The document provides an overview of key concepts related to computer systems, including:
- Hardware components like the CPU, memory, storage devices, and input/output devices and how they interact.
- How digital information is represented and stored using binary numbers.
- Different types of memory like RAM, ROM, and their characteristics.
- Storage media like hard disks, CDs, DVDs and their storage capacities.
- Basic concepts of networks, local area networks, and wide area networks.
- How the Internet developed from ARPANET and became a global network connecting many networks worldwide.
What is Computer, Functionalities of a computer, Computer Components, Hardware, software, Input Devices, Output Devices, CPU (Central Processing Unit), Memory, Unit of Measurements, Classification of Computers, Computer Languages, Generation of Computers, Data, Information and Knowledge, Characteristics of Computer, Computer Viruses,
Java Software Solutions
Foundations of Program Design
Second Edition
by John Lewis and William Loftus
Java Software Solutions is published by Addison-Wesley
Presentation slides are copyright 2000 by John Lewis and William Loftus. All rights reserved.
Instructors using the textbook may use and modify these slides for pedagogical purposes.
What is Computer, Functionalities of a computer, Computer Components, Hardware, software, Input Devices, Output Devices, CPU (Central Processing Unit), Memory, Unit of Measurements, Classification of Computers, Computer Languages, Generation of Computers, Data, Information and Knowledge, Characteristics of Computer, Computer Viruses,
Java Software Solutions
Foundations of Program Design
Second Edition
by John Lewis and William Loftus
Java Software Solutions is published by Addison-Wesley
Presentation slides are copyright 2000 by John Lewis and William Loftus. All rights reserved.
Instructors using the textbook may use and modify these slides for pedagogical purposes.
A presentation on core java. in this ppt there are all the basic informations on the core java suvh as-
Features of Java
Java Program Translation
Java Virtual Machine
Java system overview
Java Program-Development phase
Advantage of java
Disadvantage of java
Project
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Leading Change strategies and insights for effective change management pdf 1.pdf
Ap Power Point Chpt1
1. Chapter 1: Computer Systems Presentation slides for Java Software Solutions for AP* Computer Science by John Lewis, William Loftus, and Cara Cocking Java Software Solutions is published by Addison-Wesley Presentation slides are copyright 2003 by John Lewis, William Loftus, and Cara Cocking. All rights reserved. Instructors using the textbook may use and modify these slides for pedagogical purposes. *AP is a registered trademark of The College Entrance Examination Board which was not involved in the production of, and does not endorse, this product.
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4. CPU and Main Memory Central Processing Unit Chip that executes program commands Intel Pentium 4 or Sun ultraSPARC III Processor Primary storage area for programs and data that are in active use Synonymous with RAM Main Memory
5. Secondary Memory Devices Main Memory Central Processing Unit Secondary memory devices provide long-term storage Information is moved between main memory and secondary memory as needed Hard disks Floppy disks ZIP disks Writable CDs Tapes Floppy Disk Hard Disk
6. Input / Output Devices Main Memory Central Processing Unit I/O devices facilitate user interaction Monitor screen Keyboard Mouse Joystick Bar code scanner Touch screen Monitor Keyboard Floppy Disk Hard Disk
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12. Bit Permutations Each additional bit doubles the number of possible permutations 1 bit 0 1 2 bits 00 01 10 11 3 bits 000 001 010 011 100 101 110 111 4 bits 0000 0001 0010 0011 0100 0101 0110 0111 1000 1001 1010 1011 1100 1101 1110 1111
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15. Memory Main memory is divided into many memory locations (or cells ) 9278 9279 9280 9281 9282 9283 9284 9285 9286 Each memory cell has a numeric address , which uniquely identifies it
16. Storing Information 10011010 9278 9279 9280 9281 9282 9283 9284 9285 9286 Large values are stored in consecutive memory locations Each memory cell stores a set number of bits (usually 8 bits, or one byte )
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30. Local-Area Networks A Local-Area Network (LAN) covers a small distance and a small number of computers A LAN often connects the machines in a single room or building LAN
31. Wide-Area Networks A Wide-Area Network (WAN) connects two or more LANs, often over long distances A LAN usually is owned by one organization, but a WAN often connects groups in different countries LAN LAN
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43. Java Program Structure public class MyProgram { } // comments about the class class header class body Comments can be placed almost anywhere
44. Java Program Structure public class MyProgram { } public static void main (String[] args) { } // comments about the class // comments about the method method header method body
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