This document discusses emerging technologies including 3D printing, augmented reality, artificial intelligence, cloud computing, biometrics, and holographic storage. It describes each technology and its potential uses and impacts. 3D printing allows custom manufacturing and medical applications but has limitations. Higher generation mobile networks like 4G and 5G enable faster data transmission. AI is used in technologies like self-driving cars and digital assistants. Biometrics provide secure authentication through physical traits. The cloud reduces IT costs but raises security and privacy concerns. Holograms could enable 3D imaging and high capacity optical storage.
This document discusses data, information, and knowledge processing. It begins by defining key terms like data, information, knowledge, and how they relate. Data refers to raw unprocessed facts, while information adds context and meaning to data. Knowledge combines information with experience and insight.
It then covers sources of data, distinguishing between static and dynamic sources. Static sources like printed materials change little over time, while dynamic online sources continuously update. Direct sources are from original data collection, while indirect sources use data collected by others. Quality of information is also discussed in terms accuracy, relevance, age, detail level, and completeness.
The document concludes by explaining coding, encoding, and encrypting of data. Coding assigns abbreviations
At a time when the risks and costs associated with privacy are on the rise, differential privacy offers a solution. Differential privacy is mathematical definition for the privacy loss that results to individuals when their private information is used to create an AI product. It can be used to build customer trust, making those customers more likely to share their data with you. This slideshare will help you get a concise explanation of what differential privacy is, how it works, and how you can use it to help your company improve your machine learning models and overcome the cold-start problem.
Digital forensics is the application of science to solve legal problems involving digital evidence. It has emerged since the 1980s as computer crimes have grown. There are challenges to reliability such as standards, controls, and new technologies like cloud and solid state drives. Case studies demonstrate how digital evidence can solve old cases, as with the BTK killer through metadata on a word document. The field faces ongoing challenges but continued research supports its validity in courts of law.
Hardware devices can be categorized as input, output, or storage. Internal hardware includes the central processing unit (CPU), motherboard, random access memory (RAM), read only memory (ROM), graphics card, and sound card. The CPU processes data and runs instructions. The motherboard connects components. RAM stores active programs and data, while ROM permanently stores basic instructions. External devices include monitors, keyboards, mice, printers, and cameras. Storage devices like hard disk drives and solid state drives non-volatile store data on a storage medium.
This document provides an overview of first-order logic in artificial intelligence:
- First-order logic extends propositional logic by adding objects, relations, and functions to represent knowledge. Objects can include people and numbers, while relations include concepts like "brother of" and functions like "father of".
- A sentence in first-order logic contains a predicate and a subject, represented by a variable. For example, "tall(John)" asserts that John is tall. Quantifiers like "forall" and "exists" are used to structure sentences.
- First-order logic contains constants, variables, predicates, functions, connectives, equality, and quantifiers as its basic elements.
The document discusses hard disk drives (HDDs), including their history, components, how data is stored and read, sizes, and their replacement by solid state drives (SSDs). It notes that HDDs contain spinning magnetic platters and a head that reads and writes data by aligning magnetic polarities on the platters. HDDs are found inside computers and connect via cable to the motherboard and power supply. They can store operating systems, programs, files and come in various sizes from hundreds of megabytes to terabytes. Some computers can work without an HDD if booted from another device like a flash drive. SSDs are replacing HDDs due to performance advantages but HDDs remain common due to cost.
This document discusses computer forensic tools and how to evaluate them. It covers the major tasks performed by forensic tools, including acquisition, validation, extraction, reconstruction, and reporting. Acquisition involves making a copy of the original drive, while validation ensures the integrity of copied data. Extraction recovers data through viewing, searching, decompressing, and other methods. Reconstruction recreates a suspect drive. Reporting generates logs and reports on the examination process and findings. The document examines both software and hardware tools, as well as command-line and graphical user interface options. Maintaining and selecting appropriate tools is important for effective computer investigations.
This document provides an overview of topics related to data and analytics for IoT. It discusses structured vs unstructured data, data in motion vs data at rest, and different types of data analysis including descriptive, diagnostic, predictive, and prescriptive. It also covers machine learning techniques including supervised learning methods like regression and classification, as well as unsupervised learning methods like clustering and association. Popular algorithms for each are listed. Challenges of analyzing IoT data like scaling issues and data volatility are also addressed.
This document discusses data, information, and knowledge processing. It begins by defining key terms like data, information, knowledge, and how they relate. Data refers to raw unprocessed facts, while information adds context and meaning to data. Knowledge combines information with experience and insight.
It then covers sources of data, distinguishing between static and dynamic sources. Static sources like printed materials change little over time, while dynamic online sources continuously update. Direct sources are from original data collection, while indirect sources use data collected by others. Quality of information is also discussed in terms accuracy, relevance, age, detail level, and completeness.
The document concludes by explaining coding, encoding, and encrypting of data. Coding assigns abbreviations
At a time when the risks and costs associated with privacy are on the rise, differential privacy offers a solution. Differential privacy is mathematical definition for the privacy loss that results to individuals when their private information is used to create an AI product. It can be used to build customer trust, making those customers more likely to share their data with you. This slideshare will help you get a concise explanation of what differential privacy is, how it works, and how you can use it to help your company improve your machine learning models and overcome the cold-start problem.
Digital forensics is the application of science to solve legal problems involving digital evidence. It has emerged since the 1980s as computer crimes have grown. There are challenges to reliability such as standards, controls, and new technologies like cloud and solid state drives. Case studies demonstrate how digital evidence can solve old cases, as with the BTK killer through metadata on a word document. The field faces ongoing challenges but continued research supports its validity in courts of law.
Hardware devices can be categorized as input, output, or storage. Internal hardware includes the central processing unit (CPU), motherboard, random access memory (RAM), read only memory (ROM), graphics card, and sound card. The CPU processes data and runs instructions. The motherboard connects components. RAM stores active programs and data, while ROM permanently stores basic instructions. External devices include monitors, keyboards, mice, printers, and cameras. Storage devices like hard disk drives and solid state drives non-volatile store data on a storage medium.
This document provides an overview of first-order logic in artificial intelligence:
- First-order logic extends propositional logic by adding objects, relations, and functions to represent knowledge. Objects can include people and numbers, while relations include concepts like "brother of" and functions like "father of".
- A sentence in first-order logic contains a predicate and a subject, represented by a variable. For example, "tall(John)" asserts that John is tall. Quantifiers like "forall" and "exists" are used to structure sentences.
- First-order logic contains constants, variables, predicates, functions, connectives, equality, and quantifiers as its basic elements.
The document discusses hard disk drives (HDDs), including their history, components, how data is stored and read, sizes, and their replacement by solid state drives (SSDs). It notes that HDDs contain spinning magnetic platters and a head that reads and writes data by aligning magnetic polarities on the platters. HDDs are found inside computers and connect via cable to the motherboard and power supply. They can store operating systems, programs, files and come in various sizes from hundreds of megabytes to terabytes. Some computers can work without an HDD if booted from another device like a flash drive. SSDs are replacing HDDs due to performance advantages but HDDs remain common due to cost.
This document discusses computer forensic tools and how to evaluate them. It covers the major tasks performed by forensic tools, including acquisition, validation, extraction, reconstruction, and reporting. Acquisition involves making a copy of the original drive, while validation ensures the integrity of copied data. Extraction recovers data through viewing, searching, decompressing, and other methods. Reconstruction recreates a suspect drive. Reporting generates logs and reports on the examination process and findings. The document examines both software and hardware tools, as well as command-line and graphical user interface options. Maintaining and selecting appropriate tools is important for effective computer investigations.
This document provides an overview of topics related to data and analytics for IoT. It discusses structured vs unstructured data, data in motion vs data at rest, and different types of data analysis including descriptive, diagnostic, predictive, and prescriptive. It also covers machine learning techniques including supervised learning methods like regression and classification, as well as unsupervised learning methods like clustering and association. Popular algorithms for each are listed. Challenges of analyzing IoT data like scaling issues and data volatility are also addressed.
Data recovery tools can salvage inaccessible, lost, corrupted, or formatted data from storage devices. The document discusses five data recovery tools: Recuva, which can deeply scan drives to recover deleted files; WinHex, a full-featured disk editor and forensics tool; EaseUS Data Recovery Wizard, designed as an all-in-one solution to recover accidentally deleted, lost, or virus-corrupted files; Disk Drill, which recovers files from various storage devices and file systems; and Data Recovery Wizard, which can recover deleted, formatted, or corrupted data with a free 2GB version.
This presentation represents an introduction to computer. I used every beginning lecture in my courses "Instructional Technology" and "Computer Fundamentals and its Applications".
chapter 6 Ethics and Professionalism of ET.pptxAmanuelZewdie4
This document discusses ethics and emerging technologies. It begins by outlining learning objectives related to linking ethics and technology, ethical questions, digital privacy, and accountability. It then discusses how technology can impact human rights and how ethics is important for accountancy. New ethical questions raised by technologies like AI are explored, such as potential bias and discrimination. General ethical principles, professional responsibilities, and leadership principles are provided. The document defines digital, information, communication, and individual privacy. It discusses the importance of accountability and trust when using emerging technologies. Finally, it identifies threats and challenges of technologies like counterterrorism tools, surveillance, robotics, the internet of things, and big data.
Network forensics involves collecting and analyzing network data and traffic to determine how attacks occur. It is important to establish standard forensic procedures and know normal network traffic patterns to detect variations. Tools like packet analyzers, Sysinternals, and honeypots can help monitor traffic and identify intrusions. The Honeynet Project aims to increase security awareness by observing new attacker techniques.
Security and Privacy of Machine LearningPriyanka Aash
Machine learning is a powerful new tool that can be used for security applications (for example, to detect malware) but machine learning itself introduces many new attack surfaces. For example, attackers can control the output of machine learning models by manipulating their inputs or training data. In this session, I give an overview of the emerging field of machine learning security and privacy.
Learning Objectives:
1: Learn about vulnerabilities of machine learning.
2: Explore existing defense techniques (differential privacy).
3: Understand opportunities to join research effort to make new defenses.
(Source: RSA Conference USA 2018)
IT Helpdesk Monthly Report 2014-07.pptxssuser1fd96c
This document provides summaries of IT helpdesk and hotline reports for Asia Pacific in 2014.07. It includes statistics on call volumes, ticket volumes, response and resolution rates, top issues, and user satisfaction scores. Call volumes were highest in March and ticket volumes peaked in July. Over 95% of calls were answered within 40 seconds and under 4% of calls went unanswered. Over 75% of tickets were closed within 48 hours. User satisfaction with the IT helpdesk remained high, averaging above 4.4 out of 5.
This document provides an overview of cyber forensics. It introduces Ambuj Kumar, a cyber security analyst, and discusses topics like the cyber forensics process, goals of forensics investigations, how computers are used in cybercrimes, types of investigations and evidence, challenges in acquiring evidence, roles of first responders, locations of electronic evidence, the chain of custody process, and techniques like hashing, write protection, and analyzing deleted data.
Mini Project on Data Encryption & Decryption in JAVAchovatiyabhautik
This document is a report on a data encryption and decryption project written by Bhautik Chovatiya for a computer networks course. The report provides an introduction to the need for data encryption, describes the project requirements and design. It also includes screenshots and code snippets demonstrating how the project allows users to encrypt and decrypt data either directly or from files using Caesar cipher encryption. The project aims to provide secure encryption in a simple and user-friendly way.
This document provides an overview of email forensics techniques and tools used in network forensics investigations. It discusses the typical architecture of email systems and protocols like SMTP, POP, and IMAP. Key points covered include email headers, the information contained in Received headers, and how an email travels from sender to recipient through various mail servers. Spoofing emails is also briefly explained. The document aims to introduce investigators to analyzing email evidence at different layers of the network and tools needed for forensic analysis of email messages and server logs.
Constraint satisfaction problems (CSPs) involve assigning values to variables from given domains so that all constraints are satisfied. CSPs provide a general framework that can model many combinatorial problems. A CSP is defined by variables that take values from domains, and constraints specifying allowed value combinations. Real-world CSPs include scheduling, assignment problems, timetabling, mapping coloring and puzzles. Examples provided include cryptarithmetic, Sudoku, 4-queens, and graph coloring.
COMPUTER LAW, INVESTIGATION AND ETHICS DOMAINamiable_indian
The document discusses computer law, investigations, and ethics. It covers reviewing computer crime laws and regulations, investigative techniques for determining if a crime was committed and gathering evidence, and ethical constraints. Specific topics covered include computer laws, computer crime, computer crime investigations, and computer ethics. Computer crime laws at both the federal and state levels are discussed.
The document provides an overview of key concepts in ICT including computer systems, hardware, software, input/output devices, storage, networks, and the system development life cycle. It defines the main components of a computer system as hardware, software, and data. It describes common hardware such as motherboards, storage, and I/O devices. It also outlines different types of software including operating systems and applications. The document then discusses storage units, media, and backup methods. It concludes with a review of networks, communication methods, and the stages in the system development life cycle.
Fixed hard disks are used for storing operating systems and applications on a computer. They have high access speeds and storage capacities but cannot be removed from the computer. Portable hard disks can store large files and transfer them between computers, but can be easily stolen. Magnetic tapes provide extremely large storage capacities for backups but have slow access speeds. Optical disks like CDs and DVDs are used to distribute software, movies and files but have slower data rates than hard disks. Solid state storage like memory sticks are small, robust and portable but have lower capacity and speeds than hard disks. Backups protect against data loss by making copies of files and storing them separately from the originals.
The document describes the basic components and functions of a computer system. It explains that the monitor displays visual output, while the CPU contains the computer's processor and can be in desktop or tower cases. The document outlines different input devices like keyboards, mice, scanners, and their functions. It also discusses internal memory components like RAM and ROM that help the CPU process and store information, as well as long-term storage devices like hard disk drives. Finally, it mentions that the motherboard coordinates communication between all computer components and is essential to the computer's operation.
Incident response methodology involves responding to and managing cyber attacks through investigation, containment, eradication, recovery and lessons learned. A well-developed incident response plan is needed to minimize damage from attacks and data breaches, and recover as quickly as possible. Key aspects of incident response include detecting incidents, formulating response strategies, investigating through data collection and forensic analysis, and reporting findings. The goal is to understand attack methods and prevent future incidents.
AI shows promise to help address challenges in cybersecurity by automating tasks, enhancing human abilities, and detecting complex patterns that humans cannot. However, developing effective AI solutions is difficult and requires expertise in both cybersecurity and data science. When evaluating AI products, organizations should consider factors like data and training requirements, error rates, integration with existing tools and processes, and potential new risks introduced. While AI may help alleviate strain on security teams, its use is still nascent, and human oversight will likely remain important.
Types of Computer Forensics Technology, Types of Military Computer Forensic Technology, Types of Law Enforcement, Computer Forensic Technology, Types of Business Computer Forensic Technology, Specialized Forensics Techniques, Hidden Data and How to Find It, Spyware and Adware, Encryption Methods and Vulnerabilities, Protecting Data from Being Compromised Internet Tracing Methods, Security and Wireless Technologies, Avoiding Pitfalls with Firewalls Biometric Security Systems
The document discusses different types of knowledge that may need to be represented in AI systems, including objects, events, performance, and meta-knowledge. It also discusses representing knowledge at two levels: the knowledge level containing facts, and the symbol level containing representations of objects defined in terms of symbols. Common ways of representing knowledge mentioned include using English, logic, relations, semantic networks, frames, and rules. The document also discusses using knowledge for applications like learning, reasoning, and different approaches to machine learning such as skill refinement, knowledge acquisition, taking advice, problem solving, induction, discovery, and analogy.
This document summarizes key topics from Chapter 3 of Principles of Information Security, including:
- The relationship between laws, regulations, and professional organizations in information security.
- The differences between laws and ethics and how they regulate behavior.
- Major US laws affecting information security practice, including privacy laws like HIPAA and GLB.
- How information security practitioners must understand the current legal environment to minimize risks and liabilities for their organizations.
The document discusses processing devices and central processing units (CPUs). It describes a CPU as having three main parts: registers that hold information for processing, an arithmetic logic unit (ALU) that performs calculations and comparisons, and a control unit that directs the system. The document outlines the evolution of CPUs from early chips like the Intel 4004 to modern multi-core processors. Buses connect the CPU and memory to transfer data and instructions for processing.
The IoT Food Chain – Picking the Right Dining Partner is Important with Dean ...gogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
The IoT Food Chain – Picking the Right Dining Partner is Important as presented at the IoT Inc Business' fourteenth Meetup. See: http://www.iot-inc.com/internet-of-things-value-chain-meetup/
In our fourteenth Meetup we have Dean Freeman, Research VP at Gartner presenting “The IoT Food Chain – Picking the Right Dining Partner is Important”.
Presentation Abstract
The Internet of Things means many different things to different people. What is key about the IoT is there is a distinct food chain that runs from the silicon devices to the services and then back. The level of success you will have in the IoT is heavily dependent upon where you fit in the food chain, and if you have the capability to move up the chain or across the chain into different verticals. In this presentation we will explore the food chain, what is important and what steps need to be taken to succeed in the world of the IoT.
5G and edge computing - CORAL perspectiveRichard Scott
Charles Turyagyenda from InterDigital Europe Ltd presented an overview of the opportunities and technical aspects of 5G edge computing at the first of Digital Catapult Centre Brighton's 5G workshops. These workshops were designed to raised awareness of the opportunities and features of 5G within small digital businesses, as well as identifying potential use cases to be take forward to be explored within the National 5G testbed for digital businesses in Brighton.
We are inviting small digital businesses to get in contact to discuss how they might exploit the 5G testbed. If you are interested in how you might do so please email digicatbrighton@wiredsussex.com
Data recovery tools can salvage inaccessible, lost, corrupted, or formatted data from storage devices. The document discusses five data recovery tools: Recuva, which can deeply scan drives to recover deleted files; WinHex, a full-featured disk editor and forensics tool; EaseUS Data Recovery Wizard, designed as an all-in-one solution to recover accidentally deleted, lost, or virus-corrupted files; Disk Drill, which recovers files from various storage devices and file systems; and Data Recovery Wizard, which can recover deleted, formatted, or corrupted data with a free 2GB version.
This presentation represents an introduction to computer. I used every beginning lecture in my courses "Instructional Technology" and "Computer Fundamentals and its Applications".
chapter 6 Ethics and Professionalism of ET.pptxAmanuelZewdie4
This document discusses ethics and emerging technologies. It begins by outlining learning objectives related to linking ethics and technology, ethical questions, digital privacy, and accountability. It then discusses how technology can impact human rights and how ethics is important for accountancy. New ethical questions raised by technologies like AI are explored, such as potential bias and discrimination. General ethical principles, professional responsibilities, and leadership principles are provided. The document defines digital, information, communication, and individual privacy. It discusses the importance of accountability and trust when using emerging technologies. Finally, it identifies threats and challenges of technologies like counterterrorism tools, surveillance, robotics, the internet of things, and big data.
Network forensics involves collecting and analyzing network data and traffic to determine how attacks occur. It is important to establish standard forensic procedures and know normal network traffic patterns to detect variations. Tools like packet analyzers, Sysinternals, and honeypots can help monitor traffic and identify intrusions. The Honeynet Project aims to increase security awareness by observing new attacker techniques.
Security and Privacy of Machine LearningPriyanka Aash
Machine learning is a powerful new tool that can be used for security applications (for example, to detect malware) but machine learning itself introduces many new attack surfaces. For example, attackers can control the output of machine learning models by manipulating their inputs or training data. In this session, I give an overview of the emerging field of machine learning security and privacy.
Learning Objectives:
1: Learn about vulnerabilities of machine learning.
2: Explore existing defense techniques (differential privacy).
3: Understand opportunities to join research effort to make new defenses.
(Source: RSA Conference USA 2018)
IT Helpdesk Monthly Report 2014-07.pptxssuser1fd96c
This document provides summaries of IT helpdesk and hotline reports for Asia Pacific in 2014.07. It includes statistics on call volumes, ticket volumes, response and resolution rates, top issues, and user satisfaction scores. Call volumes were highest in March and ticket volumes peaked in July. Over 95% of calls were answered within 40 seconds and under 4% of calls went unanswered. Over 75% of tickets were closed within 48 hours. User satisfaction with the IT helpdesk remained high, averaging above 4.4 out of 5.
This document provides an overview of cyber forensics. It introduces Ambuj Kumar, a cyber security analyst, and discusses topics like the cyber forensics process, goals of forensics investigations, how computers are used in cybercrimes, types of investigations and evidence, challenges in acquiring evidence, roles of first responders, locations of electronic evidence, the chain of custody process, and techniques like hashing, write protection, and analyzing deleted data.
Mini Project on Data Encryption & Decryption in JAVAchovatiyabhautik
This document is a report on a data encryption and decryption project written by Bhautik Chovatiya for a computer networks course. The report provides an introduction to the need for data encryption, describes the project requirements and design. It also includes screenshots and code snippets demonstrating how the project allows users to encrypt and decrypt data either directly or from files using Caesar cipher encryption. The project aims to provide secure encryption in a simple and user-friendly way.
This document provides an overview of email forensics techniques and tools used in network forensics investigations. It discusses the typical architecture of email systems and protocols like SMTP, POP, and IMAP. Key points covered include email headers, the information contained in Received headers, and how an email travels from sender to recipient through various mail servers. Spoofing emails is also briefly explained. The document aims to introduce investigators to analyzing email evidence at different layers of the network and tools needed for forensic analysis of email messages and server logs.
Constraint satisfaction problems (CSPs) involve assigning values to variables from given domains so that all constraints are satisfied. CSPs provide a general framework that can model many combinatorial problems. A CSP is defined by variables that take values from domains, and constraints specifying allowed value combinations. Real-world CSPs include scheduling, assignment problems, timetabling, mapping coloring and puzzles. Examples provided include cryptarithmetic, Sudoku, 4-queens, and graph coloring.
COMPUTER LAW, INVESTIGATION AND ETHICS DOMAINamiable_indian
The document discusses computer law, investigations, and ethics. It covers reviewing computer crime laws and regulations, investigative techniques for determining if a crime was committed and gathering evidence, and ethical constraints. Specific topics covered include computer laws, computer crime, computer crime investigations, and computer ethics. Computer crime laws at both the federal and state levels are discussed.
The document provides an overview of key concepts in ICT including computer systems, hardware, software, input/output devices, storage, networks, and the system development life cycle. It defines the main components of a computer system as hardware, software, and data. It describes common hardware such as motherboards, storage, and I/O devices. It also outlines different types of software including operating systems and applications. The document then discusses storage units, media, and backup methods. It concludes with a review of networks, communication methods, and the stages in the system development life cycle.
Fixed hard disks are used for storing operating systems and applications on a computer. They have high access speeds and storage capacities but cannot be removed from the computer. Portable hard disks can store large files and transfer them between computers, but can be easily stolen. Magnetic tapes provide extremely large storage capacities for backups but have slow access speeds. Optical disks like CDs and DVDs are used to distribute software, movies and files but have slower data rates than hard disks. Solid state storage like memory sticks are small, robust and portable but have lower capacity and speeds than hard disks. Backups protect against data loss by making copies of files and storing them separately from the originals.
The document describes the basic components and functions of a computer system. It explains that the monitor displays visual output, while the CPU contains the computer's processor and can be in desktop or tower cases. The document outlines different input devices like keyboards, mice, scanners, and their functions. It also discusses internal memory components like RAM and ROM that help the CPU process and store information, as well as long-term storage devices like hard disk drives. Finally, it mentions that the motherboard coordinates communication between all computer components and is essential to the computer's operation.
Incident response methodology involves responding to and managing cyber attacks through investigation, containment, eradication, recovery and lessons learned. A well-developed incident response plan is needed to minimize damage from attacks and data breaches, and recover as quickly as possible. Key aspects of incident response include detecting incidents, formulating response strategies, investigating through data collection and forensic analysis, and reporting findings. The goal is to understand attack methods and prevent future incidents.
AI shows promise to help address challenges in cybersecurity by automating tasks, enhancing human abilities, and detecting complex patterns that humans cannot. However, developing effective AI solutions is difficult and requires expertise in both cybersecurity and data science. When evaluating AI products, organizations should consider factors like data and training requirements, error rates, integration with existing tools and processes, and potential new risks introduced. While AI may help alleviate strain on security teams, its use is still nascent, and human oversight will likely remain important.
Types of Computer Forensics Technology, Types of Military Computer Forensic Technology, Types of Law Enforcement, Computer Forensic Technology, Types of Business Computer Forensic Technology, Specialized Forensics Techniques, Hidden Data and How to Find It, Spyware and Adware, Encryption Methods and Vulnerabilities, Protecting Data from Being Compromised Internet Tracing Methods, Security and Wireless Technologies, Avoiding Pitfalls with Firewalls Biometric Security Systems
The document discusses different types of knowledge that may need to be represented in AI systems, including objects, events, performance, and meta-knowledge. It also discusses representing knowledge at two levels: the knowledge level containing facts, and the symbol level containing representations of objects defined in terms of symbols. Common ways of representing knowledge mentioned include using English, logic, relations, semantic networks, frames, and rules. The document also discusses using knowledge for applications like learning, reasoning, and different approaches to machine learning such as skill refinement, knowledge acquisition, taking advice, problem solving, induction, discovery, and analogy.
This document summarizes key topics from Chapter 3 of Principles of Information Security, including:
- The relationship between laws, regulations, and professional organizations in information security.
- The differences between laws and ethics and how they regulate behavior.
- Major US laws affecting information security practice, including privacy laws like HIPAA and GLB.
- How information security practitioners must understand the current legal environment to minimize risks and liabilities for their organizations.
The document discusses processing devices and central processing units (CPUs). It describes a CPU as having three main parts: registers that hold information for processing, an arithmetic logic unit (ALU) that performs calculations and comparisons, and a control unit that directs the system. The document outlines the evolution of CPUs from early chips like the Intel 4004 to modern multi-core processors. Buses connect the CPU and memory to transfer data and instructions for processing.
The IoT Food Chain – Picking the Right Dining Partner is Important with Dean ...gogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
The IoT Food Chain – Picking the Right Dining Partner is Important as presented at the IoT Inc Business' fourteenth Meetup. See: http://www.iot-inc.com/internet-of-things-value-chain-meetup/
In our fourteenth Meetup we have Dean Freeman, Research VP at Gartner presenting “The IoT Food Chain – Picking the Right Dining Partner is Important”.
Presentation Abstract
The Internet of Things means many different things to different people. What is key about the IoT is there is a distinct food chain that runs from the silicon devices to the services and then back. The level of success you will have in the IoT is heavily dependent upon where you fit in the food chain, and if you have the capability to move up the chain or across the chain into different verticals. In this presentation we will explore the food chain, what is important and what steps need to be taken to succeed in the world of the IoT.
5G and edge computing - CORAL perspectiveRichard Scott
Charles Turyagyenda from InterDigital Europe Ltd presented an overview of the opportunities and technical aspects of 5G edge computing at the first of Digital Catapult Centre Brighton's 5G workshops. These workshops were designed to raised awareness of the opportunities and features of 5G within small digital businesses, as well as identifying potential use cases to be take forward to be explored within the National 5G testbed for digital businesses in Brighton.
We are inviting small digital businesses to get in contact to discuss how they might exploit the 5G testbed. If you are interested in how you might do so please email digicatbrighton@wiredsussex.com
https://www.learntek.org/blog/top-10-technology-trends-in-2019/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
This document discusses a wireless home automation system using the Internet of Things (IoT). It begins with an abstract that defines IoT as connecting physical devices to the internet to collect and share data. It then discusses how home automation is gaining popularity due to advances in automation technology and the widespread use of the internet. A wireless home automation system using IoT allows users to control home functions and appliances remotely using computers or smartphones. The system aims to reduce energy usage and human effort. Key advantages of a wireless system over wired include lower cost, easier expansion, and the ability to integrate mobile devices.
Testing the Next Generation of Technologies: IoT, Mobile, and Cloud … Oh My!TechWell
Testing technology, tools, and methods are always playing catch up with the latest—and the next greatest—consumer and business applications and software-intensive products. Now with IoT, mobile, and the cloud, almost EVERY new product has a software testing aspect. Costa Avradopoulos explores the bewildering challenges and recent trends in testing IoT, mobile, and cloud applications. He outlines the necessary elements of test strategy for each of these technologies: building a test lab, test coverage, test data, test management, tools, and automation. Bringing it all together with a practical example, Costa walks you through a recent, large project Fortune 500 company case study that entailed a mobile enterprise app, an IoT solution for embedded devices, and a cloud-based application for dashboards and analytics. Learn about their real project challenges and how they addressed nuances of IoT, mobile, cloud for testing. Take back a blueprint with sample frameworks and methodologies for designing a world-class, multi-technology test environment.
This document discusses Internet of Things (IoT) technology. It provides an overview of what IoT is, noting that it involves connecting devices to the internet to transfer data without human interaction. It then discusses some of the key issues around IoT, including security challenges and the need for protocols like OTrP to help protect connected devices. It also briefly summarizes some industry perspectives on IoT spending trends and how companies like IBM, GE, and others are applying IoT technology.
This document contains information about various topics in emerging technologies including IoT, cloud computing, artificial intelligence, and 5G. It provides definitions and key details about each topic. For IoT, it defines IoT, discusses how it works and some advantages and applications. For cloud computing, it defines the three primary models of cloud computing - IaaS, PaaS, and SaaS - and provides examples. It also discusses the types of cloud deployment. For AI, it defines AI and discusses some of its subfields like machine learning, neural networks, and computer vision. It provides advantages of AI. For 5G, it defines 5G as the next generation of wireless and discusses some of its expected capabilities and draw
The document discusses key issues around developing standards and building blocks for the Internet of Things (IoT). It describes different IoT architectural models including device-to-device, device-to-cloud, and device-to-gateway. Each model has advantages but also pain points like a lack of interoperability between vendors. The document advocates for common information models and standards to improve interoperability and allow different IoT components to work together. It raises open questions around what level of interaction between devices and components should be mandated by standards.
"Toward Cognitive-IoT Applications -- Integrating AI with Fog Computing" by Dr. Frank C. D. Tsai, Workshop of Mobile IoT with Edge Computing and Artificial Intelligence, sponsored by Ministry of Education, Taiwan
The document discusses various ways that airlines and airports are using Internet of Things (IoT) technologies. Some examples provided include EasyJet using wearable tech uniforms with sensors and communications abilities, Helsinki airport using beacons and sensors to track passenger locations and provide customized services, and Virgin Atlantic equipping its planes with sensors on all components to monitor performance and maintenance needs in real-time. Overall the document outlines 10 examples of how IoT is enhancing aviation operations and the passenger experience.
A PowerPoint presentation on internet of things and how it can be used to enhance supply chain management.
This was an presentation made for GT Nexus engineering team at Infor. You are not authorized to use the company logo or any other content related to the company.
With the invention of new Li-fi technology, you will soon find light bulbs of your car, light lamps in your room, lights in subway, flashlight of your mobile and any other light source are providing you internet access at very high speed.Li-fi technology is the another milestone in the history of information technology. You have got the idea that Li-Fi Technology is something light. Yes, Li-fi technology or light-fidelity technology transmits data wirelessly at high speeds with the use of light emitting diodes.
The document provides an overview of the Internet of Things (IoT) with the following key points:
1. The IoT connects physical devices to the internet and is much larger in scale than previous internet trends, allowing devices to communicate without human intervention.
2. For the IoT to reach its full potential, standards such as IPv6 must be adopted to provide enough addresses for billions of connected devices.
3. Security is a major challenge as more devices connect without oversight, opening opportunities for hackers to access private information from home cameras and other connected appliances.
4. While the IoT is already emerging, widespread adoption by enterprises will still take 5 years as standards and security issues are addressed, though
With customer interest in the Internet of Things (IoT) growing, ICT identified an opportunity to create a single end-to-end solution which bundles the software, communication infrastructure, data analytics, and business apps of
an IoT deployment into a single platform. Bringing together ICT’s software, apps, and cloud expertise and the Intel® IoT Gateway, the resulting Internet of Things Analytics* (iOTA)* solution reduces costs and deployment time for IoT solutions.
The Most Definitive guide to Industrial IoT ImplementationAditya Basu
Industrial IoT has the potential of USD 15.3 trillion to the global economy by 2030 subjected to an improvement of 1-1.5%. Industrial Internet is a revolutionary technology that enhances the Industrial environment with the IoT capabilities. IIoT helps to solve the bottlenecks in the business environment, provides operational efficiency, increases productivity and reduces the complexity of the process.
The main benefit of Industrial IoT is the connected enterprise that enhances the visibility across various departments and benefits with a smooth workflow. According to General Electric CEO, Jeff Immelt, IIoT has twice the market potential than that of the consumer IoT.
In this Guide you will know everything about
a) The Connected Factory! Role of IIoT
b) Evolution of IIoT to Industry 4.0
c) Industrial IoT Ecosystem
d) Value Chain Players today and what you can learn from them
e) How IIoT is Different from IoT
f) Technology Drivers and Adoption
g) Market Indicators and why you should jump the Bandwagon NOW!
h) Market Revenues and Areas of Focus
i) The Digitization Wave
j) Real World Industrial IoT Case Studies Including Solutions & Outcomes
Billions of interconnected devices that are connected to the internet in the IoT (Internet of Things) will produce astronomical amount of data to process. The amount of data can easily overload the cloud computing resources at the back-end IT systems. With Fog (or Edge) computing, the problem can be eased by allowing smart devices (e.g., smartphones, PCs, set-top boxes) at the edge of the IoT networks.
The document discusses the technological environment and how technology impacts business. It defines technology and technological environment. It describes different types of technologies including hard/soft technology and labor-intensive/capital-intensive technology. It discusses how the pace of technological changes can impact industries by making them obsolete, rejuvenating them, or creating new industries. It also discusses technological transfer, the impact of technology on business including positive and negative effects, and examples of technologies affecting Starbucks.
Emerging & Enabling Technologies event, 19 September 17 - presentation by Gar...Invest Northern Ireland
This document provides information about an Innovate UK briefing event on emerging and enabling technologies competitions. It summarizes that Innovate UK will invest up to £15 million in innovative projects in emerging and enabling technologies areas, including digital technologies, electronics, sensors and photonics, robotics and autonomous systems, and space applications. It also provides examples of projects involving Seagate collecting manufacturing data, the Horizon 2020 SAFEcrypto project providing post-quantum cryptographic solutions, and the 3DEO project implementing faster collection and understanding of imagery data using virtual and augmented reality.
IIoT : Real-time Decision-making is Enabled Through Real-time MonitoringInfyiot Solutions
The Industrial Internet of Things (IIoT) is a network of interconnected devices that allows industrial businesses to make more informed business choices more quickly by monitoring, collecting, exchanging, and analyzing data. Applying IIoT concepts to industrial business challenges has enormous advantages because even a slight gain in productivity, capital expenditure, or asset allocation results in large cost savings and/or revenue growth. In the sections below, we examine two typical use cases for IIoT monitoring solutions and the related real-world examples.
TIC-TOC: How to Safely Send People Back to Work in an Office SettingSaraPia5
Telarus Senior Sales Engineer, Ladd Wimmer, along with Chris Estes from AT&T, and Rich Berliner from Connected Real Estate Magazine. As businesses start to open up again and bring employees back to normal operations there is still a huge concern about the safety of employees. Chris, Rich, and Ladd will talk through solutions in the Video Intelligence space that will help business get back to the new normal safely. This includes thermal imaging, social distancing and occupancy solutions for your customers. This is a must see to help your customers get back to business
Similar to 9626 GCE A2 Information Technology Chapter 11 (20)
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
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By Dr. Vinod Kumar Kanvaria
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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