This document outlines an agenda for a presentation on ubiquitous computing and context-aware computing systems. The presentation will cover ubiquitous computing concepts like devices, research areas, and great moments in the field's history. It will then discuss context-aware computing systems, including definitions of context, real-world usage scenarios, and interest from industry and academia. Sensors that enable context awareness will also be discussed. The presentation will conclude with a Q&A section.
Ubiquitous computing aims to enhance computer use by integrating many computers throughout the environment. It discusses the history and evolution of ubiquitous computing from constraints to prototyping. Key challenges include developing transparent interfaces, capturing context awareness, and facilitating automated capture of experiences. Issues involve toolkit design, software structuring, component integration, scalability, adaptability, privacy and security as more devices are connected. The vision for 2020 is that computers will be everywhere in daily objects and integrated into fabrics of life, facilitating an invisible intelligent network.
Ubiquitous computing, also known as pervasive computing, refers to a post-desktop model of human-computer interaction where computing is integrated into everyday objects and activities in a way that is invisible to the user. The document discusses the history and definitions of ubiquitous computing, including Mark Weiser's vision of making many computers available throughout the physical environment but making them effectively invisible. It also covers related areas like augmented reality, ambient intelligence, and properties of ubiquitous computing systems like being networked, distributed, context-aware, and able to operate autonomously.
Ubiquitous computing (ubicomp) involves integrating computation into everyday objects and environments. It aims to make many computers available throughout the physical world and make them effectively invisible to the user. Ubicomp enhances computer use by bringing computing capabilities to any device or location. Key aspects of ubicomp include ubiquity, adaptation to the environment, and intuitive interfaces. Ubicomp raises issues around privacy, adaptability to different contexts, and availability in various locations. It involves context-aware computing that tailors services to a user's location, activities, and environment.
Ubiquitous computing aims to embed computers into everyday objects to make them invisible. It was envisioned by Mark Weiser as computers spreading into everything around us. Key aspects are devices interacting and coordinating without needing direct human interaction. Challenges include retrofitting environments for ubiquitous computing and ensuring impromptu interoperability and privacy between connected devices.
This document provides an overview of ubiquitous networking. It begins by defining ubiquitous computing as making many computers available throughout the environment while making them invisible to the user. It then discusses the history and major trends in computing that led to ubiquitous computing. Ubiquitous networking is introduced as the implementation of ubiquitous computing using network infrastructures that provide constant internet access across diverse devices. The document outlines a 3 step process for how ubiquitous networking could work using ultrasonic location systems, zones around users and devices, and information hoopers and smart posters. Finally, applications of ubiquitous networking for e-commerce, mobility, and corporate use are discussed.
Ubiquitous computing refers to technology that is integrated into everyday life to the extent that it is indistinguishable from it. The vision is for computing services to be available anytime and anywhere through devices that are increasingly more powerful, smaller, and cheaper. Ubiquitous computing is changing daily activities by allowing people to communicate and interact with hundreds of computing devices in new ways. However, it also presents challenges in systems design, security and privacy, and how teaching and learning can take advantage of ubiquitous access to resources and tools.
This document outlines an agenda for a presentation on ubiquitous computing and context-aware computing systems. The presentation will cover ubiquitous computing concepts like devices, research areas, and great moments in the field's history. It will then discuss context-aware computing systems, including definitions of context, real-world usage scenarios, and interest from industry and academia. Sensors that enable context awareness will also be discussed. The presentation will conclude with a Q&A section.
Ubiquitous computing aims to enhance computer use by integrating many computers throughout the environment. It discusses the history and evolution of ubiquitous computing from constraints to prototyping. Key challenges include developing transparent interfaces, capturing context awareness, and facilitating automated capture of experiences. Issues involve toolkit design, software structuring, component integration, scalability, adaptability, privacy and security as more devices are connected. The vision for 2020 is that computers will be everywhere in daily objects and integrated into fabrics of life, facilitating an invisible intelligent network.
Ubiquitous computing, also known as pervasive computing, refers to a post-desktop model of human-computer interaction where computing is integrated into everyday objects and activities in a way that is invisible to the user. The document discusses the history and definitions of ubiquitous computing, including Mark Weiser's vision of making many computers available throughout the physical environment but making them effectively invisible. It also covers related areas like augmented reality, ambient intelligence, and properties of ubiquitous computing systems like being networked, distributed, context-aware, and able to operate autonomously.
Ubiquitous computing (ubicomp) involves integrating computation into everyday objects and environments. It aims to make many computers available throughout the physical world and make them effectively invisible to the user. Ubicomp enhances computer use by bringing computing capabilities to any device or location. Key aspects of ubicomp include ubiquity, adaptation to the environment, and intuitive interfaces. Ubicomp raises issues around privacy, adaptability to different contexts, and availability in various locations. It involves context-aware computing that tailors services to a user's location, activities, and environment.
Ubiquitous computing aims to embed computers into everyday objects to make them invisible. It was envisioned by Mark Weiser as computers spreading into everything around us. Key aspects are devices interacting and coordinating without needing direct human interaction. Challenges include retrofitting environments for ubiquitous computing and ensuring impromptu interoperability and privacy between connected devices.
This document provides an overview of ubiquitous networking. It begins by defining ubiquitous computing as making many computers available throughout the environment while making them invisible to the user. It then discusses the history and major trends in computing that led to ubiquitous computing. Ubiquitous networking is introduced as the implementation of ubiquitous computing using network infrastructures that provide constant internet access across diverse devices. The document outlines a 3 step process for how ubiquitous networking could work using ultrasonic location systems, zones around users and devices, and information hoopers and smart posters. Finally, applications of ubiquitous networking for e-commerce, mobility, and corporate use are discussed.
Ubiquitous computing refers to technology that is integrated into everyday life to the extent that it is indistinguishable from it. The vision is for computing services to be available anytime and anywhere through devices that are increasingly more powerful, smaller, and cheaper. Ubiquitous computing is changing daily activities by allowing people to communicate and interact with hundreds of computing devices in new ways. However, it also presents challenges in systems design, security and privacy, and how teaching and learning can take advantage of ubiquitous access to resources and tools.
The document provides an overview of ubiquitous computing (ubicomp). It discusses key concepts like ubicomp being computing that is integrated into everyday objects and environments. The document outlines some of the underlying technologies that enable ubicomp like sensors, networks, and context-aware computing. It also discusses Weiser's vision of calm and invisible computing and describes example application scenarios for personal memories, transportation, food management, and utilities. Finally, it introduces concepts like smart devices, environments, and interactions as architectural patterns for ubicomp systems.
Ubiquitous computing is one of the most prodiously growing topic which will be covering all facets of life.In the course of ordinary activities, someone "using" ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. This model is considered an advancement from the older desktop paradigm. More formally, ubiquitous computing is defined as "machines that fit the human environment instead of forcing humans to enter theirs".
Ubiquitous computing, also known as pervasive computing, refers to the concept of integrating computers into everyday objects and environments. The goal is to create invisible technology that is integrated with both the virtual and physical world. Some key applications of ubiquitous computing include healthcare, home automation, intelligent transportation systems, and environmental monitoring using smart devices. While ubiquitous computing provides advantages like efficiency and adaptability, there are also challenges to address regarding power consumption, wireless connectivity, security, and cost. Overall, ubiquitous computing aims to simplify lives through digital environments that are sensitive and responsive to human needs.
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.
Ubiquitous computing, also known as pervasive computing, refers to the concept of integrating computation into everyday objects and environments. It allows computing to occur anytime and anywhere using any device. The father of ubiquitous computing is Mark Weiser, who first articulated the idea in 1988 and envisioned computers being embedded everywhere in a way that is invisible to the user. Ubiquitous computing represents the third generation of computing after mainframes and personal computers, enabling one person to use many computers. While it provides advantages like efficient information access anywhere, ubiquitous computing also faces challenges related to security, connectivity, and costs.
Ubiquitous networking allows users to access and exchange information freely from anywhere using broadband and mobile access. It combines optical communication, mobile, and consumer electronics into one network. A ubiquitous network is context-aware, connecting computing devices anywhere and anytime through objects. The key role is fulfilling user needs through context awareness of their location, access status, and preferences to provide optimal services. Main challenges include providing seamless connectivity, context awareness, resource and device management across this integrated network.
Ubiquitous computing aims to embed small computing devices throughout the environment to make computing invisible and integrated into everyday objects. While this could make objects more useful by giving them sensing and processing abilities, it also raises major privacy concerns. Six principles are proposed to address privacy in ubiquitous computing: notice, choice and consent, anonymity and pseudonymity, proximity and locality, adequate security, and access and recourse. Proper implementation of these principles through system design could help balance privacy and functionality in an increasingly digital world.
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’.
Ubiquitous Computing Applications
Outline
Ubiquitous Computing
Virtual Reality
Augmented Reality
Information and Data Visualization.
What is ubiquitous computing?
Any computing technology that permits human interaction away from a single workstation.
This includes
pen-based technology,
handheld or portable devices,
large-scale interactive screens,
voice or vision technology.
Human-centered vision with these technologies presents many challenges. Here we Focus
defining the appropriate physical interaction experience;
discovering general application features;
theories for designing and evaluating the human experience within ubiquitous computing.
Scales of devices
Mark Weiser proposed three basic forms for ubiquitous system devices:
Inch
Foot
Yard
Implications for device size as well as relationship to people.
Pervasive Computing : You're Already Knee Deep In ItRob Manson
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.
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.
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.
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”.
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.
The document discusses five key properties of ubiquitous computing systems: distributed, implicit human-computer interaction (HCI), context-aware, autonomous, and intelligent. It provides details on each property: distributed systems use networked devices and communication networks; implicit HCI relies on interpreting user actions rather than explicit commands; context-aware systems tailor services based on physical environment, user, and system context; autonomous systems can independently control actions to achieve goals with less user interaction; and intelligent systems can model their environment and users to act proactively and handle uncertainty.
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.
Ubiquitous interactions are occurring across multiple devices that can sense context. As devices proliferate, interactions are becoming distributed across time and space, occurring seamlessly between devices. However, current design practices still silo devices and services, rather than taking a holistic approach. To fully realize ubiquitous interaction, the field needs new models that account for dynamic, distributed use of many devices informed by context.
Ubiquitous computing (ubicomp) refers to computers integrated into everyday objects and activities. The goal is to create an environment where connectivity between devices is always available but unobtrusive. Examples of ubicomp devices include digital audio players, RFID tags, smartphones, and interactive whiteboards. Mark Weiser is considered the father of ubiquitous computing and coined the term in the 1980s.
Anger management | Anger Management London | Anger Management CoursesOscar Williams
The document provides 5 tips for managing anger:
1. Take a timeout by breathing deeply and counting to 10 when feeling angry to defuse the situation.
2. Once calm, assertively but nonconfrontationally express your frustration and state your concerns and needs.
3. Engage in physical activity like exercise when feeling anger, which can stimulate brain chemicals and leave you feeling happier.
4. Think before speaking in the heat of the moment to avoid saying things you'll regret.
5. Identify possible solutions to resolve issues rather than focus on what made you mad, in order to fix problems without worsening the situation.
The document provides an overview of ubiquitous computing (ubicomp). It discusses key concepts like ubicomp being computing that is integrated into everyday objects and environments. The document outlines some of the underlying technologies that enable ubicomp like sensors, networks, and context-aware computing. It also discusses Weiser's vision of calm and invisible computing and describes example application scenarios for personal memories, transportation, food management, and utilities. Finally, it introduces concepts like smart devices, environments, and interactions as architectural patterns for ubicomp systems.
Ubiquitous computing is one of the most prodiously growing topic which will be covering all facets of life.In the course of ordinary activities, someone "using" ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. This model is considered an advancement from the older desktop paradigm. More formally, ubiquitous computing is defined as "machines that fit the human environment instead of forcing humans to enter theirs".
Ubiquitous computing, also known as pervasive computing, refers to the concept of integrating computers into everyday objects and environments. The goal is to create invisible technology that is integrated with both the virtual and physical world. Some key applications of ubiquitous computing include healthcare, home automation, intelligent transportation systems, and environmental monitoring using smart devices. While ubiquitous computing provides advantages like efficiency and adaptability, there are also challenges to address regarding power consumption, wireless connectivity, security, and cost. Overall, ubiquitous computing aims to simplify lives through digital environments that are sensitive and responsive to human needs.
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.
Ubiquitous computing, also known as pervasive computing, refers to the concept of integrating computation into everyday objects and environments. It allows computing to occur anytime and anywhere using any device. The father of ubiquitous computing is Mark Weiser, who first articulated the idea in 1988 and envisioned computers being embedded everywhere in a way that is invisible to the user. Ubiquitous computing represents the third generation of computing after mainframes and personal computers, enabling one person to use many computers. While it provides advantages like efficient information access anywhere, ubiquitous computing also faces challenges related to security, connectivity, and costs.
Ubiquitous networking allows users to access and exchange information freely from anywhere using broadband and mobile access. It combines optical communication, mobile, and consumer electronics into one network. A ubiquitous network is context-aware, connecting computing devices anywhere and anytime through objects. The key role is fulfilling user needs through context awareness of their location, access status, and preferences to provide optimal services. Main challenges include providing seamless connectivity, context awareness, resource and device management across this integrated network.
Ubiquitous computing aims to embed small computing devices throughout the environment to make computing invisible and integrated into everyday objects. While this could make objects more useful by giving them sensing and processing abilities, it also raises major privacy concerns. Six principles are proposed to address privacy in ubiquitous computing: notice, choice and consent, anonymity and pseudonymity, proximity and locality, adequate security, and access and recourse. Proper implementation of these principles through system design could help balance privacy and functionality in an increasingly digital world.
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’.
Ubiquitous Computing Applications
Outline
Ubiquitous Computing
Virtual Reality
Augmented Reality
Information and Data Visualization.
What is ubiquitous computing?
Any computing technology that permits human interaction away from a single workstation.
This includes
pen-based technology,
handheld or portable devices,
large-scale interactive screens,
voice or vision technology.
Human-centered vision with these technologies presents many challenges. Here we Focus
defining the appropriate physical interaction experience;
discovering general application features;
theories for designing and evaluating the human experience within ubiquitous computing.
Scales of devices
Mark Weiser proposed three basic forms for ubiquitous system devices:
Inch
Foot
Yard
Implications for device size as well as relationship to people.
Pervasive Computing : You're Already Knee Deep In ItRob Manson
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.
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.
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.
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”.
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.
The document discusses five key properties of ubiquitous computing systems: distributed, implicit human-computer interaction (HCI), context-aware, autonomous, and intelligent. It provides details on each property: distributed systems use networked devices and communication networks; implicit HCI relies on interpreting user actions rather than explicit commands; context-aware systems tailor services based on physical environment, user, and system context; autonomous systems can independently control actions to achieve goals with less user interaction; and intelligent systems can model their environment and users to act proactively and handle uncertainty.
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.
Ubiquitous interactions are occurring across multiple devices that can sense context. As devices proliferate, interactions are becoming distributed across time and space, occurring seamlessly between devices. However, current design practices still silo devices and services, rather than taking a holistic approach. To fully realize ubiquitous interaction, the field needs new models that account for dynamic, distributed use of many devices informed by context.
Ubiquitous computing (ubicomp) refers to computers integrated into everyday objects and activities. The goal is to create an environment where connectivity between devices is always available but unobtrusive. Examples of ubicomp devices include digital audio players, RFID tags, smartphones, and interactive whiteboards. Mark Weiser is considered the father of ubiquitous computing and coined the term in the 1980s.
Anger management | Anger Management London | Anger Management CoursesOscar Williams
The document provides 5 tips for managing anger:
1. Take a timeout by breathing deeply and counting to 10 when feeling angry to defuse the situation.
2. Once calm, assertively but nonconfrontationally express your frustration and state your concerns and needs.
3. Engage in physical activity like exercise when feeling anger, which can stimulate brain chemicals and leave you feeling happier.
4. Think before speaking in the heat of the moment to avoid saying things you'll regret.
5. Identify possible solutions to resolve issues rather than focus on what made you mad, in order to fix problems without worsening the situation.
Arequipe Los Pinos IGR is a family-run business located in Los Pinos, Colombia that manufactures arequipe, a sweetened condensed milk product. The Muñoz family started the business to earn a living and has since improved product quality and introduced new technologies. The manufacturing process involves slowly heating milk and sugar to caramelize the mixture, then adding stabilizers and other ingredients before packaging, sealing, and labeling the arequipe. After a long seven hour process, the finished product is a nutritious and fortified dessert sold to cheese makers, grocery stores, and bakeries.
The document provides an overview of 7 key things to know about the SPC Libraries. 1) It lists the hours, phone numbers, and locations of the MLK Campus and Southwest Campus libraries. 2) It describes the library website which provides access to the online catalog, databases, videos, e-books, and more. 3) It explains that library instruction is available both in-person and online to support classroom assignments. 4) Course materials can be placed on reserve for student use in the library. 5) The interlibrary loan service can obtain materials not available in the SPC Libraries. 6) Purchase requests for new materials are welcomed. 7) Library liaisons are available to assist faculty in their subject areas.
Aporte para la conservacion del planeta zonia sanchezsonia sanchez
Este documento presenta aportes para la conservación del planeta desde la perspectiva de una estudiante llamada Zonia Sánchez como parte de un trabajo para su curso de Introducción a la Informática en la Universidad Fermín Toro.
Ubiquitous computing allows computing to occur anywhere, anytime, through any device. It is characterized by distributed computation, invisibility, and context-awareness. Sensors are used to gather context data about the environment, such as movement, light, temperature and audio levels. Applications of ubiquitous computing include smart home devices, intelligent transportation systems, smart health devices, and smartwatches.
The document discusses pervasive and ubiquitous computing. It defines pervasive computing as embedding computational capabilities into everyday objects to perform useful tasks with minimal user interaction. Key aspects discussed include:
- Pervasive computing devices are network-connected and constantly available. Examples of early applications explored include personal memories, adaptive transportation scheduling, foodstuff management, and utility regulation systems.
- A framework for ubiquitous computing systems called "smart DEI" is proposed, consisting of smart devices, smart environments, and smart interactions between users and systems. Systems are analyzed based on their degree of distribution, interaction, context awareness, autonomy, and artificial intelligence.
Ubiquitous computing aims to make computing services available everywhere in an intuitive and invisible manner using smart devices, environments, and interaction, with trends including smaller more powerful devices and a vision of three waves of computing outlined by Weiser. The document discusses scenarios that could be enhanced by ubiquitous computing and outlines properties like distribution, implicit human-computer interaction, context awareness, autonomy, and intelligence that ubiquitous computing systems may possess. It proposes a model of ubiquitous computing systems based on smart devices, environments, and interaction.
Ubiquitous computing aims to establish an environment where people can access information and computing power anywhere and anytime without being constrained by specific devices. It envisions computing technologies being embedded in everyday objects and the environment. Key aspects include devices that can sense their surroundings and adapt accordingly, as well as making computing virtually invisible to users. The document discusses several scenarios that could benefit from ubiquitous computing technologies and outlines some of the core properties and system designs needed to realize this vision, such as distributed, context-aware and autonomous systems.
An Architecture for Privacy-Sensitive Ubiquitous Computing at Mobisys 2004Jason Hong
Some older research I did looking at one way of building privacy-sensitive apps for ubiquitous computing environments. The core idea is to focus on locality, where all of the data is sensed and processed locally as much as possible.
Privacy is the most often-cited criticism of ubiquitous computing, and may be the greatest barrier to its long-term success. However, developers currently have little support in designing software architectures and in creating interactions that are effective in helping end-users manage their privacy. To address this problem, we present Confab, a toolkit for facilitating the development of privacy-sensitive ubiquitous computing applications. The requirements for Confab were gathered through an analysis of privacy needs for both end-users and application developers. Confab provides basic support for building ubiquitous computing applications, providing a framework as well as several customizable privacy mechanisms. Confab also comes with extensions for managing location privacy. Combined, these features allow application developers and end-users to support a spectrum of trust levels and privacy needs.
Authors are Jason Hong and James Landay
This document discusses resource sharing in ubiquitous computing environments. It begins with definitions of ubiquitous computing and resource sharing. It then describes how resources can be shared in a ubiquitous environment through examples. It presents two frameworks for resource sharing - RAMS architecture and AURA framework. RAMS architecture defines producer and consumer roles and includes three components: human interaction, preprocessing, and human recognition. The document concludes by discussing some key issues in ubiquitous environments like heat dissipation, privacy, and security.
The document discusses principles for pervasive information architecture and cross-channel user experiences. It defines key terms like cross-channel UX and pervasive information architecture. Cross-channel experiences consider the interconnected ecosystem of devices, users, and information across physical and digital domains. The document outlines five heuristics for cross-channel UX design: place-making, consistency, resilience, reduction, and correlation. It emphasizes the need for designers to adopt a holistic vision that considers the user experience across related physical and digital environments as an interconnected ecosystem.
A distributed system is a collection of independent computers that appears as a single coherent system to its users. It allows sharing of resources and workload across networked computers. Key characteristics include multiple autonomous components, lack of shared memory, and message-based communication. The World Wide Web is a large-scale distributed system that allows sharing of documents, files, and other resources across the internet through web servers and browsers. It faces challenges like heterogeneity, security, scalability, and fault tolerance.
This document provides an overview of distributed systems. It defines a distributed system as a collection of independent computers that appears as a single coherent system to users. Distributed systems are characterized by no shared memory, each computer running its own OS, and potential heterogeneity. Key advantages include resource sharing, fault tolerance, and scalability. Challenges include heterogeneity, security, failure handling and concurrency. Examples of distributed systems given are the web, online games, and financial trading networks. The World Wide Web is discussed as a case study, with definitions of web servers, browsers, pages and search engines.
Distributed systems allow sharing of resources between networked computers. They are characterized by multiple autonomous components that are not universally accessible due to failures or concurrency. Key challenges in distributed systems include heterogeneity, security, scalability, failure handling and concurrency. The World Wide Web is a prominent example of a distributed system, allowing global access to resources stored on servers worldwide.
The document discusses cloud computing and distributed computing. It defines cloud computing as a type of parallel and distributed system consisting of interconnected and virtualized computers that are dynamically provisioned on demand through web technologies. Distributed computing is defined as utilizing a network of autonomous computers communicating over a network to accomplish a task more quickly than a single computer. The document then covers the history, characteristics, applications, advantages, and disadvantages of distributed computing and cloud computing.
Cloud computing is used to define a new class of computing that is based on the network technology. Cloud computing takes place over the internet. It comprises of a collection of integrated and networked hardware, software and internet infrastructures. These infrastructures are used to provide various services to the users. Distributed computing comprises of multiple software components that belong to multiple computers. The system works or runs as a single system. Cloud computing can be referred to as a form that originated from distributed computing and virtualization.
This document provides an overview of the Web of Things (WoT) and Cloud of Things. It defines WoT and how it differs from IoT, describing WoT's focus on integrating physical objects and systems onto the web. It then discusses standardization efforts for WoT architecture and middleware platforms for different application domains. Finally, it briefly introduces the Cloud of Things and how business intelligence can analyze sensor data from the WoT and Cloud.
As the internet changes our life, cloud of things will change our life again This new technology cloud of things Emerging the following technology(iot-cloud-5g-nano tech-Hci-context awareness-natural interaction) that change the concept from love things and use people to love people and use things •we all specially developing countries /Africa
must catch the cloud of everything (thing-people-process-data)train to address
the 17 SDG Goals but if any one miss it will no hope at all
•The cloud of things technology, helping elderly and handicapped people and holds the promise of fixing the millennium-old human problems of poverty, disease, violence, and poor leadership in Africa and all the world
At a time when all the world are worried about the fast spreading Zika virus, it is figured out that a wearable device could be an effective tool for preventing it, "You can compute the genome of a human being in less than seven days," "One day we will have the genome sequence of all our patients and we are then in the position to compare [that] data on a regular base with reference data."
This allows clinicians to easily identify defects in the genome and can also be used to compute the chance that someone will get a type of cancer
. A true success comes when you help others be successful leaders create leader not followers. s. It is estimated that approximately 50 billion things will be connected to each other through the communication network by 2020. A massive set of data will be created
Or by 2030 for Africa…it will be good for 10 years difference so we can fix all Africa and developing countries problems in 2030 for developed countries in 2020
The IOT will create new services based on real-time physical world data and will transform businesses, industries, and the daily life of people. Smart cities (connected communities), smart planet (green environment), smart building (building, smart homes), smart industry (industrial environment), smart energy (electric grid), smart transport (intelligent transport system), smart living (entertainment, leisure), smart health (health care system) are examples of the Internet of things.
a true success comes when you help others be successful and this true success comes in case of universal adoption of cloud of things in Africa and all the world.
“If cloud of things opportunity does not knock, build a door for it” the only impossible cloud of things journey is the one you never begin
https://onedrive.live.com/?id=94B6ABA85272A3A5%21443&cid=94B6ABA85272A3A5&group=0
http://globecom2015.ieee-globecom.org/program/industry-program/posters
http://www.ijird.com/index.php/ijird/issue/view/6167
https://www.slideshare.net
search by :assem abdl hamied moussa/assem abdel hamed mousa/assem moussa/assem mousa
http://www.ipoareview.org/wp-content/uploads/2016/05/Statement-by-Dr.Assem-Abdel-Hamied-Mousa-President-of-the-Association-of-Scientists-Developers-and-FacultiesASDF.pdf
Mobile computing allows people to access network services from any location using portable wireless devices. It has two types of mobility: user mobility which follows the user between locations and devices, and device portability which involves moving the communication device. The document discusses the past, present and future of mobile computing technologies including wireless networks, devices like smartphones and PDAs, and challenges around mobility, security and heterogeneous networks. It provides examples of mobile computing applications in various industries.
This document summarizes several research projects related to autonomic and self-aware systems. It discusses proprioceptive systems like EPiCS which aim to develop self-aware and self-expressive computing systems. It also discusses swarm robotics projects like SYMBRION that develop robotic swarms capable of self-organization. Data management projects like SAPERE and RECOGNITION seek to develop self-aware techniques for acquiring and managing large amounts of data and content.
- Octoblu is an industrial IoT platform that connects physical devices and allows them to communicate and exchange data seamlessly.
- It provides a visual editor to design automated workflows without coding. Workflows can control devices and run securely in the cloud or on-premise.
- Octoblu was used to connect all devices and systems in the Kingdom Tower in Jeddah, including security, lighting, HVAC, and more to automate building management.
This document provides an overview of the Distributed Systems course at the University of Tartu, Institute of Computer Science. It outlines the practical details of the course including lectures, discussion seminars, homework assignments and exams. It also introduces some of the key topics that will be covered such as characterizing distributed systems, examples of distributed systems, trends in distributed computing and challenges in building distributed systems such as heterogeneity, openness and security.
The document discusses the three generations of the internet:
- First generation (Web 1.0) included static web pages with hyperlinks for navigation.
- Second generation (Web 2.0) focused on user-generated content and social media with information sharing.
- Third generation (Web 3.0) aims to organize information logically so software agents can understand it, with smarter search engines.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
7. Applications
• Computer to Computer Interactions - Universal
content access and control
• Human to Human Interactions - Productivity apps
• Human - Physical, Computer - Physical Interactions
- Smart homes, environments etc.
8. Smart Devices and Services
• Smart Devices Characteristics - Mobility, Open
Service Discovery, Intermittent Resource Access.
• Smart Devices -
• Tans, Pads, boards,
• Dust, skin, clay.
10. • Reducing system complexity by abstraction -
• Modularisation (high cohesion, loose coupling),
Interoperability, Transperancy, Virtualization
• Service Oriented Computing
• Service Provision Life Cycle -
11. • Service Discovery Interaction Patterns
• Service Invocation - Co-ordinated, on-demand, volatile
• Service Composition
12. Human Computer Interaction
(HCI)
• Researches the design and use of computer
technology, focusing particularly on the interfaces
between people (users) and computers.
14. Implicit HCI
• “An action, performed by the user that is not
primarily aimed to interact with a computerized
system but which such a system understands as
input.”
• Model of Human used as additional input
• Need to share implicit context between human and
system
• Implicit interaction naturally supports hidden device
design.
15. iHCI with Smart Devices
• Single vs Multi Modal visual interfaces
• Gesture interfaces
• Reflexive vs Active Displays
• Natural Language Interfaces
• Combining input and output interfaces.
• Tangible User Interfaces
16. iHCI with Wearables
• Using technology to extend a person's normal
conscious experience.
• Command and Non-command interfaces
• Non - command interfaces - motion segmentation,
object classification, tracking, interpretation.
• Brain Computer Interfaces
• Computer implants (cyborgs)
• Virutal, Augmented, Mediated Realities
• Telepresence and Telecontrol
17. References
• Stefan Poslad
Ubiquitous Computing - Smart Devices,
Environments and Interactions
http://www.eecs.qmul.ac.uk/~stefan/ubicom/resourc
es-instructors.htm