomly at discrete time steps based on transition probabilities. The Markov property is explained as the conditional independence of future states from past states given the present state. HMMs extend Markov chains by making the state sequence hidden and only allowing observation of the output states.
WAVELET-PACKET-BASED ADAPTIVE ALGORITHM FOR SPARSE IMPULSE RESPONSE IDENTIFI...bermudez_jcm
Presented at IEEE ICASSP-2007:
This paper proposes a wavelet-packet-based (WPB) algorithm for efficient identification of sparse impulse responses with arbitrary frequency spectra. The discrete wavelet packet transform (DWPT) is adaptively tailored to the energy distribution of the unknown system\'s response spectrum. The new algorithm leads to a reduced number of active coefficients and to a reduced computational complexity, when compared to competing wavelet-based algorithms. Simulation results illustrate the applicability of the proposed algorithm.
The Art of Multiprocessor Programmin Chapter 05 with Japanese comment.kazuo nemoto
This document provides a summary of key concepts from a chapter on synchronization operations in multiprocessor programming. It discusses mathematical models of concurrent computation and wait-free implementations. It explains the consensus problem and proves that there is no wait-free implementation of consensus from read-write registers alone using a two-thread example. Key points include that consensus requires coordination beyond what atomic registers can provide, and that consensus protocols may reach a "critical state" leading to a contradiction.
This document outlines and compares classical random walks, quantum random walks, and quantum random walks with memory. It introduces the key concepts of classical random walks on a line involving coin flips to move left or right. Quantum random walks are then described as taking place on a state space involving position and coin states, with transitions defined by unitary operators. Finally, quantum random walks with memory are discussed as generalizing the model to include memory of previous coin states.
This document discusses likelihood methods for continuous-time models in finance. It describes approximating the transition density function pX of a continuous-time process through a series of transformations to get closer to a normal distribution. This allows representing pX as a series expansion involving Hermite polynomials. Computing the expansion coefficients allows obtaining an explicit closed-form approximation to pX. Maximizing the approximate likelihood results in an estimator that converges to the true MLE as the number of terms increases.
This document presents methods for detecting encrypted code on confiscated hard drives. It proposes using the Barkman crypto indicator to measure how uniformly characters are distributed in code blocks, with a more even distribution suggesting encryption. It describes applying change point detection algorithms like CUSUM and Shiryaev to the indicator values over time to detect when encrypted code begins. The performance of these methods is evaluated based on their conditional expected delay and predictive value in detecting the change point while controlling the rate of false alarms.
Stability of adaptive random-walk Metropolis algorithmsBigMC
The document discusses adaptive MCMC algorithms and their stability. It introduces the stochastic approximation framework that is commonly used to construct adaptive MCMC algorithms. It then discusses issues with stability as the adaptive parameters are updated, and how enforced stability or adaptive reprojections can help address this. Finally, it provides examples of the adaptive Metropolis algorithm and adaptive scaling Metropolis algorithm, which aim to automatically tune the proposal distribution scale parameter.
This document contains a Java program that implements the Cyclic Redundancy Check (CRC) algorithm for error detection in data transmission. The CRC algorithm uses polynomial arithmetic to compute a checksum over transmitted data by dividing the data by a fixed generator polynomial. The checksum is appended to the data before transmission. On the receiving end, the data and checksum are divided again by the generator polynomial. If the remainder is non-zero, then an error is detected in the received data. The Java program takes input data and generator polynomial from the user, computes the CRC checksum, transmits the data with checksum, and checks for errors on receiving end.
This document discusses nondeterminism in finite automata. It defines nondeterministic finite automata (NFAs) which can be in multiple states simultaneously, unlike deterministic finite automata (DFAs) which can only be in one state at a time. The document proves that NFAs and DFAs have equivalent power by describing a subset construction algorithm to transform any NFA into an equivalent DFA. It also discusses epsilon transitions in NFAs and how to remove them.
The document discusses scalar quantization and the Lloyd-Max algorithm. It provides examples of using the Lloyd-Max algorithm to design scalar quantizers for Gaussian and Laplacian distributed signals. The algorithm works by iteratively calculating decision thresholds and representative levels to minimize mean squared error. At high rates, the distortion-rate function of a Lloyd-Max quantizer is approximated. The document also discusses entropy-constrained scalar quantization and an iterative algorithm to design those quantizers.
The document discusses online handwritten character recognition in the Devanagari script using a hierarchical partitioned hidden Markov model approach. Key steps include preprocessing strokes, extracting directional features, using single linkage clustering to select prototypes, and building a two-layer model with bottom HMMs for clusters and an upper attribute graph layer. Mathematical foundations show that pruning points does not impact the dynamic time warping distance measure between strokes. The approach achieves a recognition rate of 91.24% on a test dataset.
M. Haack - Nernst Branes in Gauged SupergravitySEENET-MTP
The document discusses finding black brane solutions in gauged supergravity that satisfy the Nernst law of thermodynamics by having vanishing entropy at zero temperature. It reviews how extremal Reissner-Nordström black branes have non-zero entropy at zero temperature. The paper then presents a solution for a "Nernst brane" in STU supergravity that has vanishing entropy density as temperature goes to zero and satisfies the first-order equations from supersymmetry. Finding such Nernst brane solutions could provide insights into the gauge/gravity correspondence at finite temperature and charge density.
- The document discusses various techniques for Markov chain Monte Carlo (MCMC) sampling, including rejection sampling, Metropolis-Hastings, and Gibbs sampling.
- It explains how MCMC can be used for approximate probabilistic inference in complex models by constructing a Markov chain that converges to the target distribution.
- Diagnostics are discussed for checking if the Markov chain has converged, such as visual inspection of trace plots, and Geweke and Gelman-Rubin tests of the within-chain and between-chain variances.
DSP_FOEHU - MATLAB 02 - The Discrete-time Fourier AnalysisAmr E. Mohamed
This document discusses the discrete-time Fourier transform (DTFT) and its properties. It provides examples of calculating the DTFT of sequences and using it to analyze linear time-invariant (LTI) systems. The key points are:
1. The DTFT represents a discrete-time signal as a complex-valued continuous function of digital frequency. It has periodicity and symmetry properties useful for analysis.
2. LTI systems can be analyzed in the frequency domain using their frequency response, which is the DTFT of the system's impulse response.
3. The steady-state response of an LTI system to an input signal can be computed from the system's frequency response evaluated at the input signal's
This document provides an introduction to Hidden Markov Models (HMMs). It begins by explaining the key differences between Markov Models and HMMs, noting that in HMMs the states are hidden and can only be indirectly observed through observations. It then outlines the main elements of an HMM - the number of states, observations, state transition probabilities, observation probabilities, and initial state distribution. An example HMM is provided. Finally, it briefly introduces three common problems in HMMs - determining the most likely model given observations, determining the most likely state sequence, and determining the model parameters that are most likely to have generated the observations.
The document discusses the Discrete Fourier Transform (DFT). It begins by explaining the limitations of the Discrete Time Fourier Transform (DTFT) and Discrete Fourier Series (DFS) from a numerical computation perspective. It then introduces the DFT as a numerically computable transform obtained by sampling the DTFT in the frequency domain. The DFT represents a periodic discrete-time signal using a sum of complex exponentials. It defines the DFT and inverse DFT equations. The document also discusses properties of the DFT such as linearity and time/frequency shifting. Finally, it notes that the Fast Fourier Transform (FFT) implements the DFT more efficiently by constraining the number of points to powers of two.
1) Markov models and hidden Markov models describe systems that transition between states based on probabilities, where the next state depends only on the current state.
2) Markov models assume each state corresponds to a directly observable event, while hidden Markov models allow states to be hidden and observations to depend probabilistically on the current state.
3) Transition and initial state probabilities can be described using a transition matrix in Markov models to calculate the probability of state sequences.
This document presents a new class of restricted quantum membrane systems. The key ideas are to define membrane systems that operate under strictly unitary quantum evolution rules, avoiding problems associated with transferring objects between membranes. A cascading membrane P system is defined, where membranes are arranged hierarchically with input and output spaces coupled in a pipeline. Computation proceeds by applying unitary operators to manipulate qubit registers representing object degrees in each membrane. This model is shown to be capable of simulating classical automata. The approach aims to combine variants of P systems with quantum computing techniques in a way that is consistent with underlying quantum physics.
The document summarizes Tiark Rompf's talk on using the Delite framework to build domain-specific languages (DSLs) that can be optimized and compiled to different low-level architectures. It provides examples of existing DSLs created with Delite for machine learning, data querying, graph analysis, and collections. The talk discussed how DSLs allow writing programs at a high-level that can then be optimized and generated into high-performance code.
This document provides an overview of frequency analysis techniques for signals and systems, including the Fourier series, Fourier transform, discrete-time Fourier series (DTFS), discrete-time Fourier transform (DTFT), and discrete Fourier transform (DFT). It discusses properties and applications of these techniques, such as analyzing periodic and aperiodic signals. Examples are provided to illustrate calculating the Fourier series and transform of simple signals. The document also covers sampling theory and the Nyquist criterion for proper reconstruction of signals from samples.
The document discusses process design capabilities available on the Prabandhan software framework. Key features include defining holistic and department-centric processes focused on objectives and customer value. Processes can be core or support and involve related activities, inputs/outputs, performance measures, standard operating procedures, and responsibility assignment. The Prabandhan framework allows designing and controlling end-to-end processes across organizational boundaries. It was developed by Orion Consulting Services based on their experience developing management systems for over 50 clients.
This document provides information about the Religious Education program for 2015 at a Unitarian Universalist congregation. It summarizes the monthly themes and activities for children and youth programs from July to December, including World of Wonder curriculum, disability awareness, multicultural music, letting go, ancestry and thanksgiving. It highlights special events like visits from Oaken Acres animals and participation in community gardening. The document encourages volunteer involvement and provides details on different volunteer roles to support the RE program.
WAVELET-PACKET-BASED ADAPTIVE ALGORITHM FOR SPARSE IMPULSE RESPONSE IDENTIFI...bermudez_jcm
Presented at IEEE ICASSP-2007:
This paper proposes a wavelet-packet-based (WPB) algorithm for efficient identification of sparse impulse responses with arbitrary frequency spectra. The discrete wavelet packet transform (DWPT) is adaptively tailored to the energy distribution of the unknown system\'s response spectrum. The new algorithm leads to a reduced number of active coefficients and to a reduced computational complexity, when compared to competing wavelet-based algorithms. Simulation results illustrate the applicability of the proposed algorithm.
The Art of Multiprocessor Programmin Chapter 05 with Japanese comment.kazuo nemoto
This document provides a summary of key concepts from a chapter on synchronization operations in multiprocessor programming. It discusses mathematical models of concurrent computation and wait-free implementations. It explains the consensus problem and proves that there is no wait-free implementation of consensus from read-write registers alone using a two-thread example. Key points include that consensus requires coordination beyond what atomic registers can provide, and that consensus protocols may reach a "critical state" leading to a contradiction.
This document outlines and compares classical random walks, quantum random walks, and quantum random walks with memory. It introduces the key concepts of classical random walks on a line involving coin flips to move left or right. Quantum random walks are then described as taking place on a state space involving position and coin states, with transitions defined by unitary operators. Finally, quantum random walks with memory are discussed as generalizing the model to include memory of previous coin states.
This document discusses likelihood methods for continuous-time models in finance. It describes approximating the transition density function pX of a continuous-time process through a series of transformations to get closer to a normal distribution. This allows representing pX as a series expansion involving Hermite polynomials. Computing the expansion coefficients allows obtaining an explicit closed-form approximation to pX. Maximizing the approximate likelihood results in an estimator that converges to the true MLE as the number of terms increases.
This document presents methods for detecting encrypted code on confiscated hard drives. It proposes using the Barkman crypto indicator to measure how uniformly characters are distributed in code blocks, with a more even distribution suggesting encryption. It describes applying change point detection algorithms like CUSUM and Shiryaev to the indicator values over time to detect when encrypted code begins. The performance of these methods is evaluated based on their conditional expected delay and predictive value in detecting the change point while controlling the rate of false alarms.
Stability of adaptive random-walk Metropolis algorithmsBigMC
The document discusses adaptive MCMC algorithms and their stability. It introduces the stochastic approximation framework that is commonly used to construct adaptive MCMC algorithms. It then discusses issues with stability as the adaptive parameters are updated, and how enforced stability or adaptive reprojections can help address this. Finally, it provides examples of the adaptive Metropolis algorithm and adaptive scaling Metropolis algorithm, which aim to automatically tune the proposal distribution scale parameter.
This document contains a Java program that implements the Cyclic Redundancy Check (CRC) algorithm for error detection in data transmission. The CRC algorithm uses polynomial arithmetic to compute a checksum over transmitted data by dividing the data by a fixed generator polynomial. The checksum is appended to the data before transmission. On the receiving end, the data and checksum are divided again by the generator polynomial. If the remainder is non-zero, then an error is detected in the received data. The Java program takes input data and generator polynomial from the user, computes the CRC checksum, transmits the data with checksum, and checks for errors on receiving end.
This document discusses nondeterminism in finite automata. It defines nondeterministic finite automata (NFAs) which can be in multiple states simultaneously, unlike deterministic finite automata (DFAs) which can only be in one state at a time. The document proves that NFAs and DFAs have equivalent power by describing a subset construction algorithm to transform any NFA into an equivalent DFA. It also discusses epsilon transitions in NFAs and how to remove them.
The document discusses scalar quantization and the Lloyd-Max algorithm. It provides examples of using the Lloyd-Max algorithm to design scalar quantizers for Gaussian and Laplacian distributed signals. The algorithm works by iteratively calculating decision thresholds and representative levels to minimize mean squared error. At high rates, the distortion-rate function of a Lloyd-Max quantizer is approximated. The document also discusses entropy-constrained scalar quantization and an iterative algorithm to design those quantizers.
The document discusses online handwritten character recognition in the Devanagari script using a hierarchical partitioned hidden Markov model approach. Key steps include preprocessing strokes, extracting directional features, using single linkage clustering to select prototypes, and building a two-layer model with bottom HMMs for clusters and an upper attribute graph layer. Mathematical foundations show that pruning points does not impact the dynamic time warping distance measure between strokes. The approach achieves a recognition rate of 91.24% on a test dataset.
M. Haack - Nernst Branes in Gauged SupergravitySEENET-MTP
The document discusses finding black brane solutions in gauged supergravity that satisfy the Nernst law of thermodynamics by having vanishing entropy at zero temperature. It reviews how extremal Reissner-Nordström black branes have non-zero entropy at zero temperature. The paper then presents a solution for a "Nernst brane" in STU supergravity that has vanishing entropy density as temperature goes to zero and satisfies the first-order equations from supersymmetry. Finding such Nernst brane solutions could provide insights into the gauge/gravity correspondence at finite temperature and charge density.
- The document discusses various techniques for Markov chain Monte Carlo (MCMC) sampling, including rejection sampling, Metropolis-Hastings, and Gibbs sampling.
- It explains how MCMC can be used for approximate probabilistic inference in complex models by constructing a Markov chain that converges to the target distribution.
- Diagnostics are discussed for checking if the Markov chain has converged, such as visual inspection of trace plots, and Geweke and Gelman-Rubin tests of the within-chain and between-chain variances.
DSP_FOEHU - MATLAB 02 - The Discrete-time Fourier AnalysisAmr E. Mohamed
This document discusses the discrete-time Fourier transform (DTFT) and its properties. It provides examples of calculating the DTFT of sequences and using it to analyze linear time-invariant (LTI) systems. The key points are:
1. The DTFT represents a discrete-time signal as a complex-valued continuous function of digital frequency. It has periodicity and symmetry properties useful for analysis.
2. LTI systems can be analyzed in the frequency domain using their frequency response, which is the DTFT of the system's impulse response.
3. The steady-state response of an LTI system to an input signal can be computed from the system's frequency response evaluated at the input signal's
This document provides an introduction to Hidden Markov Models (HMMs). It begins by explaining the key differences between Markov Models and HMMs, noting that in HMMs the states are hidden and can only be indirectly observed through observations. It then outlines the main elements of an HMM - the number of states, observations, state transition probabilities, observation probabilities, and initial state distribution. An example HMM is provided. Finally, it briefly introduces three common problems in HMMs - determining the most likely model given observations, determining the most likely state sequence, and determining the model parameters that are most likely to have generated the observations.
The document discusses the Discrete Fourier Transform (DFT). It begins by explaining the limitations of the Discrete Time Fourier Transform (DTFT) and Discrete Fourier Series (DFS) from a numerical computation perspective. It then introduces the DFT as a numerically computable transform obtained by sampling the DTFT in the frequency domain. The DFT represents a periodic discrete-time signal using a sum of complex exponentials. It defines the DFT and inverse DFT equations. The document also discusses properties of the DFT such as linearity and time/frequency shifting. Finally, it notes that the Fast Fourier Transform (FFT) implements the DFT more efficiently by constraining the number of points to powers of two.
1) Markov models and hidden Markov models describe systems that transition between states based on probabilities, where the next state depends only on the current state.
2) Markov models assume each state corresponds to a directly observable event, while hidden Markov models allow states to be hidden and observations to depend probabilistically on the current state.
3) Transition and initial state probabilities can be described using a transition matrix in Markov models to calculate the probability of state sequences.
This document presents a new class of restricted quantum membrane systems. The key ideas are to define membrane systems that operate under strictly unitary quantum evolution rules, avoiding problems associated with transferring objects between membranes. A cascading membrane P system is defined, where membranes are arranged hierarchically with input and output spaces coupled in a pipeline. Computation proceeds by applying unitary operators to manipulate qubit registers representing object degrees in each membrane. This model is shown to be capable of simulating classical automata. The approach aims to combine variants of P systems with quantum computing techniques in a way that is consistent with underlying quantum physics.
The document summarizes Tiark Rompf's talk on using the Delite framework to build domain-specific languages (DSLs) that can be optimized and compiled to different low-level architectures. It provides examples of existing DSLs created with Delite for machine learning, data querying, graph analysis, and collections. The talk discussed how DSLs allow writing programs at a high-level that can then be optimized and generated into high-performance code.
This document provides an overview of frequency analysis techniques for signals and systems, including the Fourier series, Fourier transform, discrete-time Fourier series (DTFS), discrete-time Fourier transform (DTFT), and discrete Fourier transform (DFT). It discusses properties and applications of these techniques, such as analyzing periodic and aperiodic signals. Examples are provided to illustrate calculating the Fourier series and transform of simple signals. The document also covers sampling theory and the Nyquist criterion for proper reconstruction of signals from samples.
The document discusses process design capabilities available on the Prabandhan software framework. Key features include defining holistic and department-centric processes focused on objectives and customer value. Processes can be core or support and involve related activities, inputs/outputs, performance measures, standard operating procedures, and responsibility assignment. The Prabandhan framework allows designing and controlling end-to-end processes across organizational boundaries. It was developed by Orion Consulting Services based on their experience developing management systems for over 50 clients.
This document provides information about the Religious Education program for 2015 at a Unitarian Universalist congregation. It summarizes the monthly themes and activities for children and youth programs from July to December, including World of Wonder curriculum, disability awareness, multicultural music, letting go, ancestry and thanksgiving. It highlights special events like visits from Oaken Acres animals and participation in community gardening. The document encourages volunteer involvement and provides details on different volunteer roles to support the RE program.
Framework Design Guidelines For Brussels Users Groupbrada
This document summarizes 10 years of experience with framework design guidelines from Microsoft. It discusses core principles of framework design that have remained the same over 10 years, such as layering dependencies and managing types. It also outlines new advances like test-driven development, dependency injection, and tools for dependency management and framework design. The document concludes by emphasizing that framework design principles have stayed consistent while new techniques have emerged to help implement those principles.
Nimble Framework has evolved over time period while working across various industry domains and varying technology platforms in agile projects and programs. Nimble is accumulation of experiences and learnings.
I intend to talk about “Nimble framework - Software architecture & design in agile era” which can give insight into how to create and manage software architecture with proper mix of intentional and emergence.
Key concepts center around:
a. Handling of architecture and design in new product development, maintenance of a product, technology refresh, and major functionality revamp
b. Thought process while dealing with architecture and design
c. Development of team capability with respect to architecture and design
OSVR Software Framework - Core - April 2015Ryan A. Pavlik
The OSVR (Open Source Virtual Reality) framework is a fully open-source framework facilitating the connection between virtual reality hardware, algorithms, and applications. I presented this talk in my role as senior software engineer at Sensics, the founding contributor of OSVR.
Originally presented in CONVRGE on 19 April 2015, this talk gives a birds-eye view of the architecture of OSVR, then proceeds to a deep dive into the "path tree", semantic names, and aliases, from the perspective of the OSVR Core.
This document outlines Arry Akhmad Arman's framework for software development. It discusses defining the scope of a software project, estimating costs, choosing a development life cycle model, and the importance of project management and quality assurance. Specific models covered include waterfall, incremental, RAD, evolutionary prototypes, unified process. Key aspects of project management like scope, time, cost, quality and risk management are also summarized. The document aims to provide guidance on best practices for successful software development.
Design Frameworks for Analysis and Synthesis of Complex Systemsdrjanroodt
The document discusses frameworks and models for analyzing complex systems. It proposes using design frameworks that cascade a problem through analysis and synthesis loops to develop solutions. This allows problems to be probed, sensed and responded to, as complex systems cannot be reduced or have fixed targets. Examples of applying this approach to developing a military capability, designing a new hospital, and developing business frameworks are provided. The conclusion advocates for design engineering as a core process that is user-focused, generates traceable outputs, and reduces risks when defining solutions.
Teaching requirements analysis REET 2014 at RE2014Luisa Mich
Teaching requirements analysis to computer science and information system students raises a number of challenges. One of the most critical is the gap between skills needed to deal with software requirements and those necessary to grasp the business problems. To bridge that gap in teaching requirements analysis students would have to carry out an assignment of analyzing requirements for a non-trivial, term-sized project. Here we analyze the gap and propose a framework for student projects which integrates a model of the computer based system as a solution to business challenges into a template for a business requirements document. The first model comes from information systems literature and the second from an object oriented analysis approach for business analysis. A CASE (computer aided software engineering) tool to support UML (unified modeling language) modeling is also used and we give some guidelines to reduce risks of premature requirements modeling due to students’ tendency to start modeling, even if business analysis and requirements elicitation have just started. The proposed framework has been defined in many years of teaching and allowed to overcome some of the limitations of a traditional UML-focused course. Student projects of different academic terms – in different courses and different degrees – showed improved requirements models and better comprehension of the role of requirements in the later terms. Moreover, the students appeared to have greater interest and motivation towards this area of software engineering.
How UI Framework improves design processMarian Mota
Learn how UI Framework improves design processn and why it is helpful for building web software products and encouraging rapid prototyping in Agile software enviroments
In the context of Iterative Software Development, we ask the question: How much design should be done "up front"?
We propose the approach of Adaptable Design Up Front, which focuses on capturing the essential aspects of the system and plans for extensibility and adaptability.
A modern approach to game analysis and design: the AGE frameworkRoberto Dillon
The document introduces the A.G.E. framework for analyzing games. It begins by discussing existing models like MDA and their limitations. The A.G.E. framework breaks down games into Actions, Gameplay, and Experience. It then discusses using the "6-11 framework" to analyze the emotional Experience component, looking at how 6 basic emotions and 11 instincts relate to gameplay elements. Examples are provided analyzing how specific game mechanics trigger emotions and instincts to create desired experiences for players. The framework provides a systematic way to understand what makes games fun and engaging at a deeper level.
This project is a urban design framework proposal for a site in the district of Usme in the city of Bogota, Colombia. It is an environmental analysis, critique of the purposed plan, and recommendation for a new plan that is framed by environment and ecological interventions.
How UI Framework improves design process - 2015 (Dribbble meetup)Marian Mota
This document outlines how a UI framework can improve the design process. It discusses some common problems like miscommunication between teams and inconsistent design. It then introduces a UI framework as a living library of patterns, standards, and behaviors that provides benefits like allowing reuse of assets, rapid prototyping, and standardized elements. It covers the framework's foundation including colors, grids, typography. It also covers components, patterns, and additional resources that are part of the framework.
This case study demonstrates a simple design framework of standardized information architecture building blocks that is directly applicable to portals and the DIY model for creating user experiences, in two ways. First, the building blocks framework can help maintain findability, usability and user experience quality in portal and DIY settings by effectively guiding growth and change. Second, it is an example of the changing role of IA in the DIY world, where we now define the frameworks and templates other people choose from when creating their own tools and user experiences.
Using many screenshots and design documents, the case study will follow changes in the audiences, structures, and contents of a suite of enterprise portals constructed for users in different countries, operating units, and managerial levels of a major global corporation. Participants will see how the building blocks provided an effective framework for the design, expansion, and integration of nearly a dozen distinct portals assembled from a common library of functionality and content.
This case study will also explore the building blocks as an example of the design frameworks IA’s will create in the DIY future. We will discuss the goals and design principles that inspired the building blocks system, and review its evolution over time.
The document discusses key concepts in design modeling for software engineering projects, including:
- Data/class design transforms analysis models into design class structures and data structures.
- Architectural design defines relationships between major software elements and how they interact.
- Interface, component, and other designs further refine elements from analysis into implementation-specific details.
- Design principles include traceability to analysis, avoiding reinventing solutions, and structuring for change and graceful degradation.
This document discusses the emergence of chimera states, a unique collective state where coherent and incoherent dynamics coexist, in a system of non-locally coupled phase oscillators with propagation delays. It presents the complex Ginzburg-Landau equation (CGLE) model of reaction-diffusion systems and derives a phase reduction with propagation time delays. Numerical simulations and solutions to the self-consistency equation validate the existence of chimera clusters induced by time delays.
This document discusses the emergence of chimera states, a unique collective state where coherent and incoherent dynamics coexist, in a system of non-locally coupled phase oscillators with propagation delays. It presents the complex Ginzburg-Landau equation (CGLE) model of reaction-diffusion systems and derives a phase reduction with propagation time delays. Numerical simulations and solutions to the self-consistency equation reveal chimera cluster states induced by the time delays.
The document discusses Taylor series and how they can be used to approximate functions. It provides an example of using Taylor series to approximate the cosine function. Specifically:
1) It derives the Taylor series for the cosine function centered at x=0.
2) It shows that this Taylor series converges absolutely for all x.
3) It demonstrates that the Taylor series equals the cosine function everywhere based on properties of the remainder term.
4) It provides an example of using the Taylor series to approximate cos(0.1) to within 10^-7, the accuracy of a calculator display.
This document provides an overview of discrete-time signals and systems in digital signal processing (DSP). It discusses key concepts such as:
1) Discrete-time signals which are represented by sequences of numbers and how common signals like impulses and steps are represented.
2) Discrete-time systems which take a discrete-time signal as input and produce an output signal through a mathematical algorithm, with the impulse response characterizing the system.
3) Important properties of linear time-invariant (LTI) systems including superposition, time-shifting of inputs and outputs, and representation using convolution sums or difference equations.
This document provides an overview of key concepts related to random processes, including:
1) Random processes can be described statistically using properties like the mean, variance, autocorrelation, and spectral density.
2) Stationary and ergodic processes have statistical properties that do not vary over time or between samples.
3) Autocorrelation describes the dependency of a process on past values, while spectral density describes the frequency content.
4) Cross-correlation and cross-spectral density characterize the relationship between two random processes.
5) The response of a linear system to a random input can be related to the input's spectral density using the system's transfer function.
Cyclic codes have an algebraic structure that allows them to be specified concisely using a single generator polynomial. A cyclic code C of length n is a set of codewords that is generated by a polynomial g(x) that divides x^n - 1. Every cyclic code C can be expressed as 〈g(x)〉, where g(x) is the unique monic generator polynomial of smallest degree. The dimension of C is n - degree(g(x)). A generator matrix for C can be constructed by using the coefficients of g(x).
This document contains a mid-term test for a signals and systems engineering diploma assessment. The test contains 4 questions that assess topics such as determining if signals are periodic or aperiodic, sketching signals, evaluating convolution sums and integrals, defining Laplace and z-transforms, and using properties like shifting to find impulse responses of linear time-invariant systems. The test aims to evaluate students' understanding of fundamental concepts in signals and systems.
This document contains a test file for drawing pictures to illustrate various mathematical concepts using the mfpic4ode package. It includes sections on logistic equations with and without harvesting, numerical methods for solving ODEs, autonomous systems, and a predator-prey system with a Holling type II response function. Each section contains mathematical equations and descriptions of the phase portraits or solution curves to be drawn.
This document contains examples demonstrating the use of the mfpic4ode package for drawing mathematical figures in LaTeX. It includes phase portraits of logistic equations with and without harvesting, solutions to ODEs using different numerical methods, and phase portraits of autonomous systems and predator-prey systems.
This document contains examples demonstrating the use of the mfpic4ode package for drawing pictures related to ordinary differential equations. It includes phase portraits of logistic equations with and without harvesting, solutions to an ODE using Euler, Runge-Kutta and fourth-order Runge-Kutta numerical methods, a phase portrait of an autonomous system showing nullclines and trajectories, and a predator-prey system with a Holling type II response function.
This document contains information about data structures and algorithms taught at KTH Royal Institute of Technology. It includes code templates for a contest, descriptions and implementations of common data structures like an order statistic tree and hash map, as well as summaries of mathematical and algorithmic concepts like trigonometry, probability theory, and Markov chains.
The document discusses the response of first and second order systems. It defines poles and zeros as values that make the transfer function infinite or zero. For first order systems, it describes the transient response as gradual change from initial to final output. The time constant determines how quickly the system responds. For second order systems, the natural frequency and damping ratio characterize the response. Underdamped systems oscillate with declining amplitude, with specifications like rise time and settling time defined.
Robust Repositioning in Large-scale NetworksAlan Erera
This document discusses robust optimization models for empty trailer repositioning in large-scale freight consolidation networks. It presents a two-stage robust optimization model that minimizes costs of planned trailer movements while ensuring the existence of feasible recovery movements for uncertain future demand scenarios. The model considers recovery flows and bounds the vulnerability of subsets of nodes to address future feasibility. Challenges include controlling model conservatism and appropriately applying the two-stage model in large, dynamic networks with rolling horizons.
In topological inference, the goal is to extract information about a shape, given only a sample of points from it. There are many approaches to this problem, but the one we focus on is persistent homology. We get a view of the data at different scales by imagining the points are balls and consider different radii. The shape information we want comes in the form of a persistence diagram, which describes the components, cycles, bubbles, etc in the space that persist over a range of different scales.
To actually compute a persistence diagram in the geometric setting, previous work required complexes of size n^O(d). We reduce this complexity to O(n) (hiding some large constants depending on d) by using ideas from mesh generation.
This talk will not assume any knowledge of topology. This is joint work with Gary Miller, Benoit Hudson, and Steve Oudot.
This document lists various trigonometric identities including:
1) Definitions of trig functions like sine, cosine, tangent, cotangent, secant, and cosecant
2) Identities involving negative angles
3) Sum and difference identities for trig functions of summed or subtracted angles
4) Double angle and half angle identities
5) Product-to-sum and sum-to-product identities
6) Pythagorean identities relating trig functions to their squares
1. Rao-Blackwellisation can be applied to any Hastings-Metropolis algorithm to produce a more efficient Markov chain Monte Carlo (MCMC) method.
2. It works by breaking the state space into two components and analytically integrating over one of the components to reduce variance.
3. This approach takes advantage of parallel computing capabilities like GPUs in a basic way.
1. Rao-Blackwellisation can be applied to any Hastings-Metropolis algorithm to produce a more efficient Markov chain Monte Carlo (MCMC) method.
2. It works by breaking the state space into two components and analytically integrating over one of the components to reduce variance.
3. This approach takes advantage of parallel computing capabilities like GPUs in a basic way.
Dsp U Lec06 The Z Transform And Its Applicationtaha25
This document discusses the Z-transform and its application in digital signal processing. It covers topics such as:
1) Defining the Z-transform and how it can characterize linear time-invariant (LTI) systems.
2) Properties of LTI systems in the Z-domain, including causal and stable systems.
3) How the frequency response of a system can be obtained from its Z-transform.
4) Methods for finding the inverse Z-transform, including power series and partial fraction expansion.
5) Examples of using these techniques to analyze simple discrete systems.
Similar to Framework for the analysis and design of encryption strategies based on discrete-time chaotic dynamical systems (20)
The document discusses several challenges around cybersecurity and the use of artificial intelligence (AI) to address them. It identifies four key challenging points: 1) fighting misinformation about science, 2) imposing security-by-default using AI, 3) creating formal models for adversarial machine learning, and 4) safeguarding privacy with big data and AI. It argues that an integrated approach considering business, law, and technology (BLT) is needed to develop comprehensive security solutions.
Este documento trata sobre grupos, anillos y cuerpos finitos. Introduce conceptos básicos como grupos abelianos, subgrupos y grupos cíclicos. Luego explica propiedades de anillos como isomorfismos, anillos de polinomios, extensiones algebraicas y cuerpos de descomposición. Finalmente, cubre temas relacionados con cuerpos finitos como caracteres de grupos, extensiones normales y la construcción de un cuerpo finito de 16 elementos.
Fundamentos del criptoanálisis diferencialdarg0001
El documento describe el algoritmo de cifrado DES y los fundamentos del criptoanálisis diferencial. DES es un cifrado simétrico por bloques que utiliza 16 rondas de una función de confusión y difusión (F) que opera sobre subclaves generadas a partir de una clave maestra. El criptoanálisis diferencial analiza cómo se propagan las diferencias entre pares de textos claros a través de las rondas F para deducir información sobre las subclaves.
The document provides a curriculum vitae for David Arroyo Guardeño, including his educational background in telecommunications engineering and physics of complex systems, work experience studying chaos-based cryptosystems and nonlinear ultrasonic devices, and record of publications in international journals and conferences on topics related to chaos theory, cryptography, and image processing.
The document provides an introduction to applied symbolic dynamics of unimodal maps. It discusses patterns, maximal shift sequences (MSS), and Gray codes. For patterns, it defines order and legal inverse paths. For MSS, it discusses observations and theorems about sequences generated by unimodal maps. It then introduces Gray ordering numbers (GON) and their application to visualize sequences generated by maps like the logistic map and Mandelbrot map.
Este documento describe dos métodos para la identificación del canal de comunicación: el algoritmo LMS y el algoritmo DBD. El algoritmo LMS usa codificación caótica de señales de voz para mejorar su rendimiento en la identificación del canal. El algoritmo DBD permite identificar el canal sin conocer la señal original, realizando una identificación "ciega". El documento también introduce filtros de Wiener y analiza la formulación y convergencia del algoritmo LMS.
Este documento describe el análisis tiempo-frecuencia de secuencias caóticas mediante wavelets. Introduce conceptos como wavelets analíticas, resolución tiempo-frecuencia, escalogramas y crestas wavelet. Explica cómo las crestas wavelets pueden usarse para detectar comportamiento caótico en una secuencia. También resume propuestas para usar la transformada wavelet para analizar la entropía de sistemas, incluyendo entropía multiresolución y entropía multiresolución continua.
Este documento describe estrategias para transmitir información utilizando secuencias caóticas y redes neuronales. Primero, explica cómo las redes neuronales pueden codificar y decodificar secuencias caóticas que contienen información oculta. Luego, propone un sistema de comunicación que asigna diferentes secuencias caóticas a cada símbolo de información. Finalmente, presenta simulaciones que comparan los diferentes esquemas de codificación-decodificación en un canal con ruido.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
5. ENCRYPTION
T=R T=Z
Chaos in Chaos in Chaos in
continuous time continuous time discrete time
6. ENCRYPTION
T=R T=Z
Chaos in Chaos in Chaos in
continuous time continuous time discrete time
Synchronization
7. ENCRYPTION
T=R T=Z
Chaos in Chaos in Chaos in
continuous time continuous time discrete time
Synchronization
Security problems
8. ENCRYPTION
T=R T=Z
Chaos in Chaos in Chaos in
continuous time continuous time discrete time
Synchronization Differential
Equations
Security problems
9. ENCRYPTION
T=R T=Z
Chaos in Chaos in Chaos in
continuous time continuous time discrete time
Synchronization Differential
Equations
Security problems Dimension > 2
10. ENCRYPTION
T=R T=Z
Chaos in Chaos in Chaos in
continuous time continuous time discrete time
Synchronization Differential
Equations
Security problems Dimension > 2
Efficiency problems
11. ENCRYPTION
T=R T=Z
Chaos in Chaos in Chaos in
continuous time continuous time discrete time
Synchronization Differential
Equations
Security problems Dimension > 2
Efficiency problems
12. How to design
secure digital
chaos-based cryptosystems
13. Avoid critical contexts
Conventional cryptography Chaos theory
Standards Loss of chaoticity
Commitments Reconstruction of the
underlying dynamics
Conventional attacks
14. Avoid critical contexts
Conventional cryptography Chaos theory
Standards Loss of chaoticity
Commitments Reconstruction of the
underlying dynamics
Conventional attacks
23. Estimation of λ and/or x0 after applying
conventional attacks
1 Access to chaotic orbits
2 We can measure the entropy of the
underlying chaotic map
3 Access to samples of chaotic orbits
4 Access to coarse-grained versions of
chaotic orbits
24. xi+1
xi+1 = f (xi )
Orbit : {x0, x1, . . .}
f (a) = f (b), f (xc ) ≤ b
xc = Single turning point
f continuous in [a, b]
xi
a xc b
26. xi /λ 0 < xi < λ
Skew tent map: xi+1 =
(1 − xi )/(1 − λ ) λ ≥ xi < 1
xi+1
λ
xi
0 1
27. Access to chaotic orbits
Ciphertext is a function of a chaotic orbit
28. Access to chaotic orbits
Ciphertext is a function of a chaotic orbit
Only the chaotic orbit is secret
29. Access to chaotic orbits
Ciphertext is a function of a chaotic orbit
Only the chaotic orbit is secret
Kerckhoff’s principle:
we know the function and
xn+1 = f (λ , xn ), xn ∈ Rm
30. Access to chaotic orbits
Ciphertext is a function of a chaotic orbit
Only the chaotic orbit is secret
Kerckhoff’s principle:
we know the function and
xn+1 = f (λ , xn ), xn ∈ Rm
Estimation of λ from m + 1 units of ciphertext
31. B. Ling et al.,
“Chaotic filter bank for computer
cryptography,” Chaos, Solitons
and Fractals, 2007, 34, 817-824
32. Plaintext: {pn }
tn = K ∑ pj h2n−j
∀j
tn = K ∑ pj h2n−j
∀j
vn = tn + tn + sn
vn = tn − vn − sn
33. Plaintext: {pn }
tn = K ∑ pj h2n−j
∀j
tn = K ∑ pj h2n−j
∀j
vn = tn + tn + sn
Logistic map
vn = tn − vn − sn
35. Known-plaintext attack: {pn }, {vn }, {vn }
sn = vn − tn − tn
sn = tn − vn − vn
sn+1
λ=
sn (1 − sn )
sn+1
λ =
sn (1 − sn )
36. David Arroyo et al., “Cryptanalysis
of a computer cryptography scheme
based on a filter bank,” Chaos, Soli-
tons and Fractals, 2009, 41, 410-413
37. Entropy of the underlying chaotic map
Why? How? Design Rules
Critical
1 2 3
contexts
38. Entropy
Orbit ⇒ Probability distribution
Discretization of Discretization in the
the phase space frequency domain
Relative number of Relative energy of
values in subintervals resolution levels
39. n-gram conditional entropy
Split the phase space into J disjoint intervals
Convert chaotic orbits into sequences of symbols
Group the symbols into words of length n
(n)
pri : probability of i-th word, 0 ≤ i ≤ J n
n (n) (n)
Hn = − ∑J pri
i=1 log pri
hn = Hn+1 − Hn , h0 = H1
45. Shape of histograms
of chaotic orbits
depending on λ
Sampling on chaotic orbits
Estimation of λ
46. A.N. Pisarchik et al. “Encryp-
tion and decryption of images
with chaotic map lattices,” Chaos,
2006, 16, Art. No. 033118
47. λ2
Logistic map, xmin = 4 (1 − 4 ),
λ
xmax = λ , plaintext {pi }J
4 i=1
r = 1, yi0 = {pi }
yJ −1 if i = 1
r
x0 =
yir i.o.c
Iterate n times the logistic map from x0 to get xn
yir = xn + yir −1 and subtract xmax − xmin until yir ∈ [xmin , xmax ]
48. yJ −1 if i = 1
r
x0 =
yir i.o.c
Iterate n times the logistic map from x0 to get xn
yir = xn + yir −1 and subtract xmax − xmin until yir ∈ [xmin , xmax ]
r = r +1
r <R
72. f (2)(x) 0 0 0 011 110 101
001 010 111 100
xc
x
a xc b
73. X. Wang et al.,
“A new chaotic cryptography based
on ergodicity,” International Journal of
Modern Physics B, 2008, 22, 901-908
74. Logistic map: x0 and λ secret key
pi is a word with w bits
Ciphertext: number of
iterations to find pi in the
binary sequence generated
from the logistic map
83. Binary sequence of length N
Sliding window of length M and compute GON
Estimation of λ through a binary search from the maximum GON
ˆ ˆ
GONM (λ , λ ) = GONmax
4
Estimation of x0 using the estimation of λ and the binary sequence
84. Chosen-ciphertext attack
Ask for the decryption of w · i
0 returns the first w bits,
w the following w bits, . . .
GM (x0, λ ) ⇒ λ , x0
85. Parameter estimation error
−4
c estimation error (Logarithmic scale) 10
−6
10
−8
10
−10
10
−12
10
0 2 4 6 8 10
M 5
x 10
86. Error in the estimation of the initial
condition
0
10
x0 estimation error (Logarithmic scale)
−5
10
−10
10
−15
10
−20
10
10 20 30 40 50 60
N
87. David Arroyo et al.,
“Cryptanalysis of a new chaotic
cryptosystem based on ergodicity,”
International Journal of Modern
Physics B, 2009, 23, 651-659
89. Previous attack only works if
GONM (λ , fλ (xc ))
depends on
on the control parameter
90. Is the cryptosystem secure
if the logistic map
is replaced by
the skew tent map?
91. David Arroyo et al., “Estimation
of the control parameter from
symbolic sequences: Unimodal
maps with variable critical point,”
Chaos, 2009, 19, Art. No. 023125
92. λ can be estimated
from the PDF of
order patterns
93. xi+i = f (xi )
[x0, x1, x2, . . . , xL−1]
π(x0) = [π0, π1, . . . , πL−1]
πi permutation |πi → i
f π0 (x0) < f π1 (x0) < · · · < f πL−1 (x0)
94. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
95. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225,
96. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225,
97. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225, 0.6245
98. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225, 0.6245
99. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225, 0.6245, 0.751,
100. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225, 0.6245, 0.751,
101. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225, 0.6245, 0.751, 0.498]
102. 2xi , 0 < xi < 0.5
f : [0, 1] → [0, 1], xi+1 = f (xi ) =
2(1 − xi ), 0.5 ≥ xi < 1
xi+1
xi
0 1
[0.31225, 0.6245, 0.751, 0.498] ⇒ π(0.31225) = [0, 3, 1, 2]
103. The intersections between
f 0(x), f 1(x), . . . , f L−1(x)
determine intervals
with initial conditions
leading to the same order pattern
120. Digital chaos-based cryptosystem
Chaotic map Encryption architecture
Loss of chaoticity
Stream cipher Block cipher
Bijections in entropy measures
Linear complexity Differential attack
Leaking of the underlying order
Correlation attacks Linear attacks
Defective probability distribution
... ...
121. Design rules I
1 Assure the chaotic behavior of the
underlying dynamical systems
2 Guarantee avalanche effect
3 High level of entropy without leaking of
the values of control parameters
4 Definition of the ciphertext avoiding the
reconstruction of the underlying chaotic
dynamics
122. Design rules II
5 Chaotic maps with flat histograms and
width of the phase space independent of
the control parameters
6 Selection of chaotic maps with high
sensitivity to control parameter mismatch
7 The number of iterations of chaotic maps
can not be part of the key
123. Control parameter a=3.8204607418 Control parameter a=3.8294707872
150 150
j=1
j=2
Time in seconds
Time in seconds
100 j=3 100
50 50
0 0
0 50 100 0 50 100
n×j n×j
Control parameter a=3.8743936381 Control parameter a=3.9771765651
150 150
Time in seconds
Time in seconds
100 100
50 50
0 0
0 50 100 0 50 100
n×j n×j
124. David Arroyo et al.,
“On the security of a new image
encryption scheme based on
chaotic map lattices,” Chaos,
2008, 18, Art. No. 033112
125. Chaos-based
5
cryptography
SCI
Unimodal
7
maps
International 8
CONFERENCES
National 8
130. Framework for the analysis and design
of encryption strategies
based on discrete-time
chaotic dynamical systems
david.arroyo@iec.csic.es
http://hdl.handle.net/10261/15668