This document provides a summary of various command line tools and utilities for working with ROS (Robot Operating System) in the Indigo distribution. It covers filesystem management tools like rospack and roscd, startup and process launch tools like roscore and rosrun, introspection and command tools like rosnode and rostopic, logging tools like rosbag, and development environment tools like rqt. It also provides instructions and examples for setting up and working with ROS catkin workspaces.
This document provides an overview of ROS (Robotic Operating System) components including nodes, topics, services, and parameters. It describes how to set up a ROS workspace using packages and stacks, configure ROS paths, build packages, and use core ROS tools like rosrun and roslaunch. It also explains how to create ROS messages for topics and services, write publishing/subscribing nodes, and service clients.
The document provides a cheat sheet for ROS 2 commands. It lists and describes common ROS 2 commands for actions, bags, components, control, daemons, doctors, extension points, extensions, interfaces, launch files, lifecycles, multicast, nodes, packages, and parameters. For each command, it gives the general format and examples of usage.
The document discusses the different states that a package's contents can be stored in, including as a source, bundle, binary, or installed in an R library or online repository. It also lists several functions that can be used to move a package between these states, such as install.packages(), devtools::install(), and library(). The bottom portion provides a cheat sheet on common parts of an R package like the DESCRIPTION file, namespaces, documentation, data, testing, and more.
The document discusses the different states that a package's contents can be stored in, including as a source, bundle, binary, or installed in an R library or online repository. It also lists several functions that can be used to move a package between these states, such as install.packages(), devtools::install(), and library(). The bottom portion provides a cheat sheet on common parts of an R package like the DESCRIPTION file, namespaces, documentation, data, testing, and more.
DockerCon EU 2015: Shipping Manifests, Bill of Lading and Docker Metadata and...Docker, Inc.
Presented by Gareth Rushgrove, Sr. Software Engineer, Puppet Labs
The shipping container metaphor for Docker points to many of the advantages of building and running software using containers. But what about other essential parts of the shipping container ecosystem like the shipping manifest and bill of lading?
Many of the most powerful features of traditional package management tools like apt or yum are based on metadata associated with the packages. You can find out who created a package and when, check where a particular file came from, whether the package has a known vulnerability and more. What would this capability look like for Docker containers?
This talk will look at the power of metadata for containers, in particular:
* Docker provides labels for associating metadata with images and containers but how best to use them?* What problems can be solved by agreeing on standards for container metadata?* Exposing standard commands and endpoints to expose metadata about what is inside a container* Demo some open source toolings and also look at the sort of tools we might build atop those standards and low-level tools.
The document discusses creating an optimized algorithm in R. It covers writing functions and algorithms in R, creating R packages, and optimizing code performance using parallel computing and high performance computing. Key steps include reviewing existing algorithms, identifying gaps, testing and iterating a new algorithm, publishing the work, and making the algorithm available to others through an R package.
This document provides an overview of ROS (Robotic Operating System) components including nodes, topics, services, and parameters. It describes how to set up a ROS workspace using packages and stacks, configure ROS paths, build packages, and use core ROS tools like rosrun and roslaunch. It also explains how to create ROS messages for topics and services, write publishing/subscribing nodes, and service clients.
The document provides a cheat sheet for ROS 2 commands. It lists and describes common ROS 2 commands for actions, bags, components, control, daemons, doctors, extension points, extensions, interfaces, launch files, lifecycles, multicast, nodes, packages, and parameters. For each command, it gives the general format and examples of usage.
The document discusses the different states that a package's contents can be stored in, including as a source, bundle, binary, or installed in an R library or online repository. It also lists several functions that can be used to move a package between these states, such as install.packages(), devtools::install(), and library(). The bottom portion provides a cheat sheet on common parts of an R package like the DESCRIPTION file, namespaces, documentation, data, testing, and more.
The document discusses the different states that a package's contents can be stored in, including as a source, bundle, binary, or installed in an R library or online repository. It also lists several functions that can be used to move a package between these states, such as install.packages(), devtools::install(), and library(). The bottom portion provides a cheat sheet on common parts of an R package like the DESCRIPTION file, namespaces, documentation, data, testing, and more.
DockerCon EU 2015: Shipping Manifests, Bill of Lading and Docker Metadata and...Docker, Inc.
Presented by Gareth Rushgrove, Sr. Software Engineer, Puppet Labs
The shipping container metaphor for Docker points to many of the advantages of building and running software using containers. But what about other essential parts of the shipping container ecosystem like the shipping manifest and bill of lading?
Many of the most powerful features of traditional package management tools like apt or yum are based on metadata associated with the packages. You can find out who created a package and when, check where a particular file came from, whether the package has a known vulnerability and more. What would this capability look like for Docker containers?
This talk will look at the power of metadata for containers, in particular:
* Docker provides labels for associating metadata with images and containers but how best to use them?* What problems can be solved by agreeing on standards for container metadata?* Exposing standard commands and endpoints to expose metadata about what is inside a container* Demo some open source toolings and also look at the sort of tools we might build atop those standards and low-level tools.
The document discusses creating an optimized algorithm in R. It covers writing functions and algorithms in R, creating R packages, and optimizing code performance using parallel computing and high performance computing. Key steps include reviewing existing algorithms, identifying gaps, testing and iterating a new algorithm, publishing the work, and making the algorithm available to others through an R package.
This document provides an agenda and overview for a hands-on lab on using DPDK in containers. It introduces Linux containers and how they use fewer system resources than VMs. It discusses how containers still use the kernel network stack, which is not ideal for SDN/NFV usages, and how DPDK can be used in containers to address this. The hands-on lab section guides users through building DPDK and Open vSwitch, configuring them to work with containers, and running packet generation and forwarding using testpmd and pktgen Docker containers connected via Open vSwitch.
The document discusses ROS (Robot Operating System) concepts and tools. It provides an overview of ROS, including its key features such as hardware abstraction, programming language independence, message passing, and package management. It describes ROS client libraries, supported operating systems and robots, common sensors, and simulators like Stage and Gazebo. It also explains the ROS filesystem structure including packages, meta-packages, and catkin workspaces. Finally, it introduces some common ROS command line tools like rospack, roscd, and rosls for package management and navigation.
The document summarizes an open source PHP driver called OrientDB-PHP that provides a way to interact with the OrientDB graph database using its binary protocol. It describes what the driver does, how to install and use it, requirements, available functions, and testing. The latest commit to the master branch of the OrientDB-PHP project bumped it to version r4606 to be compatible with OrientDB version 1.0rc8.
Language-agnostic data analysis workflows and reproducible researchAndrew Lowe
This was a talk that I gave at CERN at the Inter-experimental Machine Learning (IML) Working Group Meeting in April 2017 about language-agnostic (or polyglot) analysis workflows. I show how it is possible to work in multiple languages and switch between them without leaving the workflow you started. Additionally, I demonstrate how an entire workflow can be encapsulated in a markdown file that is rendered to a publishable paper with cross-references and a bibliography (and with raw LaTeX file produced as a by-product) in a simple process, making the whole analysis workflow reproducible. For experimental particle physics, ROOT is the ubiquitous data analysis tool, and has been for the last 20 years old, so I also talk about how to exchange data to and from ROOT.
Rack is a Ruby web server interface that provides a minimal interface between web servers and Ruby frameworks like Rails. It allows web applications to be written as Ruby objects that respond to the call method. Rack applications take a request environment hash and return a status, headers, and response body array. Rack allows modularity through middlewares that act as filters on requests. Rails itself is built with Rack and exposes its middleware stack.
DEF CON 27 - workshop - ISAAC EVANS - discover exploit and eradicate entire v...Felipe Prado
This document provides documentation for the r2c analysis platform and command line interface (CLI). It describes how to install and set up the r2c CLI, create an example analyzer, write analysis code using Python, run the analyzer locally on a test codebase, and publish the analyzer to the r2c platform to run at larger scale. The example analyzer counts the percentage of whitespace in JavaScript files to identify potentially minified code. The document guides the reader through each step of developing and testing an analyzer locally before publishing it for cloud-based analysis.
Bundling Packages and Deploying Applications with RPMAlexander Shopov
This document summarizes the steps to build an RPM package for a sample Java application called Counterbean using Tomcat. It describes preparing the build environment by installing necessary packages, creating a dedicated packager user, and initializing the RPM build tree. The document then walks through editing the spec file, adding dependencies, and building and installing the RPM package locally. Key aspects covered include file ownership, startup scripts, and switching the application's database.
An OpenShift Primer for Developers to get your Code into the Cloud (PTJUG)Eric D. Schabell
Session given at the PTJUG (Portugal JUG):
Whether you're a seasoned Java developer looking to start hacking on EE6 or you just wrote your first line of Ruby yesterday, the cloud is turning out to be the perfect environment for developing applications in just about any modern language or framework. There are plenty of clouds and platform-as-a-services to choose from, but where to start? Join us for an action-packed hour of power where we'll show you how to deploy an application written in the language of your choice - Java, Ruby, PHP, Perl or Python, with the framework of your choice - EE6, CDI, Seam, Spring, Zend, Cake, Rails, Sinatra, PerlDancer or Django to the OpenShift PaaS in just minutes. And without having to rewrite your app to get it to work the way the cloud provider thinks your app should work.
Check the command-line fu as we leverage Git to onboard apps onto OpenShift Express in seconds, while also making use of the web browser do the heavy-lifting of provisioning clusters, deploying, monitoring and auto-scaling apps in OpenShift Flex.
If you want to learn how the OpenShift PaaS and investing an hour of your time can change everything you thought you knew about developing applications in the cloud, this session is for you!
This document provides a list of basic Linux commands for tasks like displaying system information, managing files and directories, networking, installing and managing packages, and more. Some examples included are commands to display the Linux distribution, list hardware devices, copy files, install packages, and more. Nearly all common Linux tasks are covered with brief explanations of the commands.
The document describes a 3-day bootcamp for learning Ruby on Rails. Day 1 will cover fundamental Rails tools and components. Students will learn to set up their development environment, use version control with Git, and explore core Rails structures like models, views and controllers. Day 2 focuses on additional Rails techniques like scaffolding, internationalization and testing. Day 3 presents more advanced topics and full application examples to reinforce skills learned. The bootcamp aims to give students a working knowledge of Rails and resources for continuing their learning after the course.
The document discusses the SOAP_Toolkit, which allows for contract-first and code-first web services development in PHP. It provides an overview of the basics of SOAP_Toolkit, the contract-first process of generating service code and clients from a WSDL, and the code-first approach of prototyping without a WSDL. Considerations for object-relational mapping and interoperability are also briefly covered.
The document discusses the tools and practices used by a Ruby development team, including using RVM for managing Ruby versions and gemsets, Postgres.app for the database, Pow for local development, Git for version control, GitHub pull requests for code reviews, CircleCI for continuous integration and deployment to Heroku, Capistrano or Mina for deployment automation, and services like Rollbar and HipChat for error tracking and communication. Consistent coding styles, Sublime Text settings, and code quality practices like testing and reviews are also recommended.
This document provides an introduction and overview of the R programming language and environment. It discusses various interfaces for using R, including from the command line, RStudio, and RevolutionR. It also covers importing and exploring data, common data structures in R, tips for writing clean and reproducible code, popular packages for manipulation and visualization, and provides a quick example use case in RStudio.
This document provides an overview and introduction to basic Linux commands and directories for CAD beginners. It discusses the root and home directories, common commands like ls, cd, pwd, and man. It also covers file permissions and the .bashrc file, text editors like vi, the grep command, secure sharing with ssh and scp, compression with zip and tar, installing software from repositories or from source code, and Python package management with pip.
Group discussion (GD) is a method used to assess students' personality traits through discussion of a given topic in a small group. In a typical GD, 5-10 students sit in a circle and are given 2 minutes to think before discussing the topic for 15-20 minutes. GD topics can be factual, abstract, controversial, or case studies. GDs benefit students by stimulating thinking, expanding knowledge, and revealing qualities like leadership, communication skills, and teamwork. Strong GDs require preparation, knowledge of the topic, good communication and listening skills, and the ability to think outside the box. Effective participation means actively listening, contributing to move the discussion forward in a structured manner, and summarizing key points at the end.
The document discusses interview techniques, including:
- Types of interviews like panel and face-to-face interviews.
- Preparation steps like researching the company and practicing answers to common questions.
- Important tips for the interview like maintaining eye contact, proper dress, and being honest yet confident in responses.
- Questions to expect such as telling about yourself, strengths/weaknesses, and questions about previous roles.
- Dos and don'ts of interviews including thanking the interviewer afterwards.
This document provides an agenda and overview for a hands-on lab on using DPDK in containers. It introduces Linux containers and how they use fewer system resources than VMs. It discusses how containers still use the kernel network stack, which is not ideal for SDN/NFV usages, and how DPDK can be used in containers to address this. The hands-on lab section guides users through building DPDK and Open vSwitch, configuring them to work with containers, and running packet generation and forwarding using testpmd and pktgen Docker containers connected via Open vSwitch.
The document discusses ROS (Robot Operating System) concepts and tools. It provides an overview of ROS, including its key features such as hardware abstraction, programming language independence, message passing, and package management. It describes ROS client libraries, supported operating systems and robots, common sensors, and simulators like Stage and Gazebo. It also explains the ROS filesystem structure including packages, meta-packages, and catkin workspaces. Finally, it introduces some common ROS command line tools like rospack, roscd, and rosls for package management and navigation.
The document summarizes an open source PHP driver called OrientDB-PHP that provides a way to interact with the OrientDB graph database using its binary protocol. It describes what the driver does, how to install and use it, requirements, available functions, and testing. The latest commit to the master branch of the OrientDB-PHP project bumped it to version r4606 to be compatible with OrientDB version 1.0rc8.
Language-agnostic data analysis workflows and reproducible researchAndrew Lowe
This was a talk that I gave at CERN at the Inter-experimental Machine Learning (IML) Working Group Meeting in April 2017 about language-agnostic (or polyglot) analysis workflows. I show how it is possible to work in multiple languages and switch between them without leaving the workflow you started. Additionally, I demonstrate how an entire workflow can be encapsulated in a markdown file that is rendered to a publishable paper with cross-references and a bibliography (and with raw LaTeX file produced as a by-product) in a simple process, making the whole analysis workflow reproducible. For experimental particle physics, ROOT is the ubiquitous data analysis tool, and has been for the last 20 years old, so I also talk about how to exchange data to and from ROOT.
Rack is a Ruby web server interface that provides a minimal interface between web servers and Ruby frameworks like Rails. It allows web applications to be written as Ruby objects that respond to the call method. Rack applications take a request environment hash and return a status, headers, and response body array. Rack allows modularity through middlewares that act as filters on requests. Rails itself is built with Rack and exposes its middleware stack.
DEF CON 27 - workshop - ISAAC EVANS - discover exploit and eradicate entire v...Felipe Prado
This document provides documentation for the r2c analysis platform and command line interface (CLI). It describes how to install and set up the r2c CLI, create an example analyzer, write analysis code using Python, run the analyzer locally on a test codebase, and publish the analyzer to the r2c platform to run at larger scale. The example analyzer counts the percentage of whitespace in JavaScript files to identify potentially minified code. The document guides the reader through each step of developing and testing an analyzer locally before publishing it for cloud-based analysis.
Bundling Packages and Deploying Applications with RPMAlexander Shopov
This document summarizes the steps to build an RPM package for a sample Java application called Counterbean using Tomcat. It describes preparing the build environment by installing necessary packages, creating a dedicated packager user, and initializing the RPM build tree. The document then walks through editing the spec file, adding dependencies, and building and installing the RPM package locally. Key aspects covered include file ownership, startup scripts, and switching the application's database.
An OpenShift Primer for Developers to get your Code into the Cloud (PTJUG)Eric D. Schabell
Session given at the PTJUG (Portugal JUG):
Whether you're a seasoned Java developer looking to start hacking on EE6 or you just wrote your first line of Ruby yesterday, the cloud is turning out to be the perfect environment for developing applications in just about any modern language or framework. There are plenty of clouds and platform-as-a-services to choose from, but where to start? Join us for an action-packed hour of power where we'll show you how to deploy an application written in the language of your choice - Java, Ruby, PHP, Perl or Python, with the framework of your choice - EE6, CDI, Seam, Spring, Zend, Cake, Rails, Sinatra, PerlDancer or Django to the OpenShift PaaS in just minutes. And without having to rewrite your app to get it to work the way the cloud provider thinks your app should work.
Check the command-line fu as we leverage Git to onboard apps onto OpenShift Express in seconds, while also making use of the web browser do the heavy-lifting of provisioning clusters, deploying, monitoring and auto-scaling apps in OpenShift Flex.
If you want to learn how the OpenShift PaaS and investing an hour of your time can change everything you thought you knew about developing applications in the cloud, this session is for you!
This document provides a list of basic Linux commands for tasks like displaying system information, managing files and directories, networking, installing and managing packages, and more. Some examples included are commands to display the Linux distribution, list hardware devices, copy files, install packages, and more. Nearly all common Linux tasks are covered with brief explanations of the commands.
The document describes a 3-day bootcamp for learning Ruby on Rails. Day 1 will cover fundamental Rails tools and components. Students will learn to set up their development environment, use version control with Git, and explore core Rails structures like models, views and controllers. Day 2 focuses on additional Rails techniques like scaffolding, internationalization and testing. Day 3 presents more advanced topics and full application examples to reinforce skills learned. The bootcamp aims to give students a working knowledge of Rails and resources for continuing their learning after the course.
The document discusses the SOAP_Toolkit, which allows for contract-first and code-first web services development in PHP. It provides an overview of the basics of SOAP_Toolkit, the contract-first process of generating service code and clients from a WSDL, and the code-first approach of prototyping without a WSDL. Considerations for object-relational mapping and interoperability are also briefly covered.
The document discusses the tools and practices used by a Ruby development team, including using RVM for managing Ruby versions and gemsets, Postgres.app for the database, Pow for local development, Git for version control, GitHub pull requests for code reviews, CircleCI for continuous integration and deployment to Heroku, Capistrano or Mina for deployment automation, and services like Rollbar and HipChat for error tracking and communication. Consistent coding styles, Sublime Text settings, and code quality practices like testing and reviews are also recommended.
This document provides an introduction and overview of the R programming language and environment. It discusses various interfaces for using R, including from the command line, RStudio, and RevolutionR. It also covers importing and exploring data, common data structures in R, tips for writing clean and reproducible code, popular packages for manipulation and visualization, and provides a quick example use case in RStudio.
This document provides an overview and introduction to basic Linux commands and directories for CAD beginners. It discusses the root and home directories, common commands like ls, cd, pwd, and man. It also covers file permissions and the .bashrc file, text editors like vi, the grep command, secure sharing with ssh and scp, compression with zip and tar, installing software from repositories or from source code, and Python package management with pip.
Group discussion (GD) is a method used to assess students' personality traits through discussion of a given topic in a small group. In a typical GD, 5-10 students sit in a circle and are given 2 minutes to think before discussing the topic for 15-20 minutes. GD topics can be factual, abstract, controversial, or case studies. GDs benefit students by stimulating thinking, expanding knowledge, and revealing qualities like leadership, communication skills, and teamwork. Strong GDs require preparation, knowledge of the topic, good communication and listening skills, and the ability to think outside the box. Effective participation means actively listening, contributing to move the discussion forward in a structured manner, and summarizing key points at the end.
The document discusses interview techniques, including:
- Types of interviews like panel and face-to-face interviews.
- Preparation steps like researching the company and practicing answers to common questions.
- Important tips for the interview like maintaining eye contact, proper dress, and being honest yet confident in responses.
- Questions to expect such as telling about yourself, strengths/weaknesses, and questions about previous roles.
- Dos and don'ts of interviews including thanking the interviewer afterwards.
This document discusses stress, including its physical and psychological effects. It defines stress as the body's reaction to perceived threats or demands, known as the "fight or flight" response. Stress can be caused by situations that are demanding, imminent, ambiguous or uncontrollable. Not all stress is bad; eustress from meaningful challenges can be beneficial, while distress from overwhelming difficulties is harmful. The document provides suggestions for reducing stress, such as finding support, maintaining a realistic attitude, getting organized, taking breaks, exercising, relaxing activities, humor, and learning relaxation techniques.
The document provides etiquette guidelines for social situations, the office, business attire, meetings, dining, cubicles, telephone use, and voicemail. Some key points include being punctual, well-groomed, and respectful; wearing appropriate attire for the situation; keeping workspaces tidy; speaking clearly on the phone; and returning messages promptly. Proper etiquette helps ensure respect and avoid awkwardness across a variety of professional contexts.
This document provides guidance on effective note-making strategies. It recommends skim reading materials to identify key points, evaluating sources for credibility, and structuring notes with topics, evidence, and conclusions. Specific note-making techniques are outlined, including using bullet points, abbreviations, mind maps, flow charts, and compiling notes from multiple sources under consistent headings. The overall message is that notes should capture essential information concisely and in a manner that facilitates understanding and future reference.
The document provides etiquette guidelines for various social situations involving food including greetings, name tags, formal dinners, dining etiquette, and toasts. Key points covered include shaking hands for 3-4 seconds upon introduction while making eye contact with the other person's name tag, starting from the outside and working in when using utensils at formal dinners, and waiting until everyone is finished before leaving the table when dining with others.
Stress can be defined as mental, physical, emotional and behavioral reactions to perceived demands or threats. The "fight or flight" response prepares the body to take action when situations seem threatening by supplying protection. Stressful situations have strong demands, are imminent, involve life transitions or timing deviations from norms. Not all stress is bad - eustress from opportunities can provide energy, while distress feels overwhelming with no end. We stress when situations feel dangerous/difficult and we lack coping resources. Reducing stress involves finding support, changing attitudes, being realistic, getting organized, taking breaks, self-care, saying no, exercise, hobbies, slowing down, humor, and relaxation techniques like deep breathing and visualization.
This email announces a call for papers (CFP) for a workshop on evaluating motion planning performance at the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). The workshop will bring together researchers to discuss metrics, tools, datasets and experimental designs for evaluating motion planners. Extended abstract submissions are invited on topics related to motion planning evaluation and are due by September 16. Accepted submissions will be presented as posters or lightning talks at the hybrid workshop on October 23-27 in Kyoto, Japan. The organizers aim to establish standards for reliable and comparable evaluation in the field through this workshop.
This document contains 10 questions related to mechanical design of machine members. Question 2 and 3 ask to calculate the diameter and angle of twist of a shaft transmitting 60 kW of power at 150 rpm, with a maximum torque 25% higher than the mean and a maximum shear stress of 60 N/mm^2. Question 8 asks to calculate the diameter and shear stress of a shaft transmitting 1 MW of power at 240 rpm that must not twist more than 1 degree over 15 diameters, given the material's modulus of rigidity is 80 GPa. Question 10 asks to calculate the diameter of a cylindrical steel shaft subjected to bending and torsional moments using different failure theories and assuming a safety factor of 2.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
1. ROS Indigo Cheatsheet
Filesystem Management Tools
rospack A tool for inspecting packages.
rospack profile Fixes path and pluginlib problems.
roscd Change directory to a package.
rospd/rosd Pushd equivalent for ROS.
rosls Lists package or stack information.
rosed Open requested ROS file in a text editor.
roscp Copy a file from one place to another.
rosdep Installs package system dependencies.
roswtf Displays a errors and warnings about a
running ROS system or launch file.
catkin create pkg Creates a new ROS stack.
wstool Manage many repos in workspace.
catkin make Builds a ROS catkin workspace.
rqt dep Displays package structure and depen-
dencies.
Usage:
$ rospack find [package]
$ roscd [package[/subdir]]
$ rospd [package[/subdir] | +N | -N]
$ rosd
$ rosls [package[/subdir]]
$ rosed [package] [file]
$ roscp [package] [file] [destination]
$ rosdep install [package]
$ roswtf or roswtf [file]
$ catkin create pkg [package name] [depend1]..[dependN]
$ wstool [init | set | update]
$ catkin make
$ rqt dep [options]
Start-up and Process Launch Tools
roscore
The basis nodes and programs for ROS-based systems. A
roscore must be running for ROS nodes to communicate.
Usage:
$ roscore
rosrun
Runs a ROS package’s executable with minimal typing.
Usage:
$ rosrun package name executable name
Example (runs turtlesim):
$ rosrun turtlesim turtlesim node
roslaunch
Starts a roscore (if needed), local nodes, remote nodes via
SSH, and sets parameter server parameters.
Examples:
Launch a file in a package:
$ roslaunch package name file name.launch
Launch on a different port:
$ roslaunch -p 1234 package name file name.launch
Launch on the local nodes:
$ roslaunch --local package name file name.launch
Introspection and Command Tools
rosnode
Displays debugging information about ROS nodes, including
publications, subscriptions and connections.
Commands:
rosnode ping Test connectivity to node.
rosnode list List active nodes.
rosnode info Print information about a node.
rosnode machine List nodes running on a machine.
rosnode kill Kill a running node.
Examples:
Kill all nodes:
$ rosnode kill -a
List nodes on a machine:
$ rosnode machine aqy.local
Ping all nodes:
$ rosnode ping --all
rostopic
A tool for displaying information about ROS topics, including
publishers, subscribers, publishing rate, and messages.
Commands:
rostopic bw Display bandwidth used by topic.
rostopic echo Print messages to screen.
rostopic find Find topics by type.
rostopic hz Display publishing rate of topic.
rostopic info Print information about an active topic.
rostopic list List all published topics.
rostopic pub Publish data to topic.
rostopic type Print topic type.
Examples:
Publish hello at 10 Hz:
$ rostopic pub -r 10 /topic name std msgs/String hello
Clear the screen after each message is published:
$ rostopic echo -c /topic name
Display messages that match a given Python expression:
$ rostopic echo --filter "m.data==’foo’" /topic name
Pipe the output of rostopic to rosmsg to view the msg type:
$ rostopic type /topic name | rosmsg show
rosservice
A tool for listing and querying ROS services.
Commands:
rosservice list Print information about active services.
rosservice node Print name of node providing a service.
rosservice call Call the service with the given args.
rosservice args List the arguments of a service.
rosservice type Print the service type.
rosservice uri Print the service ROSRPC uri.
rosservice find Find services by service type.
Examples:
Call a service from the command-line:
$ rosservice call /add two ints 1 2
Pipe the output of rosservice to rossrv to view the srv type:
$ rosservice type add two ints | rossrv show
Display all services of a particular type:
$ rosservice find rospy tutorials/AddTwoInts
rosparam
A tool for getting and setting ROS parameters on the
parameter server using YAML-encoded files.
Commands:
rosparam set Set a parameter.
rosparam get Get a parameter.
rosparam load Load parameters from a file.
rosparam dump Dump parameters to a file.
rosparam delete Delete a parameter.
rosparam list List parameter names.
Examples:
List all the parameters in a namespace:
$ rosparam list /namespace
Setting a list with one as a string, integer, and float:
$ rosparam set /foo "[’1’, 1, 1.0]"
Dump only the parameters in a specific namespace to file:
$ rosparam dump dump.yaml /namespace
rosmsg/rossrv
Displays Message/Service (msg/srv) data structure definitions.
Commands:
rosmsg show Display the fields in the msg/srv.
rosmsg list Display names of all msg/srv.
rosmsg md5 Display the msg/srv md5 sum.
rosmsg package List all the msg/srv in a package.
rosmsg packages List all packages containing the msg/srv.
Examples:
Display the Pose msg:
$ rosmsg show Pose
List the messages in the nav msgs package:
$ rosmsg package nav msgs
List the packages using sensor msgs/CameraInfo:
$ rosmsg packages sensor msgs/CameraInfo
Logging Tools
rosbag
A set of tools for recording and playing back of ROS topics.
Commands:
rosbag record Record a bag file with specified topics.
rosbag play Play content of one or more bag files.
rosbag compress Compress one or more bag files.
rosbag decompress Decompress one or more bag files.
rosbag filter Filter the contents of the bag.
Examples:
Record select topics:
$ rosbag record topic1 topic2
Replay all messages without waiting:
$ rosbag play -a demo log.bag
Replay several bag files at once:
$ rosbag play demo1.bag demo2.bag
tf echo
A tool that prints the information about a particular
transformation between a source frame and a target frame.
Usage:
$ rosrun tf tf echo <source frame> <target frame>
Examples:
To echo the transform between /map and /odom:
$ rosrun tf tf echo /map /odom
2. Logging Tools
rqt console
A tool to display and filtering messages published on rosout.
Usage:
$ rqt console
rqt bag
A tool for visualizing, inspecting, and replaying bag files.
Usage, viewing:
$ rqt bag bag file.bag
Usage, bagging:
$ rqt bag *press the big red record button.*
rqt logger level
Change the logger level of ROS nodes. This will increase or
decrease the information they log to the screen and rqt console.
Usage:
viewing $ rqt logger level
Introspection & Command Tools
rqt topic
A tool for viewing published topics in real time.
Usage:
$ rqt
Plugin Menu->Topic->Topic Monitor
rqt msg, rqt srv, and rqt action
A tool for viewing available msgs, srvs, and actions.
Usage:
$ rqt
Plugin Menu->Topic->Message Type Browser
Plugin Menu->Service->Service Type Browser
Plugin Menu->Action->Action Type Browser
rqt top
A tool for ROS specific process monitoring.
Usage:
$ rqt
Plugin Menu->Introspection->Process Monitor
rqt publisher, and rqt service caller
Tools for publishing messages and calling services.
Usage:
$ rqt
Plugin Menu->Topic->Message Publisher
Plugin Menu->Service->Service Caller
rqt reconfigure
A tool for dynamically reconfiguring ROS parameters.
Usage:
$ rqt
Plugin Menu->Configuration->Dynamic Reconfigure
rqt graph, and rqt dep
Tools for displaying graphs of running ROS nodes with
connecting topics and package dependancies respectively.
Usage:
$ rqt graph
$ rqt dep
Development Environments
rqt shell, and rqt py console
Two tools for accessing an xterm shell and python console
respectively.
Usage:
$ rqt
Plugin Menu->Miscellaneous Tools->Shell
Plugin Menu->Miscellaneous Tools->Python Console
Data Visualization Tools
view frames
A tool for visualizing the full tree of coordinate transforms.
Usage:
$ rosrun tf2 tools view frames.py
$ evince frames.pdf
rqt plot
A tool for plotting data from ROS topic fields.
Examples:
To graph the data in different plots:
$ rqt plot /topic1/field1 /topic2/field2
To graph the data all on the same plot:
$ rqt plot /topic1/field1,/topic2/field2
To graph multiple fields of a message:
$ rqt plot /topic1/field1:field2:field3
rqt image view
A tool to display image topics.
Usage:
$ rqt image view
ROS Indigo Catkin Workspaces
Create a catkin workspace
Setup and use a new catkin workspace from scratch.
Example:
$ source /opt/ros/indigo/setup.bash
$ mkdir -p ~/catkin ws/src
$ cd ~/catkin ws/src
$ catkin init workspace
Checkout an existing ROS package
Get a local copy of the code for an existing package and keep
it up to date using wstool.
Examples:
$ cd ~/catkin ws/src
$ wstool init
$ wstool set tut --git git://github.com/ros/ros tutorials.git
$ wstool update
Create a new catkin ROS package
Create a new ROS catkin package in an existing workspace
with catkin create package.
Usage:
$ catkin create pkg <package name> [depend1] [depend2]
Example:
$ cd ~/catkin ws/src
$ catkin create pkg tutorials std msgs rospy roscpp
Build all packages in a workspace
Use catkin make to build all the packages in the workspace
and then source the setup.bash to add the workspace to the
ROS PACKAGE PATH.
Examples:
$ cd ~/catkin ws
$ ~/catkin make
$ source devel/setup.bash
CMakeLists.txt
Your CMakeLists.txt file MUST follow this format otherwise
your packages will not build correctly.
cmake minimum required() Specify the name of the package
project() Project name which can refer as ${PROJECT NAME}
find package() Find other packages needed for build
catkin package() Specify package build info export
Build Executables and Libraries:
Use CMake function to build executable and library targets.
These macro should call after catkin package() to use
catkin * variables.
include directories(include ${catkin INCLUDE DIRS})
add executable(hoge src/hoge.cpp)
add library(fuga src/fuga.cpp)
target link libraries(hoge fuga ${catkin LIBRARIES})
Message generation:
There are add {message,service,action} files() macros to
handle messages,services and actions respectively. They must
call before catkin package().
find package(catkin COMPONENTS message generation std msgs)
add message files(FILES Message1.msg)
generate messages(DEPENDENCIES std msgs)
catkin package(CATKIN DEPENDS message runtime)
If your package builds messages as well as executables that use
them, you need to create an explicit dependency.
add dependencies(hoge ${PROJECT NAME} generate messages cpp)
Copyright c 2015 Open Source Robotics Foundation
Copyright c 2010 Willow Garage