This tutorial provides step by step guide on how to install XSTAMPP tool for safety engineering for software-intensive Systems and customise its configurations.
Financial Question Answering with BERT Language ModelsBithiah Yuan
(1) The document presents research on using pre-trained BERT language models for financial question answering (QA). (2) It proposes several BERT models for financial QA, including further pre-training BERT on financial text or transferring a BERT model pre-trained on a large general QA task. (3) Experimental results found that transferring a BERT model pre-trained on a much larger general QA task achieved the best performance, outperforming approaches involving further pre-training BERT on financial data.
Natural language processing and transformer modelsDing Li
The document discusses several approaches for text classification using machine learning algorithms:
1. Count the frequency of individual words in tweets and sum for each tweet to create feature vectors for classification models like regression. However, this loses some word context information.
2. Use Bayes' rule and calculate word probabilities conditioned on class to perform naive Bayes classification. Laplacian smoothing is used to handle zero probabilities.
3. Incorporate word n-grams and context by calculating word probabilities within n-gram contexts rather than independently. This captures more linguistic information than the first two approaches.
The purpose of this project is to mitigate and solve issues regarding health care services such as rehabilitation and specific health guidance while alleviating spatio-temporal, economic, and cognitive constraints by establishing remote technology foundation. There are four themes in this project titled “Multimodal XR-AI (XR powered by AI) platform development for tele-rehabilitation and reciprocal care coupling with health guidance.” In theme #1, we have been developing MR3 (Multi-Modal Mixed Reality for Remote Rehab) devices consisting of Wear and Mannequin for supporting detailed assessments of users’ physical functions and tactile interaction respectively. The central issue of theme #2 is to support intrinsic motivation for rehabilitation and exercise training through XR technologies as in virtual co-embodiment and hand redirection. In addition, we have also been investigating how to deal with 1-to-N (a small number of providers) and 0-to-N (no providers) situations. Theme #3 has aimed on establishing AI technology foundation for creating, monitoring progress of, and updating tele-rehabilitation programs mainly for the upper limb. Systems for always-on monitoring during daily life and work developed in theme #4 is expected to serve as a common foundation for various tele-healthcare services.
蔵田武志, 尾形邦裕, 金澤周介, 今村由芽子, 佐藤章博, 小木曽里樹, 小林吉之, 一刈良介, 中江悟司, 多田充徳, 青山朋樹, 清水博己, 葛岡英明, 中村拓人, 腰原健, 黒田真朗, 返町秀光, 大島賢典, "「遠隔リハビリのための多感覚XR-AI技術基盤構築と保健指導との互恵ケア連携」で目指すところ", 日本バーチャルリアリティ学会第66回複合現実感研究会, Vol.25, No.2, MR2022-11, 2022.
Financial Question Answering with BERT Language ModelsBithiah Yuan
(1) The document presents research on using pre-trained BERT language models for financial question answering (QA). (2) It proposes several BERT models for financial QA, including further pre-training BERT on financial text or transferring a BERT model pre-trained on a large general QA task. (3) Experimental results found that transferring a BERT model pre-trained on a much larger general QA task achieved the best performance, outperforming approaches involving further pre-training BERT on financial data.
Natural language processing and transformer modelsDing Li
The document discusses several approaches for text classification using machine learning algorithms:
1. Count the frequency of individual words in tweets and sum for each tweet to create feature vectors for classification models like regression. However, this loses some word context information.
2. Use Bayes' rule and calculate word probabilities conditioned on class to perform naive Bayes classification. Laplacian smoothing is used to handle zero probabilities.
3. Incorporate word n-grams and context by calculating word probabilities within n-gram contexts rather than independently. This captures more linguistic information than the first two approaches.
The purpose of this project is to mitigate and solve issues regarding health care services such as rehabilitation and specific health guidance while alleviating spatio-temporal, economic, and cognitive constraints by establishing remote technology foundation. There are four themes in this project titled “Multimodal XR-AI (XR powered by AI) platform development for tele-rehabilitation and reciprocal care coupling with health guidance.” In theme #1, we have been developing MR3 (Multi-Modal Mixed Reality for Remote Rehab) devices consisting of Wear and Mannequin for supporting detailed assessments of users’ physical functions and tactile interaction respectively. The central issue of theme #2 is to support intrinsic motivation for rehabilitation and exercise training through XR technologies as in virtual co-embodiment and hand redirection. In addition, we have also been investigating how to deal with 1-to-N (a small number of providers) and 0-to-N (no providers) situations. Theme #3 has aimed on establishing AI technology foundation for creating, monitoring progress of, and updating tele-rehabilitation programs mainly for the upper limb. Systems for always-on monitoring during daily life and work developed in theme #4 is expected to serve as a common foundation for various tele-healthcare services.
蔵田武志, 尾形邦裕, 金澤周介, 今村由芽子, 佐藤章博, 小木曽里樹, 小林吉之, 一刈良介, 中江悟司, 多田充徳, 青山朋樹, 清水博己, 葛岡英明, 中村拓人, 腰原健, 黒田真朗, 返町秀光, 大島賢典, "「遠隔リハビリのための多感覚XR-AI技術基盤構築と保健指導との互恵ケア連携」で目指すところ", 日本バーチャルリアリティ学会第66回複合現実感研究会, Vol.25, No.2, MR2022-11, 2022.
The document discusses conditional generative adversarial networks (GANs) for image-to-image translation tasks. It presents the conditional CycleGAN model which uses cycle consistency loss to learn mappings between domains without paired training examples. The model consists of generators and discriminators trained in an adversarial manner to translate images from one domain to another and back again.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/powering-the-connected-intelligent-edge-and-the-future-of-on-device-ai-a-presentation-from-qualcomm/
Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Powering the Connected Intelligent Edge and the Future of On-Device AI” tutorial at the May 2022 Embedded Vision Summit.
Qualcomm is leading the realization of the “connected intelligent edge,” where the convergence of wireless connectivity, efficient computing and distributed AI will power the devices and experiences that you deserve. In this talk, Asghar explores some of the key challenges in deploying AI across diverse edge products in markets including mobile, automotive, XR, IoT, robotics and PCs — and some of the important differences in the AI requirements of these applications.
Asghar identifies unique AI features that will be needed as physical and digital spaces converge in what is now called the “metaverse”. He highlights key AI technologies offered within Qualcomm products, and how the company connects them to enable the connected intelligent edge. Finally, he shares his vision of the future of on-device AI — including on-device learning, efficient models, state-of-the-art quantization, and how Qualcomm plans to make this vision a reality.
Middleware is software that lies between an operating system and applications. It hides the complexity of operating systems and networks from application developers. Middleware systems provide services like remote communication and distributed computing. They allow applications to communicate across networks in a heterogeneous environment. Middleware reduces the burden on developers to build distributed applications directly on top of network protocols and operating systems.
IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.
Opportunities & Challenges in IoT - Future of IoT industry in Indonesia 2019 ...Andri Yadi
The document discusses opportunities and challenges for IoT in Indonesia from 2019 to 2024. It notes that Indonesia's IoT market is projected to reach $444 trillion by 2022, driven mainly by platform and application sectors. It also predicts Indonesia will have 400 million IoT devices by 2022, with manufacturing and healthcare making up the largest portions. The document advocates combining AI and IoT to create new use cases and business models, and discusses challenges around talent, infrastructure, regulations, and startups in developing Indonesia's IoT industry. It outlines efforts by the Indonesia IoT Association to address these challenges through collaboration, certifications, and socialization events.
This document summarizes a presentation given by Chirag Patel and Tijmen Blankevoort of Qualcomm AI Research on model efficiency techniques for edge AI. They discuss why model efficiency is important for on-device AI due to constraints like power and thermal limits. They overview techniques like quantization, conditional compute, neural architecture search, and compilation that can shrink AI models and efficiently run them on hardware. Specifically, they find that integer quantization through techniques like post-training and quantization-aware training can achieve similar accuracy as floating point models but provide much better performance per watt. Overall, the presentation advocates that integer quantization is the best approach for efficient AI inference on edge devices.
Big Data Analytics for the Industrial Internet of ThingsAnthony Chen
This document summarizes a presentation about big data analytics for the industrial internet of things. The presentation introduces the concepts of the industrial internet and how machine-generated data from sensors can be analyzed at large scale. Examples are given of how sensor data from aircraft engines, wind turbines, medical devices, and other systems can provide insights to improve efficiency, predict maintenance needs, and enhance operations. The presentation argues that big data analytics applied to industrial internet sensor data can help eliminate up to $150 billion in waste across industries through optimizations.
1) Transformers use self-attention to solve problems with RNNs like vanishing gradients and parallelization. They combine CNNs and attention.
2) Transformers have encoder and decoder blocks. The encoder models input and decoder models output. Variations remove encoder (GPT) or decoder (BERT) for language modeling.
3) GPT-3 is a large Transformer with 175B parameters that can perform many NLP tasks but still has safety and bias issues.
Internet of Things(IoT) Applications | IoT Tutorial for Beginners | IoT Train...Edureka!
*** IoT Certification Training: https://www.edureka.co/iot-certificat... ***
This Edureka tutorial on "IoT Applications" takes you through the 6 domains which IoT has reinvented, namely,
1. IoT in Everyday LIfe
2. IoT in Healthcare
3. IoT in Smart Cities
4. IoT in Agriculture
5. IoT in Industrial Automation
6. IoT in Disaster Management
Know real-time examples of IoT applications in the most interesting use cases of today's world. Understand how they work and how can IoT be used to its complete potential.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
This document provides instructions for setting up a simple registration example using Struts. It involves:
1. Modifying the struts-config.xml file to map the URL /actions/register1.do to the RegisterAction1 class.
2. Adding a <forward> element to struts-config.xml to specify that the result1.jsp page should be displayed when RegisterAction1 returns "success".
3. Creating the RegisterAction1 class to handle requests to /actions/register1.do. When executed, it will always return "success".
The end result is that accessing /actions/register1.do via a web browser will invoke the RegisterAction1 class and
The document discusses conditional generative adversarial networks (GANs) for image-to-image translation tasks. It presents the conditional CycleGAN model which uses cycle consistency loss to learn mappings between domains without paired training examples. The model consists of generators and discriminators trained in an adversarial manner to translate images from one domain to another and back again.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/powering-the-connected-intelligent-edge-and-the-future-of-on-device-ai-a-presentation-from-qualcomm/
Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Powering the Connected Intelligent Edge and the Future of On-Device AI” tutorial at the May 2022 Embedded Vision Summit.
Qualcomm is leading the realization of the “connected intelligent edge,” where the convergence of wireless connectivity, efficient computing and distributed AI will power the devices and experiences that you deserve. In this talk, Asghar explores some of the key challenges in deploying AI across diverse edge products in markets including mobile, automotive, XR, IoT, robotics and PCs — and some of the important differences in the AI requirements of these applications.
Asghar identifies unique AI features that will be needed as physical and digital spaces converge in what is now called the “metaverse”. He highlights key AI technologies offered within Qualcomm products, and how the company connects them to enable the connected intelligent edge. Finally, he shares his vision of the future of on-device AI — including on-device learning, efficient models, state-of-the-art quantization, and how Qualcomm plans to make this vision a reality.
Middleware is software that lies between an operating system and applications. It hides the complexity of operating systems and networks from application developers. Middleware systems provide services like remote communication and distributed computing. They allow applications to communicate across networks in a heterogeneous environment. Middleware reduces the burden on developers to build distributed applications directly on top of network protocols and operating systems.
IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.
Opportunities & Challenges in IoT - Future of IoT industry in Indonesia 2019 ...Andri Yadi
The document discusses opportunities and challenges for IoT in Indonesia from 2019 to 2024. It notes that Indonesia's IoT market is projected to reach $444 trillion by 2022, driven mainly by platform and application sectors. It also predicts Indonesia will have 400 million IoT devices by 2022, with manufacturing and healthcare making up the largest portions. The document advocates combining AI and IoT to create new use cases and business models, and discusses challenges around talent, infrastructure, regulations, and startups in developing Indonesia's IoT industry. It outlines efforts by the Indonesia IoT Association to address these challenges through collaboration, certifications, and socialization events.
This document summarizes a presentation given by Chirag Patel and Tijmen Blankevoort of Qualcomm AI Research on model efficiency techniques for edge AI. They discuss why model efficiency is important for on-device AI due to constraints like power and thermal limits. They overview techniques like quantization, conditional compute, neural architecture search, and compilation that can shrink AI models and efficiently run them on hardware. Specifically, they find that integer quantization through techniques like post-training and quantization-aware training can achieve similar accuracy as floating point models but provide much better performance per watt. Overall, the presentation advocates that integer quantization is the best approach for efficient AI inference on edge devices.
Big Data Analytics for the Industrial Internet of ThingsAnthony Chen
This document summarizes a presentation about big data analytics for the industrial internet of things. The presentation introduces the concepts of the industrial internet and how machine-generated data from sensors can be analyzed at large scale. Examples are given of how sensor data from aircraft engines, wind turbines, medical devices, and other systems can provide insights to improve efficiency, predict maintenance needs, and enhance operations. The presentation argues that big data analytics applied to industrial internet sensor data can help eliminate up to $150 billion in waste across industries through optimizations.
1) Transformers use self-attention to solve problems with RNNs like vanishing gradients and parallelization. They combine CNNs and attention.
2) Transformers have encoder and decoder blocks. The encoder models input and decoder models output. Variations remove encoder (GPT) or decoder (BERT) for language modeling.
3) GPT-3 is a large Transformer with 175B parameters that can perform many NLP tasks but still has safety and bias issues.
Internet of Things(IoT) Applications | IoT Tutorial for Beginners | IoT Train...Edureka!
*** IoT Certification Training: https://www.edureka.co/iot-certificat... ***
This Edureka tutorial on "IoT Applications" takes you through the 6 domains which IoT has reinvented, namely,
1. IoT in Everyday LIfe
2. IoT in Healthcare
3. IoT in Smart Cities
4. IoT in Agriculture
5. IoT in Industrial Automation
6. IoT in Disaster Management
Know real-time examples of IoT applications in the most interesting use cases of today's world. Understand how they work and how can IoT be used to its complete potential.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
This document provides instructions for setting up a simple registration example using Struts. It involves:
1. Modifying the struts-config.xml file to map the URL /actions/register1.do to the RegisterAction1 class.
2. Adding a <forward> element to struts-config.xml to specify that the result1.jsp page should be displayed when RegisterAction1 returns "success".
3. Creating the RegisterAction1 class to handle requests to /actions/register1.do. When executed, it will always return "success".
The end result is that accessing /actions/register1.do via a web browser will invoke the RegisterAction1 class and
This document provides instructions for several StreamSets Academy labs:
1. The "Lab: Set Up a Deployment" lab guides the user to create a deployment in StreamSets Cloud, generate an install script, and register execution engines to the deployment from their lab environment.
2. The "Lab: First Pipeline to Test Deployment" lab has the user build a simple pipeline with a dev data generator origin and trash destination to test their new deployment.
3. The "Lab: Build a Pipeline" lab modifies the first pipeline to connect to real data from the Zomato dataset using a directory origin and adds a stream selector processor and local FS destination.
4. The "Lab: Run a
This document provides an introduction and overview of the statistical software InnerSoft STATS. It describes the software's installation process, licensing and activation procedures. It also outlines the main program windows including the project manager, worksheet and output windows. Finally, it provides guidance on working within these windows, such as opening and saving files, setting project properties, and entering and analyzing data. The document is intended to help new users understand the basic functionality and navigation of the InnerSoft STATS interface.
Saurabh Patel presents methods for customizing project-specific SAS sessions. The regular process of initializing SAS is time-consuming, involving opening SAS and running setup files. A dynamic one-step process uses shortcuts specifying a customized configuration file to automatically initialize libraries and options. This allows direct access to project documents and distinguishes sessions. Restricting to one session prevents errors by closing existing SAS processes before opening another.
Symantec is a leader in security software and has built a next generation analytics platform using open source technologies like Hadoop, Storm and Kafka. The platform processes 300,000 events per second from security events and alerts in real-time. The analytics cluster includes a Kafka cluster for streaming data, a Storm cluster for real-time processing, and tools for automated deployment, monitoring and performance measurement of the platform.
This tutorial provides you a step-by-step guide on how to create and manage your STPA safety analysis project in XSTAMPP tool support, edit the STPA project data, export it in different formats, save and delete.
www.xstampp.de
This document provides an overview of the Apache Struts framework, including its advantages as an MVC framework, how to set it up, test it, develop applications with it, and access documentation. Struts is a widely used framework that standardizes the MVC approach. It can be tested by deploying the struts-blank application, and new applications should be started from the struts-blank directory rather than building from scratch. While Struts adds complexity, it also provides many utilities and tags for building Java web applications.
This document provides an overview of the Apache Struts framework, including its advantages as an MVC framework, how to set it up, test it, develop applications with it, and access documentation. Struts is a widely used framework that standardizes the MVC approach. The document recommends testing Struts using the struts-blank application and developing new applications by copying the struts-blank directory rather than starting from scratch.
Cast Iron Cloud Integration Best PracticesSarath Ambadas
This document provides best practices for developing and managing WebSphere Cast Iron integrations. It discusses naming conventions, error handling, orchestration development, appliance configuration, performance tuning, and upgrade processes. Development best practices include splitting large orchestrations, using configuration properties, and testing before deploying. Appliance best practices involve monitoring resources and purging logs. Performance can be improved by configuring connection pooling, batch processing, and tuning job concurrency. Upgrades involve backing up repositories and deploying existing projects to new versions.
The document provides an overview of the Apache Struts 2 framework. It discusses that Struts 2 is a popular Java web framework based on the MVC pattern. It is a complete rewrite of the original Struts framework. The document then covers the core components of Struts 2 including actions, interceptors, the value stack, results, and view technologies. It also provides details on setting up the Struts 2 development environment including installing Java, Tomcat, Eclipse, and the Struts 2 libraries.
This document provides an overview and instructions for using the InnerSoft STATS statistical analysis software. It covers installation, activation, working in the main windows, and descriptive and inferential statistical tests available in the software. The document recommends limiting the number of columns when working with large datasets to avoid memory issues. It also notes that the software works best for datasets with millions of values rather than for scientific applications requiring very large or small numbers.
Saptarshi Purkayastha discusses three options for installing OpenMRS - OpenMRS Standalone, OpenMRS Platform, and OpenMRS Reference Application. The document provides instructions for installing dependencies like Java and configuring the JAVA_OPTS environment variable. It also explains how to download, extract, and start the OpenMRS Standalone version, which runs on ports 8081 for Tomcat and 3316 for MySQL. The browser should open to the OpenMRS login page after starting, with default credentials of username "admin" and password "Admin123".
The document discusses the Apache Struts 2 framework. It provides an overview of Struts 2, describing it as a popular and mature web application framework based on the MVC design pattern. It also notes that Struts 2 is a complete rewrite of the original Struts architecture. The document then outlines the key steps to setup the Struts 2 development environment, including installing Java, Tomcat, Eclipse, and the Struts 2 libraries. It provides a high-level overview of the Struts 2 architecture and the components involved in the request processing lifecycle.
The document provides instructions for setting up an Apache Struts 2 development environment using Eclipse IDE. It includes steps to install Java, Tomcat, Eclipse, and Struts 2 libraries. It then discusses the Struts 2 architecture and components including actions, interceptors, results and views. Finally, it provides a tutorial to create a basic "Hello World" Struts 2 application with an action class, JSP views and configuration files.
Prometheus - Intro, CNCF, TSDB,PromQL,GrafanaSridhar Kumar N
https://www.youtube.com/playlist?list=PLAiEy9H6ItrKC5PbH7KiELiSEIKv3tuov
-What is Prometheus?
-Difference Between Nagios vs Prometheus
-Architecture
-Alertmanager
-Time series DB
-PromQL (Prometheus Query Language)
-Live Demo
-Grafana
Gatling is a project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications. It is Scala-based, high performance load and stress test tool.
This document provides instructions for configuring the Eclipse development environment, including:
1. Setting up two Eclipse installations - one for development and one for the target platform.
2. Adding all plugins to the Java search to make it easier to find classes and data across plugins.
3. Configuring Eclipse launch arguments like the workspace location, JVM to use, and JVM arguments for optimal performance.
4. Recommended JVM arguments like maximum and initial heap sizes based on system resources.
ApacheCon NA 2010 - Developing Composite Apps for the Cloud with Apache TuscanyJean-Sebastien Delfino
This document discusses developing composite applications for the cloud using Apache Tuscany. It provides an overview of cloud computing goals and challenges, and how the Service Component Architecture (SCA) aims to address these challenges. Specifically, SCA abstracts out technical APIs and protocols to allow focusing on business logic. Apache Tuscany is an open source SCA implementation that can help assemble, wire, and rewire components in the cloud. The document demonstrates rewiring components in a Tuscany application deployed to Amazon EC2.
Similar to Tutorial1: How to install and configure XSTAMPP (20)
This presentation discusses applying STPA (Systems-Theoretic Process Analysis) and formal verification techniques to software verification. It provides an overview of STPA and how it can be used to derive safety requirements and identify unsafe control actions. It also discusses formal specification and model checking methods that can be used to verify software meets STPA-derived requirements. The presentation demonstrates applying STPA to a train door controller example and generating an SMV model and LTL properties to model check in NuSMV. Finally, it discusses how STPA results can be used to generate safety-based test cases for software verification.
The document discusses how to edit causal factors and scenarios in an STPA project. It explains that the control structure diagram parts will appear in the first column of the causal factors table, and that causal factors can be written generally or individually for each unsafe control action. It also notes that the latest version of the software allows safety analysts to edit causal scenarios by checking or unchecking causal scenarios in the project settings menu.
This final version of the final Phd_dissertation_defense slides on topic "A System-Theoretic Safety Engineering
Approach for Software-Intensive Systems"
Ensuring Efficiency and Speed with Practical Solutions for Clinical OperationsOnePlan Solutions
Clinical operations professionals encounter unique challenges. Balancing regulatory requirements, tight timelines, and the need for cross-functional collaboration can create significant internal pressures. Our upcoming webinar will introduce key strategies and tools to streamline and enhance clinical development processes, helping you overcome these challenges.
Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdfBaha Majid
IBM watsonx Code Assistant for Z, our latest Generative AI-assisted mainframe application modernization solution. Mainframe (IBM Z) application modernization is a topic that every mainframe client is addressing to various degrees today, driven largely from digital transformation. With generative AI comes the opportunity to reimagine the mainframe application modernization experience. Infusing generative AI will enable speed and trust, help de-risk, and lower total costs associated with heavy-lifting application modernization initiatives. This document provides an overview of the IBM watsonx Code Assistant for Z which uses the power of generative AI to make it easier for developers to selectively modernize COBOL business services while maintaining mainframe qualities of service.
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
React.js, a JavaScript library developed by Facebook, has gained immense popularity for building user interfaces, especially for single-page applications. Over the years, React has evolved and expanded its capabilities, becoming a preferred choice for mobile app development. This article will explore why React.js is an excellent choice for the Best Mobile App development company in Noida.
Visit Us For Information: https://www.linkedin.com/pulse/what-makes-reactjs-stand-out-mobile-app-development-rajesh-rai-pihvf/
Penify - Let AI do the Documentation, you write the Code.KrishnaveniMohan1
Penify automates the software documentation process for Git repositories. Every time a code modification is merged into "main", Penify uses a Large Language Model to generate documentation for the updated code. This automation covers multiple documentation layers, including InCode Documentation, API Documentation, Architectural Documentation, and PR documentation, each designed to improve different aspects of the development process. By taking over the entire documentation process, Penify tackles the common problem of documentation becoming outdated as the code evolves.
https://www.penify.dev/
Superpower Your Apache Kafka Applications Development with Complementary Open...Paul Brebner
Kafka Summit talk (Bangalore, India, May 2, 2024, https://events.bizzabo.com/573863/agenda/session/1300469 )
Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
How GenAI Can Improve Supplier Performance Management.pdfZycus
Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Boost Your Savings with These Money Management AppsJhone kinadey
A money management app can transform your financial life by tracking expenses, creating budgets, and setting financial goals. These apps offer features like real-time expense tracking, bill reminders, and personalized insights to help you save and manage money effectively. With a user-friendly interface, they simplify financial planning, making it easier to stay on top of your finances and achieve long-term financial stability.
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
by Pedro J. Molina PhD. from Metadev
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines
Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity.
Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
Nashik's top web development company, Upturn India Technologies, crafts innovative digital solutions for your success. Partner with us and achieve your goals
2. University of Stuttgart 2
XSTAMPP
XSTAMPP
XSTAMPP (eXtensible STAMP Platform) is an open-source platform
for safety engineering designed specially to serve the widespread
adoption and use of STAMP methodologies (STPA and CAST) in
different areas. XSTAMPP includes three plug-ins: A-STPA (Automated
tool support for STPA), A-CAST (Automated tool support for A-CAST),
and XSTPA (Extended Approach to STPA). Moreover, XSTAMPP
support automatically transforming the context tables into LTL (Linear
Temporal Logic) formal specifications and generate test cases.
XSTAMPP Citation (Bibtex)
@inproceedings{Abdulkhaleq15,
author = {Asim Abdulkhaleq and Stefan Wagner},
title = {XSTAMPP: An eXtensible STAMP platform as tool support forsafety engineering},
booktitle = {2015 STAMP Workshop, MIT, Boston, USA},
year = {2015}, publisher = {Universität Stuttgart},
URL = {http://elib.uni-stuttgart.de/opus/volltexte/2015/9987},}
3. University of Stuttgart 3
XSTAMPP
Architecture
XSTAMPP Architecture
• XSTAMPP is written in Java based on the Eclipse plug-in
Development Environment and Rich Client Platform.
• Currently, XSTAMPP supports different projects such as:
1. STPA safety analysis
2. CAST accident analysis
3. STPA formal verification and safety-based test cases generation
4. University of Stuttgart 4
License &
RestrictionsLicense & Restrictions
XSTAMPP is an open source platform for safety engineering
based on STPA for software-intensive systems. XSTAMPP is
published under the Eclipse public license. All software is
provided free of charge and will remain free in the future.
5. University of Stuttgart 5
Installation
Guide
Prerequisites
Windows
• Microsoft Windows Vista, 7 or Windows 8;
• Pentium-compatible PC;
• 1024 Mb RAM;
• 1 Gb available hard disk space;
• 1024x768 resolution;
• Install Java Runtime Environment 7 (JDK) or above. If you have Java
already, please check which JDK version do you have.
• Please insure that you have administrator rights of the file setup.exe.
• The Windows zip files can be used without administrator rights.
You can download XSTAMPP from this website:
http://www.xstampp.de/Download.html
Download and Installation Guide
6. University of Stuttgart 6
Installation
Guide
Prerequisites
MAC OS
• Mac OS 10.6 (Snow Leopard) or higher
• PC with Intel processor, 1024 Mb RAM, 1 Gb available hard disk space and
1024x768 resolution.
• Install Java Runtime Environment 7 (JDK) or above. If you have JDK version
already, please check which version do you have from terminal with
command $ Java –version.
• To run XSTAMPP the first time, right-click (control-click) the XSTAMPP.app
icon and choose Open from the context menu.
• You will be asked if you really want to start the program, confirm this to
launch it.
• Some Mac OS versions require the security and privacy rights before
launching any application, therefore you have to give the security and
privacy rights to XSTAMPP.app before launching it from System Preferences
-> Security & Privacy -> Allow apps downloaded from …
Download and Installation Guide
7. University of Stuttgart 7
Installation
Guide
Prerequisites
Linux
• Ubuntu 14.04 or higher.
• PC with Intel processor, 1024 Mb RAM, 1 Gb available hard disk space,
1024x768 resolution
• Java Runtime Environment 7 (JDK) or above. If you have a JDK version
already, please check which version do you have on the terminal with the
command $ Java –version.
Download and Installation Guide
8. University of Stuttgart 8
Using
XSTAMPP
• When you click on the file XSTAMPP.app or XSTAMPP.exe, ,
XSTAMPP will ask there you to set the workspace to save all the
XSTAMPP projects.
Create a Workspace
To hide this window, you can click on the check box
Set the location of the workspace
9. University of Stuttgart 9
Using
XSTAMPP
• A Welcome window will appear at the first time after setting the
location of the workspace. It contains different buttons to manage
the XSTAMPP projects.
Welcome Window
10. University of Stuttgart 10
Using
XSTAMPP
• You can from welcome window manage XSTAMPP projects using
different buttons:
Welcome window functions
Create new XSTAMPP project: STPA or CAST
Load an existing project
into project explorer
Open help contents of
XSTAMPP
Open the preferences to
customize STAMPP
With different configurations
Directly switch to the workbench
of XSTAMPP (main window)
11. University of Stuttgart 11
Using
XSTAMPP
Main Window
• The main window has two sections(project explorer and views
explorer)
Views Explorer
Projects Explorer
12. University of Stuttgart 12
Using
XSTAMPP
Switch Workspace
• We can create different workspaces in XSTAMPP.
• To switch between different workspace, select File -> Switch
Workspace
To create a new workspace, change the name or location
of the current workspace
13. University of Stuttgart 13
Using
XSTAMPP
Help Contents
• XSTAMPP has help contents which explain how to use XSTAMPP
and its plugins
• To open help contents, go to Help Menu -> Help Content
14. University of Stuttgart 14
Using
XSTAMPP
Preferences
• You can customize the XSTAMPP view by setting preferences
• To open the Preferences view, go to Edit Menu -> Preferences
To change the color of
the control structure diagram
To change the export path
And company information
To set the path of XSTPA
plug-ins
15. Thank you!
e-mail
phone +49 (0) 711 685-
fax +49 (0) 711 685-
Universität Stuttgart
Asim Abdulkhaleq, Ph.D Candidate
88 458
88 380
Institute of Software Technology, Software Engineering Group
asim.abdulkhaleq@informatik.uni-stuttgart.de
The slides will be also available at the website www.xstampp.de