Ambient intelligence (AmI) refers to digital environments that are sensitive, adaptive, and responsive to human presence and needs. AmI aims to enhance safety and quality of life through networked sensors and devices that recognize users and adapt environments accordingly. Key technologies enabling AmI include ubiquitous computing, ubiquitous interfaces, and ubiquitous communications. Major applications of AmI include healthcare monitoring, public transportation, education, emergency services, and production monitoring through technologies like sensors, RFID, affective computing, and biometrics. While AmI promises benefits, challenges include high costs, ensuring user acceptance, and addressing security and privacy risks.
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.
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and with the environment. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence. Because these contributing fields have experienced tremendous growth in the last few years, AmI research has strengthened and expanded. Because AmI research is maturing, the resulting technologies promise to revolutionaries daily human life by making people's surroundings edible and adaptive.
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.
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and with the environment. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence. Because these contributing fields have experienced tremendous growth in the last few years, AmI research has strengthened and expanded. Because AmI research is maturing, the resulting technologies promise to revolutionaries daily human life by making people's surroundings edible and adaptive.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze the increasing economic feasibility of wearable electronics in health care applications. Rapid improvements in sensors, integrated circuits, transceivers, displays, mobile phones, and wireless networks are causing the cost to fall and the performance to rise for wearable applications. These slides analyze hand, head, and body worn electronics in detail including smart watches, wrist and finger devices, smart glasses and textiles, patches, and foot and arm wear. They also analyze a wide variety of sensors for collecting healthcare information including inertial, bio, chemical, and haptic sensors.
Ambient Intelligence perspective from IoT insightPrasan Dutt
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. )
Bio-Electronics, Bio-Sensors, Smart Phones, and Health CareJeffrey Funk
Improvements in ICs, MEMS, bio-electronic ICs, and other electronics are enabling a wide range of new solutions for health care. So-called lab-on-a-chip can sense and process many types of biological data and thus help monitor health. Smart phones are becoming an important part of this process as attachments for phones proliferate. Big data services will be necessary to benefit from these new devices.
Textile Futures: Smart Garments and E-Textiles: Well-being and our Connected ...Barbara Trippeer
Presentation on the development of SMART garment systems for healthcare and fashion/apparel, and proposals for new methods of user engagement to enhance project development.
Ambient Intelligence the way for the easy future.AmI leds us to interact with devices in such a way that we never feel alone its like a magic between human and technology.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze the increasing economic feasibility of wearable electronics in health care applications. Rapid improvements in sensors, integrated circuits, transceivers, displays, mobile phones, and wireless networks are causing the cost to fall and the performance to rise for wearable applications. These slides analyze hand, head, and body worn electronics in detail including smart watches, wrist and finger devices, smart glasses and textiles, patches, and foot and arm wear. They also analyze a wide variety of sensors for collecting healthcare information including inertial, bio, chemical, and haptic sensors.
Ambient Intelligence perspective from IoT insightPrasan Dutt
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. )
Bio-Electronics, Bio-Sensors, Smart Phones, and Health CareJeffrey Funk
Improvements in ICs, MEMS, bio-electronic ICs, and other electronics are enabling a wide range of new solutions for health care. So-called lab-on-a-chip can sense and process many types of biological data and thus help monitor health. Smart phones are becoming an important part of this process as attachments for phones proliferate. Big data services will be necessary to benefit from these new devices.
Textile Futures: Smart Garments and E-Textiles: Well-being and our Connected ...Barbara Trippeer
Presentation on the development of SMART garment systems for healthcare and fashion/apparel, and proposals for new methods of user engagement to enhance project development.
Ambient Intelligence the way for the easy future.AmI leds us to interact with devices in such a way that we never feel alone its like a magic between human and technology.
Security and Privacy Consideration for Internet of Things in Smart Home Envir...IJERD Editor
Internet Of Things(IOT) has emerged as a trustworthy technology to improve the quality of life in
smart homes through offering various automated, interactive and comfortable services. Sensors integrated at
different places in homes, offices, and even in clothes, equipment, and utilities are used to sense and monitor
owners’ positions, movements, required signs, valuable usage, temperature and humidity levels of rooms, etc.
Along with sensing and monitoring capabilities, sensors cooperate and communicate with themselves to deliver;
share and process sensed information and help real-time decision making procedures through activate suitable
alerts and actions. However, ensuring privacy and providing enough security in these required services provided
by IOTs is a major issue in smart home environments. In this paper, we examine the privacy and security
challenges of IOTs and survey its possibilities for smart home environments. We discuss the unique
characteristics that differentiate a smart environment from the rest, elaborate on security and privacy issues and
their respective solution measures. A number of challenges and interesting research issues appearing from this
study have been reported for further analysis.
PPT on Cutting Edge Technology Demonstration in NursingArchanaSelvan
Cutting Edge Technology is the need of hour to modern nursing for promoting comfort of patient and reducing time and energy of nurses - the health care provider in all setting.
Telemedicine, the remote delivery of healthcare services using telecommunications technology, has gained significant prominence in recent years, including its application in clinical research. Telemedicine in clinical research refers to the use of virtual visits, remote monitoring, and telecommunication tools to facilitate participant enrollment, data collection, study assessments, and monitoring in research studies. Here are some key aspects and benefits of telemedicine in clinical research:
Participant Recruitment and Access:
Telemedicine enables researchers to expand their participant pool beyond geographical limitations. By leveraging telecommunication tools, researchers can reach individuals who may face challenges with physical access to study sites, such as those living in remote areas or individuals with mobility issues. This broader reach enhances participant recruitment and diversity, contributing to the generalizability and representativeness of research findings.
Remote Study Visits and Data Collection:
Telemedicine allows for remote study visits, eliminating the need for participants to travel to study sites. Through video consultations and remote assessments, researchers can conduct interviews, collect data, perform examinations, and administer questionnaires remotely. This approach reduces participant burden, increases convenience, and enhances compliance by minimizing the time and effort required for in-person visits.
Real-Time Monitoring and Data Capture:
Telemedicine facilitates the collection of real-time data by remotely monitoring participants' health status and adherence to study protocols. Wearable devices, mobile health applications, and sensors can be used to capture vital signs, medication adherence, activity levels, and other relevant data. Researchers can access and analyze this data in real-time, enabling early detection of adverse events, improving safety monitoring, and enhancing the accuracy and completeness of data collection.
Patient Engagement and Retention:
Telemedicine enhances patient engagement by providing more frequent interactions with study staff and personalized support. Regular virtual check-ins, educational sessions, and feedback can strengthen the participant-researcher relationship, leading to increased participant satisfaction and retention. Telemedicine also offers flexibility in scheduling visits, reducing missed appointments, and improving overall study adherence.
Cost and Time Efficiency:
Telemedicine can reduce the overall cost and time associated with conducting clinical research. It eliminates or reduces travel expenses for participants and reduces the need for physical study site infrastructure.
Pervasive Computing Applications And Its Security Issues & Challengesiosrjce
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.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
3. What is AmI?
Ambient intelligence(AmI) is an emerging
discipline that brings intelligence to our every-
day environments and makes those
environments sensitive to us.
Ambient Intelligence is a network of hidden
intelligent interfaces that recognize our presence
and mould our environment to our immediate
needs.
4. What is AmI?
AmI refers to an exciting new paradigm in
information technology, in which people are
empowered through a digital environment
that is aware of their presence and context
and is sensitive, adaptive and responsive
to their needs, habits, gestures and
emotions.
It reduces the stress leading to an overall
higher quality of life.
11. Adaptation to user involves
understanding- Who the user is
- User’s particular needs,
desires and habits.
Environment changes constantly
-Devices must track and adapt
17. Achievement…..
Ambient Intelligence aims to enhance the way
people interact with their environment to
promote safety and to enrich their lives.
The achievement of Ambient Intelligence
largely depends on the technology deployed
(sensors and devices interconnected through
networks) as well as on the intelligence of the
software used for decision-making.
19. ● Perception is accomplished using variety of sensors.
● Software algorithm perceives the environment and
specifies the action that can be taken to change the state
of the environment.
● Sensors have been designed for position measurement,
for detection of chemicals and humidity sensing, and
to determine readings for light, radiation,
temperature, sound, strain, pressure, position,
velocity, and direction, and physiological sensing to
support health monitoring.
Sensing
20. Human Computer Interaction
● Explicit input must now be replaced with more
human-life communication capabilities and with
implicit actions.
● Technologies : motion tracking, gesture
recognition, facial expression recognition and
emotion recognition, speech processing, and even
whistle processing facilitate natural interactions
with intelligent environments.
21. The metaphor change of Ambient Intelligence from function orientation
to goal orientation effects that a user becomes a smart player within a proactive
intelligent environment
22. Technologies Used in AmI
Radio Frequency Identification
Microchip implant (human)
Sensor
Affective Computing
Nanotechnology
Biometrics
23. Radio Frequency Identification
Radio-frequency identification (RFID) is the use of a
wireless non-contact system that uses radio-
frequency electronic fields to transfer data from a tag
attached to an object.
24. Microchip implant (human)
A human microchip implant is an integrated circuit
device or RFID transponder encased in silicate glass
and implanted in the body of a human being. It typically
contains a unique ID number that can be linked.
25. Sensor
A sensor is also called detector which is a
convector that measures a physical quantity and
converts it into a signal which can be read by an
observer .
26. Affective Computing
•Affective computing is the study and development
of systems and devices that can recognize human
affects.
• In Affecting computing ,the machine should
interpret the emotional state of humans and adapt
its behavior to them, giving an appropriate response
for those emotions.
Nanotechnology- able to
create many new materials
and devices with a vast range
of medicine , electronics.
29. Drawbacks
•Need high finance to install and to maintain the
environment.
•Technology is to be incorporated into the daily
routines of different class of people.
•Makes people lazy.
30. Security Risks
● AmI technologies can raise other security issues. At
the sensor level, sensor reliability, handling errors,
and installation errors can create security risks.
Absolutely critical for market acceptance.
31. Applications
Health-related applications
Public transportation sector
Education services
Emergency services
Production-oriented services
Biggest adopters of AmI:
Healthcare
Home automation
32.
33. AmI APPLICATIONS
● Health-related applications: Hospitals can
increase the efficiency of their services by
monitoring patients’ health and progress by
performing automatic analysis of activities in
their rooms. (Sensing and monitoring)
34. AmI APPLICATIONS
● Emergency services: Safety-related services
like fire brigades can improve the reaction to a
hazard by locating the place more efficiently
and also by preparing the way to reach the
place in connection with street services.
35. AmI APPLICATIONS
● Production-oriented places: Companies can use
RFID sensors to tag different products and track
them along the production and
commercialization processes.
● It helps improving the process by providing
valuable information for the company on how to
react to favourable demand and unusual events
like products that become unsuitable for sale.