The GIAC Certified Detection Analyst (GCDA) is an industry certification that proves an individual knows how to collect, analyze, and tactically use modern network and endpoint data sources to detect malicious or unauthorized activity. This certification shows individuals not only know how to wield tools such as Security Information and Event Management (SIEM) but that they know how to use tools to turn attacker strengths into attacker weaknesses.
Gate mathematics chapter wise all gate questions of all branchdataniyaarunkumar
This document contains sample questions from previous GATE exams in various engineering branches related to matrices and linear algebra. It provides the questions, answers, and brief explanations or working. The author is S K Mondal, an IES officer and experienced educator, who compiled these questions to help students prepare for the GATE exam. Readers are invited to point out any errors in the material.
This document summarizes camera calibration methods. It begins by introducing the pinhole camera model and describing its four step process: from world to camera coordinates, projection to the image plane, modeling lens distortion, and conversion to image coordinates. It then overviews several calibration methods, including the method of Hall which uses a linear transformation matrix, and the method of Faugeras-Toscani which obtains camera parameters through an iterative process accounting for radial distortion. The document focuses on explaining the method of Hall in detail, showing how its modeling leads to equations that can be solved using a pseudoinverse to obtain the camera calibration parameters.
This document provides an overview of using the WebLogic Scripting Tool (WLST) for WebLogic administration and deployment tasks. It discusses using WLST in an infrastructure as code approach to automate the creation, configuration, and management of WebLogic domains and applications. Specific topics covered include using WLST to create and extend domains, deploy applications, configure logging and data sources, monitor servers, and perform other administrative operations. Best practices for structuring and modularizing WLST scripts are also presented. The document emphasizes that WLST enables complete automation of common WebLogic administration tasks.
(1) Jacobson's theorem states that if a division ring D satisfies the property that for every element a in D there exists an integer n(a)>1 such that an(a)=a, then D is a commutative field.
(2) The proof proceeds by showing that if a division ring D satisfies the given property, then D has characteristic p for some prime p. This implies D contains a subring W which is a finite field.
(3) It is then shown that if a,b are elements of D, they must also be elements of the subfield W. But W is a commutative field, so a and b must commute. This is a contradiction unless D=W,
The GIAC Certified Detection Analyst (GCDA) is an industry certification that proves an individual knows how to collect, analyze, and tactically use modern network and endpoint data sources to detect malicious or unauthorized activity. This certification shows individuals not only know how to wield tools such as Security Information and Event Management (SIEM) but that they know how to use tools to turn attacker strengths into attacker weaknesses.
Gate mathematics chapter wise all gate questions of all branchdataniyaarunkumar
This document contains sample questions from previous GATE exams in various engineering branches related to matrices and linear algebra. It provides the questions, answers, and brief explanations or working. The author is S K Mondal, an IES officer and experienced educator, who compiled these questions to help students prepare for the GATE exam. Readers are invited to point out any errors in the material.
This document summarizes camera calibration methods. It begins by introducing the pinhole camera model and describing its four step process: from world to camera coordinates, projection to the image plane, modeling lens distortion, and conversion to image coordinates. It then overviews several calibration methods, including the method of Hall which uses a linear transformation matrix, and the method of Faugeras-Toscani which obtains camera parameters through an iterative process accounting for radial distortion. The document focuses on explaining the method of Hall in detail, showing how its modeling leads to equations that can be solved using a pseudoinverse to obtain the camera calibration parameters.
This document provides an overview of using the WebLogic Scripting Tool (WLST) for WebLogic administration and deployment tasks. It discusses using WLST in an infrastructure as code approach to automate the creation, configuration, and management of WebLogic domains and applications. Specific topics covered include using WLST to create and extend domains, deploy applications, configure logging and data sources, monitor servers, and perform other administrative operations. Best practices for structuring and modularizing WLST scripts are also presented. The document emphasizes that WLST enables complete automation of common WebLogic administration tasks.
(1) Jacobson's theorem states that if a division ring D satisfies the property that for every element a in D there exists an integer n(a)>1 such that an(a)=a, then D is a commutative field.
(2) The proof proceeds by showing that if a division ring D satisfies the given property, then D has characteristic p for some prime p. This implies D contains a subring W which is a finite field.
(3) It is then shown that if a,b are elements of D, they must also be elements of the subfield W. But W is a commutative field, so a and b must commute. This is a contradiction unless D=W,
The document discusses Kalman filters and their applications in tracking and data prediction. It provides an overview of the basic Kalman filter, which works optimally for linear models. It then describes the extended Kalman filter (EKF) which uses Taylor series linearization to apply the Kalman filter to nonlinear systems. Finally, it introduces the unscented Kalman filter (UKF) which uses the unscented transform for better linearization compared to the EKF when nonlinearities are large.
The document discusses various debugging techniques for the Linux kernel including printk, gdb, kgdb, QEMU, and kdump. It provides an overview of how to use each technique including setting up a serial console with printk, remotely debugging with gdb and kgdb, adding debugging modules to QEMU, and using kdump to collect crash dumps. The document emphasizes that printk is simple but limited while gdb and QEMU provide more advanced debugging capabilities and recommends selecting a technique based on the specific debugging needs.
0x01 - Breaking into Linux VMs for Fun and ProfitRussell Sanford
This presentation focuses on an attack technique I developed to utilize OS debugging functionality provided by VMWare to compromise Linux Virtual Machines
Talk for USENIX LISA17: "Containers pose interesting challenges for performance monitoring and analysis, requiring new analysis methodologies and tooling. Resource-oriented analysis, as is common with systems performance tools and GUIs, must now account for both hardware limits and soft limits, as implemented using cgroups. A reverse diagnosis methodology can be applied to identify whether a container is resource constrained, and by which hard or soft resource. The interaction between the host and containers can also be examined, and noisy neighbors identified or exonerated. Performance tooling can need special usage or workarounds to function properly from within a container or on the host, to deal with different privilege levels and name spaces. At Netflix, we're using containers for some microservices, and care very much about analyzing and tuning our containers to be as fast and efficient as possible. This talk will show you how to identify bottlenecks in the host or container configuration, in the applications by profiling in a container environment, and how to dig deeper into kernel and container internals."
1. The document discusses debugging Go applications running on Kubernetes.
2. It presents different approaches for debugging including running the debugger fully locally, fully remotely in Kubernetes, or using Telepresence to debug locally while the application runs in Kubernetes.
3. Examples are given for building debug Docker images, deploying them to Kubernetes, and using tools like Delve and Telepresence for interactive debugging.
This document summarizes key concepts in diffusion models and their applications in generative AI systems. It discusses early diffusion models from Sohl-Dickstein and later improvements from DDPM. It also covers recent large diffusion models like GLIDE and DALL-E 2 that can generate images from text prompts. The document provides technical details on diffusion processes, loss functions, and model architectures.
Advanced debugging techniques in different environmentsAndrii Soldatenko
This document discusses advanced debugging techniques in different environments. It begins with an introduction to debugging Go programs using Delve and GDB debuggers. It then covers setting breakpoints and conditional breakpoints, calling functions, and debugging unit tests using Delve. It also discusses remote debugging of containerized Go applications with Delve. Some key challenges of using GDB with Go are mentioned. Finally, it promotes the author's Telegram channel for future Golang learning resources.
Micronaut provides out-of-the-box integrations with a lot of tools and third-party libraries: Consul, Eureka, Hibernate, Kafka, Mongo, Micrometer, Zipkin, Hystrix, Swagger,... But sometimes this is not enough and you need to integrate with a new one.
In this talk, we will discuss the different options that we have to create a new configuration for Micronaut: bean factories, conditional beans, configuration properties,... and you will learn how to make the most out of it.
Multi Object Filtering Multi Target TrackingEngin Gul
This document provides an overview of multi object filtering and multi target tracking. It discusses how multi object filtering algorithms can be used to estimate the number and states of multiple targets from sensor measurements over time, accounting for uncertainties from detection failures, false alarms, and targets appearing and disappearing. The document outlines the Bayesian filtering framework and how the Kalman filter provides an optimal solution for linear Gaussian systems, while particle filters can be used for nonlinear/non-Gaussian problems.
The document discusses the extended Kalman filter (EKF), which extends the standard Kalman filter to nonlinear systems through linearization. The EKF linearizes the system equations at each time step by taking the derivative of the nonlinear functions around the current state estimate. This results in an approximate linear system that can then be processed using the standard Kalman filter equations. The key steps of the EKF algorithm are to 1) compute the linearized system matrices using derivatives, 2) use these in a first-order Taylor approximation to linearize the system equations, and 3) apply the standard Kalman filter equations to this approximate linear system to recursively estimate the state.
List of Jargons used in Java EE is Endless - JPA, JDBC, ORM, JNDI, EJB, JTA, DTO, VO, JAXB, JAX-RS, JAX-WS, AOP, Dependency Injection, Model 1 Architecture, Model 2 Architecture, Front Controller, Composite View, Intercepting Filter, Facade, Service Locator to name a few.
For a beginner, Java EE can be overwhelming. Objective of the course is to give a Big Picture of the Java EE. You will understand the Jargon, Specifications, Patterns used in Java EE. You will understand the basic architecture of a Java EE Application.
You will understand the evolution of Java EE Application Architecture:
Model 1 Architecture
Model 2 or MVC Architecture
Modified MVC Architecture using Front Controller
You will get an overview of Patterns used in the Java EE World - Grouped by the layer they are used in:
Front Controller
View Helper
Composite View
Context Object
Intercepting Filter
Domain Model
Facade
DTO/VO
DAO - Data Access Object
Service Activator
You will also be introduced to terminologies like JPA, JDBC, ORM, JNDI, EJB, JTA, DTO, VO, JAXB, JAX-RS, JAX-WS, AOP and Dependency Injection.
Get ready for a Roller Coaster Ride with Java EE.
The "n" in the PrintCompilation output indicates that the method was not compiled, but is on deck to be compiled. So in this case, java.lang.Object::hashCode was not yet compiled, but is a candidate for compilation if/when it is called more.
The document discusses just-in-time (JIT) compilers in the Java Virtual Machine (JVM). It describes how JIT compilers work by compiling bytecode to native machine code during execution based on profiling information. This allows for optimizations like inlining, devirtualization, loop unrolling and eliding unnecessary synchronization that improve performance. The JIT compiler uses feedback from profiling to enable more aggressive optimizations like these.
Este documento presenta una serie de ejercicios sobre números enteros para estudiantes de segundo año de la educación secundaria obligatoria. Incluye ejercicios para practicar conceptos como la representación de números enteros en la recta numérica, el cálculo de sumas, restas, opuestos y valores absolutos de enteros, y operaciones encadenadas con enteros. El documento proporciona las definiciones y ejemplos necesarios para que los estudiantes puedan resolver los ejercicios de forma autónoma.
Coroutines allow writing asynchronous code in a sequential manner by suspending execution until an asynchronous operation completes. The document discusses how coroutines can be used to simplify asynchronous code for an order processing use case that involves retrieving user, address, product, and store data from repositories. It shows how coroutines eliminate nested subscriptions by suspending until asynchronous operations like retrieving a user or address complete before continuing execution sequentially. The Kotlin compiler converts coroutine code into recursive functions implementing a finite state machine to simulate sequential execution across asynchronous operations.
This document discusses frequency domain analysis and creating Bode plots. Frequency domain analysis examines a system's frequency response by using sinusoidal inputs rather than impulse inputs used in time domain analysis. A Bode plot graphs the magnitude and phase of a system's frequency response on logarithmic and linear scales. It can be used to determine stability margins like gain margin and phase margin. The document provides steps for sketching a Bode plot from a transfer function including identifying poles, zeros and gain. Key aspects of a Bode plot like bandwidth, resonant frequency and cut-off frequency are also defined. Examples of Bode plots for two transfer functions are included.
This document discusses control systems and Bode diagrams. It includes:
1. An outline of the document with sections on frequency response and an introduction to Bode diagrams.
2. Descriptions of how frequency response is used to analyze systems and determine stability. It also describes how sinusoidal inputs produce harmonic outputs.
3. An introduction to Bode diagrams including how they were developed and that they consist of magnitude and phase plots versus log frequency. Bode diagrams provide a standard way to represent frequency response.
The document discusses Kalman filters and their applications in tracking and data prediction. It provides an overview of the basic Kalman filter, which works optimally for linear models. It then describes the extended Kalman filter (EKF) which uses Taylor series linearization to apply the Kalman filter to nonlinear systems. Finally, it introduces the unscented Kalman filter (UKF) which uses the unscented transform for better linearization compared to the EKF when nonlinearities are large.
The document discusses various debugging techniques for the Linux kernel including printk, gdb, kgdb, QEMU, and kdump. It provides an overview of how to use each technique including setting up a serial console with printk, remotely debugging with gdb and kgdb, adding debugging modules to QEMU, and using kdump to collect crash dumps. The document emphasizes that printk is simple but limited while gdb and QEMU provide more advanced debugging capabilities and recommends selecting a technique based on the specific debugging needs.
0x01 - Breaking into Linux VMs for Fun and ProfitRussell Sanford
This presentation focuses on an attack technique I developed to utilize OS debugging functionality provided by VMWare to compromise Linux Virtual Machines
Talk for USENIX LISA17: "Containers pose interesting challenges for performance monitoring and analysis, requiring new analysis methodologies and tooling. Resource-oriented analysis, as is common with systems performance tools and GUIs, must now account for both hardware limits and soft limits, as implemented using cgroups. A reverse diagnosis methodology can be applied to identify whether a container is resource constrained, and by which hard or soft resource. The interaction between the host and containers can also be examined, and noisy neighbors identified or exonerated. Performance tooling can need special usage or workarounds to function properly from within a container or on the host, to deal with different privilege levels and name spaces. At Netflix, we're using containers for some microservices, and care very much about analyzing and tuning our containers to be as fast and efficient as possible. This talk will show you how to identify bottlenecks in the host or container configuration, in the applications by profiling in a container environment, and how to dig deeper into kernel and container internals."
1. The document discusses debugging Go applications running on Kubernetes.
2. It presents different approaches for debugging including running the debugger fully locally, fully remotely in Kubernetes, or using Telepresence to debug locally while the application runs in Kubernetes.
3. Examples are given for building debug Docker images, deploying them to Kubernetes, and using tools like Delve and Telepresence for interactive debugging.
This document summarizes key concepts in diffusion models and their applications in generative AI systems. It discusses early diffusion models from Sohl-Dickstein and later improvements from DDPM. It also covers recent large diffusion models like GLIDE and DALL-E 2 that can generate images from text prompts. The document provides technical details on diffusion processes, loss functions, and model architectures.
Advanced debugging techniques in different environmentsAndrii Soldatenko
This document discusses advanced debugging techniques in different environments. It begins with an introduction to debugging Go programs using Delve and GDB debuggers. It then covers setting breakpoints and conditional breakpoints, calling functions, and debugging unit tests using Delve. It also discusses remote debugging of containerized Go applications with Delve. Some key challenges of using GDB with Go are mentioned. Finally, it promotes the author's Telegram channel for future Golang learning resources.
Micronaut provides out-of-the-box integrations with a lot of tools and third-party libraries: Consul, Eureka, Hibernate, Kafka, Mongo, Micrometer, Zipkin, Hystrix, Swagger,... But sometimes this is not enough and you need to integrate with a new one.
In this talk, we will discuss the different options that we have to create a new configuration for Micronaut: bean factories, conditional beans, configuration properties,... and you will learn how to make the most out of it.
Multi Object Filtering Multi Target TrackingEngin Gul
This document provides an overview of multi object filtering and multi target tracking. It discusses how multi object filtering algorithms can be used to estimate the number and states of multiple targets from sensor measurements over time, accounting for uncertainties from detection failures, false alarms, and targets appearing and disappearing. The document outlines the Bayesian filtering framework and how the Kalman filter provides an optimal solution for linear Gaussian systems, while particle filters can be used for nonlinear/non-Gaussian problems.
The document discusses the extended Kalman filter (EKF), which extends the standard Kalman filter to nonlinear systems through linearization. The EKF linearizes the system equations at each time step by taking the derivative of the nonlinear functions around the current state estimate. This results in an approximate linear system that can then be processed using the standard Kalman filter equations. The key steps of the EKF algorithm are to 1) compute the linearized system matrices using derivatives, 2) use these in a first-order Taylor approximation to linearize the system equations, and 3) apply the standard Kalman filter equations to this approximate linear system to recursively estimate the state.
List of Jargons used in Java EE is Endless - JPA, JDBC, ORM, JNDI, EJB, JTA, DTO, VO, JAXB, JAX-RS, JAX-WS, AOP, Dependency Injection, Model 1 Architecture, Model 2 Architecture, Front Controller, Composite View, Intercepting Filter, Facade, Service Locator to name a few.
For a beginner, Java EE can be overwhelming. Objective of the course is to give a Big Picture of the Java EE. You will understand the Jargon, Specifications, Patterns used in Java EE. You will understand the basic architecture of a Java EE Application.
You will understand the evolution of Java EE Application Architecture:
Model 1 Architecture
Model 2 or MVC Architecture
Modified MVC Architecture using Front Controller
You will get an overview of Patterns used in the Java EE World - Grouped by the layer they are used in:
Front Controller
View Helper
Composite View
Context Object
Intercepting Filter
Domain Model
Facade
DTO/VO
DAO - Data Access Object
Service Activator
You will also be introduced to terminologies like JPA, JDBC, ORM, JNDI, EJB, JTA, DTO, VO, JAXB, JAX-RS, JAX-WS, AOP and Dependency Injection.
Get ready for a Roller Coaster Ride with Java EE.
The "n" in the PrintCompilation output indicates that the method was not compiled, but is on deck to be compiled. So in this case, java.lang.Object::hashCode was not yet compiled, but is a candidate for compilation if/when it is called more.
The document discusses just-in-time (JIT) compilers in the Java Virtual Machine (JVM). It describes how JIT compilers work by compiling bytecode to native machine code during execution based on profiling information. This allows for optimizations like inlining, devirtualization, loop unrolling and eliding unnecessary synchronization that improve performance. The JIT compiler uses feedback from profiling to enable more aggressive optimizations like these.
Este documento presenta una serie de ejercicios sobre números enteros para estudiantes de segundo año de la educación secundaria obligatoria. Incluye ejercicios para practicar conceptos como la representación de números enteros en la recta numérica, el cálculo de sumas, restas, opuestos y valores absolutos de enteros, y operaciones encadenadas con enteros. El documento proporciona las definiciones y ejemplos necesarios para que los estudiantes puedan resolver los ejercicios de forma autónoma.
Coroutines allow writing asynchronous code in a sequential manner by suspending execution until an asynchronous operation completes. The document discusses how coroutines can be used to simplify asynchronous code for an order processing use case that involves retrieving user, address, product, and store data from repositories. It shows how coroutines eliminate nested subscriptions by suspending until asynchronous operations like retrieving a user or address complete before continuing execution sequentially. The Kotlin compiler converts coroutine code into recursive functions implementing a finite state machine to simulate sequential execution across asynchronous operations.
This document discusses frequency domain analysis and creating Bode plots. Frequency domain analysis examines a system's frequency response by using sinusoidal inputs rather than impulse inputs used in time domain analysis. A Bode plot graphs the magnitude and phase of a system's frequency response on logarithmic and linear scales. It can be used to determine stability margins like gain margin and phase margin. The document provides steps for sketching a Bode plot from a transfer function including identifying poles, zeros and gain. Key aspects of a Bode plot like bandwidth, resonant frequency and cut-off frequency are also defined. Examples of Bode plots for two transfer functions are included.
This document discusses control systems and Bode diagrams. It includes:
1. An outline of the document with sections on frequency response and an introduction to Bode diagrams.
2. Descriptions of how frequency response is used to analyze systems and determine stability. It also describes how sinusoidal inputs produce harmonic outputs.
3. An introduction to Bode diagrams including how they were developed and that they consist of magnitude and phase plots versus log frequency. Bode diagrams provide a standard way to represent frequency response.
The document discusses Bode plots, which are frequency domain techniques used to analyze linear time-invariant systems. It covers poles and zeros, transfer functions, the S-plane, mechanics for constructing Bode plots, examples of plotting Bode plots by hand and using MATLAB, and designing a system to meet a target Bode plot specification. Key steps include identifying poles and zeros, approximating plots between break frequencies, and using MATLAB tools like Bode and Simulink to validate designs.
The document discusses frequency domain analysis using Bode plots. It covers topics such as the frequency response of linear systems, construction of Bode plots, and how different system elements like gains, poles, and zeros affect the Bode plot. Specifically, it describes how integral and derivative terms result in slopes of ±20dB/decade on the magnitude plot and ±90° on the phase plot. First-order factors produce asymptotes with corner frequencies and phase shifts from 0° to -90°.
The document lists sale prices and details for various electronics appliances, including TVs, refrigerators, dishwashers, and washers/dryers from brands like LG, Samsung, Whirlpool and Amana. Many items are on sale for pre-Black Friday with prices reduced by $100s and some eligible for 0% interest financing for up to 48 months. The store is located in Victorville, California and is open Monday-Saturday 9am-7pm and Sunday 10am-5pm.
M/S.Kuldeep Metal & Engineering Company is a metal engineering company located in India that can be contacted via email at Kuldeep.metalengg@gmail.com or by phone at 09099287475. The document provides contact information for M/S.Kuldeep Metal & Engineering Company, including their email address and phone number.
The Expedition Package...take a walk on the wild sideCharlotte Chapman
This document provides information about various recruitment services offered by Discover Retail. It describes several packages with different features and prices, including: the Expedition package which provides expert writing and placement of job ads across sites; the Cheetah package which provides fast access to over 11 million candidates; and full store recruitment which recruits an entire staff for one fixed price. It emphasizes flexibility, a personal relationship, and only charging when candidates are placed. The overall document is aimed at promoting Discover Retail's recruitment services for filling various types of vacancies.
1. This document provides 10 math problems involving derivatives.
2. For each problem, the derivative of the given function y is calculated using differentiation rules such as the product rule, quotient rule, and chain rule.
3. The derivatives are expressed in terms of simpler functions like trigonometric, exponential, logarithmic and algebraic functions.
The document describes research on automatically identifying mental states from language text using linguistic features. It presents a machine learning technique called mindprints that uses semantic, syntactic, and valence features to identify eight mental states. The technique achieves near-human level performance on average and exceeds human performance in one case, showing the value of deeper linguistic features for mental state identification.
This document is a curriculum vitae for Abbas Salem Issa. It provides personal information such as his name, address, contact details, nationality, and marital status. It also outlines his professional experience as a Senior Electrical Engineer for Saudi Bin Ladin Group from 2009 to present working on the King Abdullah Financial District project in Riyadh, Saudi Arabia. Prior to this, he worked as an Electrical Engineer for Ahmad Badaweih Establishment in Amman, Jordan from 2007 to 2009. His education is listed as obtaining a BSc in Electrical Power Engineering from AL-Balqa'a Applied University in Jordan in 2007. Relevant training and skills are also included such as courses in home automation, BMS systems, and computer
This document discusses how wearable technology can enhance the hotel guest experience. It describes a system where guests check-in using their social media profiles linked to a smartwatch. The smartwatch allows keyless entry to their room and provides personalized recommendations and services throughout the stay. These include location-specific attractions on the TV, health and fitness advice from a smart scale, and immersive audiovisual experiences from a smart shower cap. Notifications are sent to the smartwatch upon departure to provide feedback and share the experience.
This document summarizes the journey of Marissa Cieciorka from her freshman to senior year of college as she figured out her major and career path in marketing. As a freshman, she was undecided between education and legal studies majors. In her sophomore year, a professor's advice led her to choose marketing and gain experience through the American Marketing Association student group. She gained internship experience in her junior and senior years in digital marketing, social media, and analytics. This prepared her for her post-graduation career in marketing.
The document discusses several topics related to management practices including strategic partnerships, social science findings, and models of corporate governance and business responsibilities. It outlines 10 key management practices, programs under the US-Pakistan Strategic Partnership Act, research on team performance, gun violence, and leadership. It also summarizes models of corporate governance, the roles and responsibilities of boards of directors, and theories of business ethics.
This document contains a series of calculus exercises involving limits as x approaches various values. There are 10 exercises calculating limits of functions as x approaches infinity or specified values. The functions involve polynomials, radicals, fractions, and other elementary mathematical operations. The document also contains 10 examples checking whether functions are continuous at given values by evaluating the functions and limits.
This paper describes a regulatory pathway controlling expression of Borrelia burgdorferi OspC and DbpA proteins. The study found that in B. burgdorferi strain 297, the alternative sigma factor RpoN controls expression of the alternative sigma factor RpoS. RpoS then governs expression of the outer surface lipoproteins OspC and DbpA. This regulatory network was determined through targeted gene disruption of rpoN and rpoS, followed by genetic complementation. The findings provide insight into key regulatory networks that impact B. burgdorferi pathogenesis, host range, and virulence.
El documento describe las relaciones comerciales entre los países del NAFTA (Estados Unidos, Canadá y México) desde la implementación del acuerdo en 1994. Explica que el NAFTA ha aumentado significativamente el comercio y la inversión entre los países, con México convirtiéndose en un socio comercial clave para Estados Unidos y Canadá. También destaca la cooperación regulatoria y los lazos culturales y académicos entre los socios del NAFTA.
The document is a collection of 11 photos from Flickr shared under various Creative Commons licenses. It promotes visiting gradtrain.com to learn more, but provides no other context or description for the photos or website.
This short document promotes creating presentations using Haiku Deck, a tool for making slideshows. It encourages the reader to get started making their own Haiku Deck presentation and sharing it on SlideShare. In a single sentence, it pitches presentation creation software.
The document demonstrates various operations that can be performed on vectors and data frames in R. It shows how to create, subset, reorder, and modify vectors and data frames. Key operations include subsetting vectors and data frames using indices or logical vectors, applying functions to entire vectors or selected elements, and reordering a data frame based on the values in one of its columns.
Crushing the Head of the Snake by Robert Brewer PyData SV 2014PyData
Big Data brings with it particular challenges in any language, mostly in performance. This talk will explain how to get immediate speedups in your Python code by exploiting both timeless programming techniques and fixes specific to Python. We will cover: I. Amongst Our Weaponry 1. How to Time and Profile Python 2. Extracting Loop invariants: constants, lookup tables, even methods! 3. Caching: memoization and heavier things II Gunfight at the O.K. Corral in Morse Code 1. Python functions vs C functions 2. Vector operations: NumPy 3. Reducing calls: loops, generators, recursion III. The Semaphore Version of Wuthering Heights 1. Using select instead of Queue 2. Serialization overhead 3. Parallelizing work
This document discusses retinoscopy and how to calculate prescriptions from retinoscopy findings. It provides examples of how to subtract working distances and cycloplegic drug values from retinoscopy measurements. It also gives rules for determining signs of cylinders and examples of converting retinoscopy measurements into spectacle prescriptions with spherical and cylindrical powers.
The Ring programming language version 1.3 book - Part 16 of 88Mahmoud Samir Fayed
The document provides documentation on file handling functions in Ring programming language. It describes functions for reading and writing files, getting directory listings, renaming and deleting files, opening, closing and manipulating file streams. Examples are given showing how to use functions like Read(), Write(), Dir(), Rename(), Remove(), Fopen(), Fclose(), Freopen() etc. to perform common file operations in Ring.
The Ring programming language version 1.8 book - Part 84 of 202Mahmoud Samir Fayed
This document discusses various performance tips for Ring programs:
1. Ring is designed for simplicity but can still perform many common tasks in around 1 second on modern hardware. C extensions can further improve performance.
2. Creating lists using the range operator is faster than a for loop or list() function. Using *= is faster than * for arithmetic.
3. Calling len() before a for loop is faster than within. Calling functions is slightly faster than methods, and the dot operator is faster than braces for methods.
The Ring programming language version 1.2 book - Part 14 of 84Mahmoud Samir Fayed
This document provides documentation on mathematical and file handling functions in the Ring programming language. It describes functions for trigonometric, exponential, logarithmic, power and other common mathematical operations. It also covers functions for reading, writing, opening, closing and manipulating files, including reading/writing specific characters, lines, and binary data. Examples are provided to demonstrate the usage of many of these functions.
The document contains the analysis of four control systems. For each system, it provides the transfer function, identifies the poles and zeros, expresses the system in zero-pole-gain form, and plots the step response. The poles, zeros and step responses are different for each of the four systems analyzed.
The document discusses R commands for generating sequences of numbers, including seq() and related functions. It demonstrates how to create sequences with regular increments, decreasing values, negative numbers, and non-integer increments. Examples show adding color and labels to histograms to visualize data distributions. The summary discusses measures of central tendency and spread for a sample dataset, including mean, variance, standard deviation, median, and the difference between fivenum and quantile summaries.
The document discusses R commands for generating sequences of numbers, including seq(), seq.int(), and replicate(). It provides examples of generating increasing, decreasing, and random sequences. Histograms of movie gross receipts data are created, demonstrating how to customize colors, labels, axes, and breaks. Summary statistics like mean, variance, median, and fivenum are calculated for CEO compensation data, highlighting the difference between fivenum and quantiles outputs.
The Ring programming language version 1.5.4 book - Part 25 of 185Mahmoud Samir Fayed
This document describes various file handling functions in Ring programming language including Read(), Write(), Dir(), Rename(), Remove(), Fopen(), Fclose(), Fflush(), Freopen(), Tempfile(), Tempname(), Fseek(), Ftell(), and provides examples of how to use each function to read, write, modify and get information about files. It also covers opening and closing files, seeking to different positions in a file, generating temporary file names and more.
This document summarizes the results of a study on classifying tables in HTML documents as genuine or non-genuine tables. It describes the dataset, features considered for the classification including layout, content type and word group features. It discusses various machine learning models tested - SVM, Decision Tree, Random Forest, Adaboost and Neural Networks. It provides the optimal parameters determined for each model and compares their performance on the table classification task based on accuracy, F1 score and confusion matrices.
Roll eccentricity compensation system for an aluminium rolling millIan Caister
*Redacted for security*
This report describes the design of a controller to reduce the effect of roll eccentricity on an industrial rolling mill. First the problem is investigated and the project aim is described followed by an investigation of important domain specific concepts. Next, the iterative design, simulation, implementation and successful online production testing of a roll eccentricity compensator using a frequency based approach suitable for industrial applications is described. Finally, its performance is analyzed and recommendations for future improvement are made.
A typical CD player uses both analog and digital systems. It accepts digital data from the CD drive in the form of binary numbers like 10110011101. This digital data is then converted to an analog audio signal by a digital-to-analog converter. The analog audio signal is then amplified by a linear amplifier and output as sound waves by the speaker. This allows the CD player to take advantage of storing music digitally on the CD while outputting it in an analog format that can be heard.
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2. Objectives…
• To find step ,ramp ,parabolic ,impulse
response of the given Transfer Function.
• To find R-H criteria.
• To plot Root locus, Bode plot, Nyquist,
Nichol’s chart.
4. How to find TF in MATLAB
• num=[1 110 1000]
• num =
• 1 110 1000
• >> den=[10 10 40]
• den =
• 10 10 40
• >> c=tf(num,den)
• c =
•
• s^2 + 110 s + 1000
• ---------------------------
• 10 s^2 + 10 s + 40
5. • c = s^2 + 110 s + 1000
• --------------------------
• 10 s^2 + 10 s + 40
• To find the step, impulse, ramp, parabolic response of transfer function
command used in MATLAB is..
• STEP(C)
• IMPULSE(C)
• For RAMP t=1:10
u=t
lsim(c,u,t)
For Parabolic t=1:10
u=t.^2/2
lsim(c,u,t)
6. • For Root locusrlocus(c)
• For Bode plotbode(c)
• For Nyquist plotnyquist(c)
• For Nichols chartnichols(c)
7. Step Response
Step Response
Time (seconds)
Amplitude
0 2 4 6 8 10 12
0
5
10
15
20
25
30
35
40
System: c
Peak amplitude: 36.3
Overshoot (%): 45.3
At time (seconds): 1.47
System: c
Rise time (seconds): 0.609
System: c
Settling time (seconds): 6.95
System: c
Final value: 25
8. Impulse Response
Impulse Response
Time (seconds)
Amplitude
0 2 4 6 8 10 12
-20
-10
0
10
20
30
40
System: c
Peak amplitude: 36.3
At time (seconds): 0.553
System: c
Settling time (seconds): 7.62
9. Ramp ResponseLinear Simulation Results
Time (seconds)
1 2 3 4 5 6 7 8 9 10
0
50
00
50
00
50
System: c
Peak amplitude: 247
At time (seconds): 10
11. Root Locus
Root Locus
Real Axis (seconds-1)
-120 -100 -80 -60 -40 -20 0 20
10
-8
-6
-4
-2
0
2
4
6
8
10
0.750.930.970.9850.9930.997
0.999
1
0.750.930.970.9850.9930.997
0.999
1
20406080100120
System: c
Gain: 1.15e+05
Pole: -100
Damping: 1
Overshoot (%): 0
Frequency (rad/s): 100
System: c
Gain: 221
Pole: -10
Damping: 1
Overshoot (%): 0
Frequency (rad/s): 10
System: c
Gain: 0.00129
Pole: -0.507 + 1.97i
Damping: 0.25
Overshoot (%): 44.5
Frequency (rad/s): 2.03
12. Bode Plot
Bode Diagram
Frequency (rad/s)
-20
-10
0
10
20
30
40
System: c
Peak gain (dB): 34.4
At frequency (rad/s): 1.87
Magnitude(dB)
10
-1
10
0
10
1
10
2
10
3
10
4
-180
-135
-90
-45
0
System: c
Phase Margin (deg): 64.3
Delay Margin (sec): 0.0864
At frequency (rad/s): 13
Closed loop stable? Yes
Phase(deg)
13. Nyquist Plot
Nyquist Diagram
Real Axis
-20 -10 0 10 20 30 40
-50
-40
-30
-20
-10
0
10
20
30
40
50
0 dB
-2 dB2 dB
System: c
Phase Margin (deg): 64.3
Delay Margin (sec): 0.0864
At frequency (rad/s): 13
Closed loop stable? Yes
System: c
Peak gain (dB): 34.4
Frequency (rad/s): 1.87
System: c
Real: 21.3
Imag: 48
Frequency (rad/s): -1.9
System: c
Real: 25
Imag: 0.316
Frequency (rad/s): -0.0899
14. Nichols chart
Nichols Chart
Open-Loop Phase (deg)
-180 -135 -90 -45 0 45 90 135 180
-20
-10
0
10
20
30
40
6 dB
3 dB
1 dB
0.5 dB
0.25 dB
0 dB
-1 dB
-3 dB
-6 dB
-12 dB
-20 dB
System: c
Peak gain (dB): 34.4
Frequency (rad/s): 1.87
System: c
Phase Margin (deg): 64.3
Delay Margin (sec): 0.0864
At frequency (rad/s): 13
Closed loop stable? Yes