5.0 pervasive computing
•Download as RTF, PDF•
0 likes•410 views
Pervasive computing refers to technology becoming embedded in everyday devices and having constant connectivity. It involves computers becoming smaller and more powerful, allowing chips and software to be embedded in many objects from clothing to homes. The goal is to create a constantly connected environment where devices seamlessly interact without obstructing the user. Examples include smartphones, which are mobile phones with operating systems and apps, and personal digital assistants (PDAs), which are handheld computers that can also function as mobile phones, web browsers and media players by connecting to wireless networks.
Report
Share
Report
Share
Recommended
Pervasive Computing - Let us Pervade our Future
Pervasive Computing or Ubiquitous computing is one of the latest trends in computing. Get to know the principles, mechanism and the possible applications of pervasive computing. Come, let us pervade our future.
The evolution of pervasive computing towards a Web of Things
This presentation observes and describes the evolution of pervasive computing towards a global, real-time digital web of physical objects and everyday things. Applications in real life are presented, together with future challenges and projections.
Pervasive computing
Pervasive computing involves embedding microprocessors everywhere to enable computing capabilities anywhere. It aims to make computing available wherever needed by spreading intelligence and connectivity. Pervasive computing evolved from distributed and mobile computing through technologies like smart spaces, invisibility, and local scalability. It is characterized by physical integration between computing nodes and the world, and devices spontaneously interoperating as environments change. Examples of pervasive computing applications include intelligent cars that sense conditions and adaptive displays. While pervasive computing creates an anytime, anywhere experience across any device or network, it also faces challenges regarding devices, software, users, and interfaces. Pervasive computing is considered the next phase of computer science.
Pervasive Computing
The document discusses pervasive computing, which refers to microprocessors being embedded everywhere and computing being available anywhere. It is enabled by technologies like mobile internet access, wireless communication, and Bluetooth. Pervasive computing allows access from any device, on any network, with any data. It aims to spread intelligence and connectivity to more or less everything, from ships and aircrafts to coffee mugs and the human body. Some principles of pervasive computing include anytime/anywhere access, physical integration between computing nodes and the physical world, and instantaneous interoperation between devices. Examples of applications include smart clothing, interactive flexible posters, and pill cameras.
Pervasive Computing Applications And Its Security Issues & Challenges
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Pervasive Computing
This document discusses pervasive computing, which involves embedding microprocessors in everyday objects to allow ubiquitous communication and sharing of digital information. Key points include:
- Pervasive computing aims to make technologies seamlessly integrated into daily life through miniaturized, networked "smart objects".
- It builds upon distributed and mobile computing trends towards constant connectivity anywhere.
- Major challenges include scaling the technology as more devices connect, integrating heterogeneous systems, and ensuring user privacy and interface invisibility.
- Research initiatives like Oxygen, Aura and Cooltown aim to advance this vision of ambient intelligence through objects and environments that are responsive to human needs.
Pervasive Computing: Vision and Challenges
Slides by Raquel Salcedo Gomes
For the English for Specific Purposes class at the IT technical course at IFSUL, campus Sapucaia do Sul. September 2017.
pervasive computing
This document discusses pervasive computing, which refers to embedding microprocessors into everyday objects to make computing available anywhere. It defines pervasive computing, describes its architecture and principles, compares it to ubiquitous computing, and discusses related fields, applications, benefits, limitations, and future directions. Pervasive computing aims to spread intelligence and connectivity through mobile devices, sensors, and other embedded technologies. It will continue affecting more people as networking allows intelligent objects to communicate and share information.
Recommended
Pervasive Computing - Let us Pervade our Future
Pervasive Computing or Ubiquitous computing is one of the latest trends in computing. Get to know the principles, mechanism and the possible applications of pervasive computing. Come, let us pervade our future.
The evolution of pervasive computing towards a Web of Things
This presentation observes and describes the evolution of pervasive computing towards a global, real-time digital web of physical objects and everyday things. Applications in real life are presented, together with future challenges and projections.
Pervasive computing
Pervasive computing involves embedding microprocessors everywhere to enable computing capabilities anywhere. It aims to make computing available wherever needed by spreading intelligence and connectivity. Pervasive computing evolved from distributed and mobile computing through technologies like smart spaces, invisibility, and local scalability. It is characterized by physical integration between computing nodes and the world, and devices spontaneously interoperating as environments change. Examples of pervasive computing applications include intelligent cars that sense conditions and adaptive displays. While pervasive computing creates an anytime, anywhere experience across any device or network, it also faces challenges regarding devices, software, users, and interfaces. Pervasive computing is considered the next phase of computer science.
Pervasive Computing
The document discusses pervasive computing, which refers to microprocessors being embedded everywhere and computing being available anywhere. It is enabled by technologies like mobile internet access, wireless communication, and Bluetooth. Pervasive computing allows access from any device, on any network, with any data. It aims to spread intelligence and connectivity to more or less everything, from ships and aircrafts to coffee mugs and the human body. Some principles of pervasive computing include anytime/anywhere access, physical integration between computing nodes and the physical world, and instantaneous interoperation between devices. Examples of applications include smart clothing, interactive flexible posters, and pill cameras.
Pervasive Computing Applications And Its Security Issues & Challenges
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Pervasive Computing
This document discusses pervasive computing, which involves embedding microprocessors in everyday objects to allow ubiquitous communication and sharing of digital information. Key points include:
- Pervasive computing aims to make technologies seamlessly integrated into daily life through miniaturized, networked "smart objects".
- It builds upon distributed and mobile computing trends towards constant connectivity anywhere.
- Major challenges include scaling the technology as more devices connect, integrating heterogeneous systems, and ensuring user privacy and interface invisibility.
- Research initiatives like Oxygen, Aura and Cooltown aim to advance this vision of ambient intelligence through objects and environments that are responsive to human needs.
Pervasive Computing: Vision and Challenges
Slides by Raquel Salcedo Gomes
For the English for Specific Purposes class at the IT technical course at IFSUL, campus Sapucaia do Sul. September 2017.
pervasive computing
This document discusses pervasive computing, which refers to embedding microprocessors into everyday objects to make computing available anywhere. It defines pervasive computing, describes its architecture and principles, compares it to ubiquitous computing, and discusses related fields, applications, benefits, limitations, and future directions. Pervasive computing aims to spread intelligence and connectivity through mobile devices, sensors, and other embedded technologies. It will continue affecting more people as networking allows intelligent objects to communicate and share information.
Pervasive computing
This document discusses pervasive computing in healthcare. It defines pervasive computing as computing that is available everywhere through tiny microprocessors embedded in everyday objects. In healthcare, pervasive computing involves continuous health monitoring using biosensors, smart home technologies, and networks. This allows for more proactive healthcare by providing doctors with more health data. Examples of pervasive computing in healthcare include biosensors that detect infectious diseases and personal digital assistants used by doctors for portability, easy access to data, and low costs.
Pervasive computing
Pervasive computing involves embedding tiny microprocessors in everyday objects to enable wireless communication between devices and people. It allows devices to autonomously connect and share information. The layers of pervasive networking include the network layer, access layer, device layer, human-machine interaction layer, and human core layer. A tele-home healthcare system uses these principles to monitor patients' health and alert hospitals and contacts if emergencies occur. While pervasive computing provides convenient access to information, privacy and security are major challenges.
Seminar on pervasive computing
The document discusses pervasive computing, which involves embedding computing devices and sensors into everyday objects to create an interconnected web. This would allow for context-aware and user-aware interaction. Key aspects are user interaction through speech and gestures, proactive device interaction and frequent multiparty interactions without central authority. Applications discussed include health care monitoring, environmental monitoring, and intelligent transportation systems. Concerns regarding privacy, security and safety are also covered. The document concludes that pervasive computing could provide benefits but also raises debates around privacy and safety issues that require addressing.
Pervasive computing and its Security Issues
This document outlines key aspects of pervasive computing including:
1. It discusses the evolution of computing from mainframes to personal computers to the emerging era of pervasive computing.
2. It describes the architecture of pervasive computing including applications, middleware, intelligent computing, mobile computing, context-awareness and affective computing components.
3. It examines wireless communication technologies used in pervasive computing like Zigbee, Bluetooth, WiFi and discusses security issues with vulnerabilities in these wireless systems including denial of service attacks, eavesdropping and message injection.
Pervasive computing
Roy Campbell discusses his research on pervasive and ubiquitous computing through his work on Active Spaces and the Gaia project. The key goals are to seamlessly augment human activities through networked computing devices that are integrated into physical environments. This allows for applications that are aware of users' locations and can customize interfaces. However, ensuring privacy, security, and that systems are used for good purposes will be ongoing challenges as ubiquitous computing becomes more common.
Pervasive Computing
Pervasive/ubiquitous computing refers to embedding microprocessors in everyday objects to communicate information and connect devices. The goal is for connectivity to be unobtrusive and always available. Key aspects include wireless technologies, advanced electronics, and the internet connecting smart products. Challenges include creating seamless integration between technology and users.
Ambient Intelligence
When the surrounding is aware what you want, what you need and where you are. That would be great, ain't it?
Pervasive Computing
Pervasive computing also known as Ubiquitous computing (ubicomp) is a concept in software engineering and computer science where computing is made to appear everywhere and anywhere. Eg:laptop computers, tablets and terminals in everyday objects such as a fridge or a pair of glasses.
•It is also termed as ambient intelligence, Ubiquitous computing ,everyware,physical computing, the Internet of Things, haptic computing, and 'things that think’.
Pervasive Computing : You're Already Knee Deep In It
Presentation for Web Directions South 2009 on Pervasive Computing that outlines 5 key metrics that can be used to measure how pervasive computing is collapsing your sense of space.
These measurements can be used to define and refine specific elements of a business model to make your operating and distribution platforms more pervasive.
Context-Aware Computing
1. Context-aware computing uses information about a user's environment and situation to provide tailored services, with the goal of delivering the right service at the right moment.
2. Context includes information such as location, identity, activity, schedule, nearby resources and more. It comes from various sources and changes over time.
3. Designing context-aware applications and systems requires acquiring context information, reasoning about it, and using it intelligently to benefit users or services while maintaining user privacy and control. Many technical and research challenges remain open.
Ambient intelligence
Ambient intelligence (AmI) refers to digital environments that are sensitive and responsive to human presence. AmI is based on ubiquitous computing, communication, and intelligent user interfaces. It aims to empower users through context-aware and adaptive technologies. Key challenges include privacy and security as AmI systems collect extensive user data and monitor environments. Potential applications include smart homes, healthcare, transportation, education, emergency response, and industry.
Ambient intelligence (AmI)
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
Ambient Intelligence perspective from IoT insight
This presentation was given to National Institute of Technology, Tiruchirapally (NITT) during Version'16 which is an all India MCA meet. The theme of the meet was Ambient Intelligence which was termed as WITURA by organizing team.
(There is not any copyright violation intended in this slide and purely intended for educational purpose. )
Pervasive computing
Pervasive computing refers to embedding computers and communication technologies in our everyday environment so they are invisible but always available when needed. This allows computers to operate in the real world through things like sensors that can watch, listen, and interact with people. The goal is for computing to be integrated everywhere and available at any time through millions of embedded computers and devices. Some examples include smart homes that control lighting and temperature based on biometric sensors in clothes or large-scale monitoring of wildlife, baggage, transportation systems, and more through networks of sensors.
Pervasive computing
Pervasive computing is the growing trend towards embedding microprocessors in everyday objects so they can communicate information.
The words pervasive and ubiquitous mean "existing everywhere”.
It is also called “Ubiquitous computing”
Distributed Computing “two or more computers communicating and co-ordinating by message passing”.
Its also called as "Parallel computing”.
Ambient intelligence
This document provides an overview of ambient intelligence (AmI). It defines AmI as a paradigm that replaces conventional input/output devices with sensors and processors, enabling objects to communicate and interact with users naturally. The document outlines a generic AmI architecture consisting of sensors, actuators, middleware, and AI reasoning. Examples of AmI systems for personalized sports training and elderly assisted living are described. The promises of AmI include more convenient access to data and helpful behaviors from AI, but dangers include threats to privacy from increased data collection. The future of AmI may include greater social and emotional intelligence and scaling to support multiple users.
Ubiquitous computing presentation 2
The document discusses issues and challenges in ubiquitous computing including security, privacy, and trust. It proposes several solutions to these problems such as sandboxing, certification, proof carrying code, direct code analysis, and biometrics. The future of ubiquitous computing is envisioned as integrating computing technology everywhere for everyone at all times through pervasive networks and devices.
Ambient intelligence
Ambient intelligence (AmI) refers to digital environments that are aware of a person's presence and context and can respond accordingly. Key aspects of AmI include systems and technologies that are embedded, context-aware, personalized, adaptive, and anticipatory. AmI aims to improve people's quality of life while also benefiting the environment through more efficient energy usage and waste reduction. Some applications of AmI include smart homes, health monitoring, transportation, education, emergency services, and production facilities. However, challenges remain regarding issues like limited sensor battery life, modeling multiple users, self-testing software, and privacy/security concerns.
Ambient intelligence
Ambient intelligence (AmI) refers to electronic environments that are sensitive and responsive to human presence. AmI aims to make our everyday environments intelligent and responsive to our immediate needs through networks of hidden computing devices. AmI was first proposed in 1988 and is based on ubiquitous computing, ubiquitous communication, and intelligent user interfaces. Key technologies that enable AmI include sensing human presence and activities, reasoning about user behaviors and needs, and acting through intelligent devices to affect the environment. While AmI offers benefits like customizing environments and increasing human control, ongoing challenges include privacy, security, and designing self-testing software.
Digital Marketing First 2014 - Context Aware Computing and Cross Channel Pers...
The document discusses context-aware computing and how Argus Labs is addressing it. Argus Labs has created a sensor fusion platform that can understand context, behavior, and mood using deep learning. It can profile users based on sensors to understand habits and predict human behavior. Argus Labs is applying this across industries like insurance, healthcare, advertising, and more to engage users based on their context in a personalized manner.
Quality Metrics In Ubiquitous Computing
What is Ubiquitous Computing?
Ubiquitous computing (alias: Pervasive Computing) is a paradigm in which the processing of information is linked with each activity or object as encountered. It involves connecting electronic devices, including embedding microprocessors to communicate information. Devices that use ubiquitous computing have constant availability and are completely connected.
Ubiquitous computing focuses on learning by removing the complexity of computing and increases efficiency while using computing for different daily activities.
Ubiquitous computing is also known as pervasive computing, everyware and ambient intelligence.
Mobile Computing
Mobile computing allows transmission of data, voice, and video via computers and wireless devices without a fixed physical connection. It provides wireless communication between devices through technologies like ubiquitous computing, which makes computing appear everywhere, and pervasive computing, which uses information technology everywhere. Mobile computing devices include PDAs, smartphones that combine PDA and phone capabilities, and tablets with large touchscreens. While offering location flexibility, enhanced productivity, and entertainment, mobile computing has limitations around resource constraints, interference, bandwidth, dynamic network changes, and security issues.
More Related Content
What's hot
Pervasive computing
This document discusses pervasive computing in healthcare. It defines pervasive computing as computing that is available everywhere through tiny microprocessors embedded in everyday objects. In healthcare, pervasive computing involves continuous health monitoring using biosensors, smart home technologies, and networks. This allows for more proactive healthcare by providing doctors with more health data. Examples of pervasive computing in healthcare include biosensors that detect infectious diseases and personal digital assistants used by doctors for portability, easy access to data, and low costs.
Pervasive computing
Pervasive computing involves embedding tiny microprocessors in everyday objects to enable wireless communication between devices and people. It allows devices to autonomously connect and share information. The layers of pervasive networking include the network layer, access layer, device layer, human-machine interaction layer, and human core layer. A tele-home healthcare system uses these principles to monitor patients' health and alert hospitals and contacts if emergencies occur. While pervasive computing provides convenient access to information, privacy and security are major challenges.
Seminar on pervasive computing
The document discusses pervasive computing, which involves embedding computing devices and sensors into everyday objects to create an interconnected web. This would allow for context-aware and user-aware interaction. Key aspects are user interaction through speech and gestures, proactive device interaction and frequent multiparty interactions without central authority. Applications discussed include health care monitoring, environmental monitoring, and intelligent transportation systems. Concerns regarding privacy, security and safety are also covered. The document concludes that pervasive computing could provide benefits but also raises debates around privacy and safety issues that require addressing.
Pervasive computing and its Security Issues
This document outlines key aspects of pervasive computing including:
1. It discusses the evolution of computing from mainframes to personal computers to the emerging era of pervasive computing.
2. It describes the architecture of pervasive computing including applications, middleware, intelligent computing, mobile computing, context-awareness and affective computing components.
3. It examines wireless communication technologies used in pervasive computing like Zigbee, Bluetooth, WiFi and discusses security issues with vulnerabilities in these wireless systems including denial of service attacks, eavesdropping and message injection.
Pervasive computing
Roy Campbell discusses his research on pervasive and ubiquitous computing through his work on Active Spaces and the Gaia project. The key goals are to seamlessly augment human activities through networked computing devices that are integrated into physical environments. This allows for applications that are aware of users' locations and can customize interfaces. However, ensuring privacy, security, and that systems are used for good purposes will be ongoing challenges as ubiquitous computing becomes more common.
Pervasive Computing
Pervasive/ubiquitous computing refers to embedding microprocessors in everyday objects to communicate information and connect devices. The goal is for connectivity to be unobtrusive and always available. Key aspects include wireless technologies, advanced electronics, and the internet connecting smart products. Challenges include creating seamless integration between technology and users.
Ambient Intelligence
When the surrounding is aware what you want, what you need and where you are. That would be great, ain't it?
Pervasive Computing
Pervasive computing also known as Ubiquitous computing (ubicomp) is a concept in software engineering and computer science where computing is made to appear everywhere and anywhere. Eg:laptop computers, tablets and terminals in everyday objects such as a fridge or a pair of glasses.
•It is also termed as ambient intelligence, Ubiquitous computing ,everyware,physical computing, the Internet of Things, haptic computing, and 'things that think’.
Pervasive Computing : You're Already Knee Deep In It
Presentation for Web Directions South 2009 on Pervasive Computing that outlines 5 key metrics that can be used to measure how pervasive computing is collapsing your sense of space.
These measurements can be used to define and refine specific elements of a business model to make your operating and distribution platforms more pervasive.
Context-Aware Computing
1. Context-aware computing uses information about a user's environment and situation to provide tailored services, with the goal of delivering the right service at the right moment.
2. Context includes information such as location, identity, activity, schedule, nearby resources and more. It comes from various sources and changes over time.
3. Designing context-aware applications and systems requires acquiring context information, reasoning about it, and using it intelligently to benefit users or services while maintaining user privacy and control. Many technical and research challenges remain open.
Ambient intelligence
Ambient intelligence (AmI) refers to digital environments that are sensitive and responsive to human presence. AmI is based on ubiquitous computing, communication, and intelligent user interfaces. It aims to empower users through context-aware and adaptive technologies. Key challenges include privacy and security as AmI systems collect extensive user data and monitor environments. Potential applications include smart homes, healthcare, transportation, education, emergency response, and industry.
Ambient intelligence (AmI)
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
Ambient Intelligence perspective from IoT insight
This presentation was given to National Institute of Technology, Tiruchirapally (NITT) during Version'16 which is an all India MCA meet. The theme of the meet was Ambient Intelligence which was termed as WITURA by organizing team.
(There is not any copyright violation intended in this slide and purely intended for educational purpose. )
Pervasive computing
Pervasive computing refers to embedding computers and communication technologies in our everyday environment so they are invisible but always available when needed. This allows computers to operate in the real world through things like sensors that can watch, listen, and interact with people. The goal is for computing to be integrated everywhere and available at any time through millions of embedded computers and devices. Some examples include smart homes that control lighting and temperature based on biometric sensors in clothes or large-scale monitoring of wildlife, baggage, transportation systems, and more through networks of sensors.
Pervasive computing
Pervasive computing is the growing trend towards embedding microprocessors in everyday objects so they can communicate information.
The words pervasive and ubiquitous mean "existing everywhere”.
It is also called “Ubiquitous computing”
Distributed Computing “two or more computers communicating and co-ordinating by message passing”.
Its also called as "Parallel computing”.
Ambient intelligence
This document provides an overview of ambient intelligence (AmI). It defines AmI as a paradigm that replaces conventional input/output devices with sensors and processors, enabling objects to communicate and interact with users naturally. The document outlines a generic AmI architecture consisting of sensors, actuators, middleware, and AI reasoning. Examples of AmI systems for personalized sports training and elderly assisted living are described. The promises of AmI include more convenient access to data and helpful behaviors from AI, but dangers include threats to privacy from increased data collection. The future of AmI may include greater social and emotional intelligence and scaling to support multiple users.
Ubiquitous computing presentation 2
The document discusses issues and challenges in ubiquitous computing including security, privacy, and trust. It proposes several solutions to these problems such as sandboxing, certification, proof carrying code, direct code analysis, and biometrics. The future of ubiquitous computing is envisioned as integrating computing technology everywhere for everyone at all times through pervasive networks and devices.
Ambient intelligence
Ambient intelligence (AmI) refers to digital environments that are aware of a person's presence and context and can respond accordingly. Key aspects of AmI include systems and technologies that are embedded, context-aware, personalized, adaptive, and anticipatory. AmI aims to improve people's quality of life while also benefiting the environment through more efficient energy usage and waste reduction. Some applications of AmI include smart homes, health monitoring, transportation, education, emergency services, and production facilities. However, challenges remain regarding issues like limited sensor battery life, modeling multiple users, self-testing software, and privacy/security concerns.
Ambient intelligence
Ambient intelligence (AmI) refers to electronic environments that are sensitive and responsive to human presence. AmI aims to make our everyday environments intelligent and responsive to our immediate needs through networks of hidden computing devices. AmI was first proposed in 1988 and is based on ubiquitous computing, ubiquitous communication, and intelligent user interfaces. Key technologies that enable AmI include sensing human presence and activities, reasoning about user behaviors and needs, and acting through intelligent devices to affect the environment. While AmI offers benefits like customizing environments and increasing human control, ongoing challenges include privacy, security, and designing self-testing software.
Digital Marketing First 2014 - Context Aware Computing and Cross Channel Pers...
The document discusses context-aware computing and how Argus Labs is addressing it. Argus Labs has created a sensor fusion platform that can understand context, behavior, and mood using deep learning. It can profile users based on sensors to understand habits and predict human behavior. Argus Labs is applying this across industries like insurance, healthcare, advertising, and more to engage users based on their context in a personalized manner.
What's hot (20)
Pervasive Computing : You're Already Knee Deep In It
Pervasive Computing : You're Already Knee Deep In It
Digital Marketing First 2014 - Context Aware Computing and Cross Channel Pers...
Digital Marketing First 2014 - Context Aware Computing and Cross Channel Pers...
Similar to 5.0 pervasive computing
Quality Metrics In Ubiquitous Computing
What is Ubiquitous Computing?
Ubiquitous computing (alias: Pervasive Computing) is a paradigm in which the processing of information is linked with each activity or object as encountered. It involves connecting electronic devices, including embedding microprocessors to communicate information. Devices that use ubiquitous computing have constant availability and are completely connected.
Ubiquitous computing focuses on learning by removing the complexity of computing and increases efficiency while using computing for different daily activities.
Ubiquitous computing is also known as pervasive computing, everyware and ambient intelligence.
Mobile Computing
Mobile computing allows transmission of data, voice, and video via computers and wireless devices without a fixed physical connection. It provides wireless communication between devices through technologies like ubiquitous computing, which makes computing appear everywhere, and pervasive computing, which uses information technology everywhere. Mobile computing devices include PDAs, smartphones that combine PDA and phone capabilities, and tablets with large touchscreens. While offering location flexibility, enhanced productivity, and entertainment, mobile computing has limitations around resource constraints, interference, bandwidth, dynamic network changes, and security issues.
Pervasive Computing
Pervasive computing explores embedding computing power into everyday objects to create an intelligent environment where technology is invisible and enhances human abilities. It involves distributing small, networked processing devices everywhere to integrate information processing into daily life and activities. Key aspects include ubiquitous connectivity, accommodating different networks and devices, and easy context-aware interaction and access to information and services. Challenges include privacy, security, control and transparency when computers are everywhere.
Modern Technology
About modern technology in our modern life. It can be helpful to increase your knowledge.
Thank You.
The future-of-personal-computing
This document discusses the past and future of personal computing. It covers how PCs have evolved from large mainframe computers for businesses to personal devices for everyday use, driven by advances in hardware like integrated circuits and software like GUIs. The internet and rise of mobile devices like smartphones have transformed computing into an always-connected experience. The future may bring wearable devices, internet-connected appliances, and new interfaces like gestures. Security, privacy, and the role of cloud computing remain open questions as personal computing continues to merge with daily life.
The future-of-personal-computing
This document discusses the past and future of personal computing. It covers how PCs have evolved from large mainframe computers for businesses to personal devices for everyday use, driven by advances in hardware like integrated circuits and software like GUIs. The internet and rise of mobile devices like smartphones have transformed computing into an always-connected experience. The future may bring wearable devices, internet-connected appliances, and new interfaces like gestures. Security, privacy, and the role of the cloud remain open questions as personal computing continues to merge with daily life.
PDAs
PDA stands for Personal Digital Assistant. It is a mobile device that functions as a personal information manager, also known as a palmtop computer. The term PDA was first used in 1992 by Apple CEO John Sculley to refer to the Apple Newton. Nokia introduced the first mobile phone with PDA functionality in 1996. Today, most PDAs are smartphones. PDAs allow users to access the internet, store contacts and calendars, and synchronize data with computers. They connect via touch screens, memory cards, USB cables, Bluetooth, and Wi-Fi.
Wireless Trends
This document discusses various types of wireless devices and provides details on some of them. It describes portable computers, tablet computers, personal digital assistants, internet tablets, ultra mobile PCs, smartphones, carputers, and fly fusion pentop computers. For each type of device, it provides 1-2 sentences on features and examples.
Pervasivecomputing 140422034057-phpapp02
This document discusses pervasive computing, which involves embedding microprocessors in everyday objects to allow them to communicate information. It defines pervasive computing, outlines its history and key aspects like smart devices, connectivity through various wireless technologies, and user interfaces. Applications mentioned include healthcare, home automation, and environmental monitoring. Advantages are convenient access to information, but disadvantages include security and privacy risks.
A Study Mobile Computing
This document discusses mobile computing. It begins by defining mobile computing as human-computer interaction that allows transmission of data, voice and video via wireless devices without a fixed connection. It then discusses mobile communication, hardware, and software. For mobile hardware, it describes devices like smartphones, tablets, and PDAs. For mobile software, it discusses how software deals with the characteristics and requirements of mobile applications. It also covers advantages of mobile computing like location flexibility and enhanced productivity, as well as limitations like range/bandwidth and security standards. Overall, the document provides an overview of the key concepts and components of mobile computing.
Top five emerging technology in industry
The document discusses five emerging technologies in industry: 1) Internet of Things (IoT) which refers to the growing network of physical objects connected to the internet; 2) Artificial Intelligence (AI) which simulates human intelligence through machine learning and problem solving; 3) 5G networks which will provide faster wireless speeds and lower latency; 4) Serverless computing which allows users to deploy code without managing infrastructure and be charged based on usage; 5) Blockchain which is a distributed database existing across multiple computers that records transactions in an immutable digital ledger. These emerging technologies are expected to significantly impact businesses and create new opportunities across various industries over the next 5-10 years.
Mobile computing -- Introduction
Mobile computing allows transmission of data without a fixed physical connection. It involves human-computer interaction and portable technologies that provide internet access from laptops, phones, and other devices. The purpose is to provide useful information to clients anywhere and anytime, drastically changing lifestyles and work methods. Key aspects include mobile communication, mobile hardware, and mobile software that runs on handheld devices and has grown in popularity since the 1980s.
Information and communication technology tools(ict)
ICT tools include computers, laptops, tablets, smartphones, printers, scanners, and other digital devices that allow for information communication through networks and the internet. They can provide universal access to education and improve learning, teaching, and management. Some key ICT tools are computers, which process data and give outputs; laptops, which are portable computers; the internet, which connects billions of devices globally; and interactive whiteboards, which allow touch-based control of screens projected from connected computers. Other tools include tablets like iPads, smartphones like iPhones, digital cameras, and video conferencing software like Skype. ICT tools have potential to enhance education when implemented effectively.
Classterms
The document defines 50 terms related to communications technology and computer science. Some of the key terms defined include:
- Mesh Networking, which allows data to route around broken paths by hopping from node to node.
- Wiki, which refers to a collaborative website that can be edited by anyone with access.
- JPEG, which is a commonly used method for compressing images.
- USB, which allows peripherals to connect using a single interface and improves connectivity capabilities.
- Pixel, which is a single point in a graphic image.
5.0 5.1 5.2
Pervasive computing embeds microprocessors in everyday objects to allow communication and sharing of information. It relies on wireless technologies, electronics, and the internet to create smart, connected products. Researchers aim to develop products that seamlessly communicate and generate data available on the internet. Examples include smart TVs, which integrate the internet and web features into televisions and set-top boxes, allowing users to search for videos, movies, photos and other content from the web or local storage.
Basics of telecommunication and networking
Telecommunication enables people to talk via electronic media and Networking enables more than one computers to connect and share the information. In today's business telecommunication and networking play an important role. Also wireless technologies like bluetooth and Wi-Fi make easy transaction for any IT enable business.
Implementation of Real Time Home Automation of Embedded System Design with In...
1) The document describes a home automation system using an Arduino board, WiFi module, sensors, and relays to control devices remotely using an Android app.
2) The system allows users to control lights, fans, motors and other home appliances from their phone through voice commands or a mobile app interface.
3) Sensors monitor temperature, humidity, motion and water levels, and the system aims to provide security, convenience and energy efficiency for users.
Ppt wearable computer
wearable computers which provide certain personal gadgets to improve our viewing of seen the whole enterainment world
Artificial Intelligence Paper
Artificial intelligence is the science and engineering of creating intelligent machines, especially intelligent computer programs. The document discusses AI, its branches including logical AI, search, pattern recognition, and learning from experience. Applications of AI mentioned are gaming, speech recognition, computer vision, and medical diagnosis. The paper also discusses the future of the intelligent wireless web, which will merge next generation internet with Internet2, experiment with interactive intelligent programs using speech recognition, and improve connectivity through wireless devices.
P2 unit 3
This document discusses different types of computer systems: laptops, tablets, desktops, servers, smartphones, game consoles, and embedded systems. Laptops and tablets are portable devices that can access the internet wirelessly, while desktops are non-portable personal computers. Servers provide network services across private and public networks. Smartphones combine phone and computing capabilities. Game consoles provide an entertainment platform for playing games with high-resolution graphics. Embedded systems control larger mechanical systems like cars and airplanes through specialized computer hardware.
Similar to 5.0 pervasive computing (20)
Information and communication technology tools(ict)
Information and communication technology tools(ict)
Implementation of Real Time Home Automation of Embedded System Design with In...
Implementation of Real Time Home Automation of Embedded System Design with In...
5.0 pervasive computing
- 1. 5.0 Pervasive Computing 5.1 Meaning The idea that technology is moving beyond the personal computer to every day devices with embedded technology and connectivity as computing devices become progressively smaller and more powerful. Also called ubiquitous computing, pervasive computing is the result of computer technology advancing at exponential speeds - a trend toward all man-made and some natural products having hardware and software. Pervasive computing goes beyond the realm of personal computers. It is the idea that almost any device, from clothing to tools to appliances to cars to homes to the human body to your coffee mug, can be imbedded with chips to connect the device to an infinite network of other devices. The goal of pervasive computing, which combines current network technologies with wireless computing, voice recognition, Internet capability and artificial intelligence, is to create an environment where the connectivity of devices is embedded in such a way that the connectivity is unobtrusive and always available. 5.2 Examples Smartphone A smartphone is a mobile phone offering advanced capabilities, often with PC-like functionality. There is no industry standard definition of a smartphone. For some, a smartphone is a phone that runs complete operating system software providing a standardized interface and platform for application developers. Personal Digital Assistant (PDA) A personal digital assistant (PDA) is a handheld computer, also known as a palmtop computer. Newer PDAs also have both color screens and audio capabilities, enabling them to be used as mobile phones, web browsers, or portable media players. Many PDAs can access the Internet via Wi-Fi, or Wireless Wide-Area Networks (WWANs).Many PDAs employ touch screen technology.